• Research Article
  • |
  • Open Access

Information & Communication Technologies use by Children & Youth with Autism Spectrum Disorder: Promise and Perils

  • Sarah J Macoun;
    • Department of Psychology, University of Victoria, Canada
  • Buse Bedir;
    • Department of Psychology, University of Victoria, Canada
  • Kevin Runions;
    • Telethon Kids Institute, University of Western Australia, Australia
  • Laurissa Evancio Barker;
    • Department of Educational Psychology and Leadership Studies, University of Victoria, Canada
  • Drew Halliday;
    • Department of Psychology, University of Victoria, Canada
  • Jessi Lewis
    • Department of Psychology, University of Victoria, Canada
  • Corresponding Author(s): Sarah J Macoun

  • Department of Psychology, University of Victoria, PO-box 1700 STN CSC, Victoria, BC, Canada V8W 2Y2, Canada

  • sjmacoun@uvic.ca

  • Macoun SJ (2021).

  • This Article is distributed under the terms of Creative Commons Attribution 4.0 International License

Received : Dec 14, 2020
Accepted : Jan 28, 2020
Published Online : Feb 02, 2020
Journal : Journal of Psychiatry and Behavioral Sciences
Publisher : MedDocs Publishers LLC
Online edition : http://meddocsonline.org

Cite this article: Macoun SJ, Bedir B, Runions K, Barker LE, Halliday D, et al. Information & Communication Technologies use by Children & Youth with Autism Spectrum Disorder: Promise and Perils. J Psychiatry Behav Sci. 2021; 4(1):1047.

Abstract

The current era of Information and Communication Technologies (ICTs) has led to new means of and scope for social interactions and interconnectedness, with potential impacts on the development and quality of interpersonal relationships. Many individuals with Autism Spectrum Disorders (ASD) prefer computer-based interactions and could benefit from the social opportunities offered through this medium. This paper provides a systematic review on ICT use for social and communication purposes in individuals with ASD. Our review suggests that research in this area is extremely limited but that ICT use may present both risk and protective factors in ASD. We highlight gaps in the existing research literature and provide a conceptual framework for future investigation.

Introduction

      Information and Communication Technologies (ICTs) refers to the technology used for providing access to information, including those used for socialization and communication purposes [1]. The current era of ICTs has evoked new means of social connections and interactions with significant impact on the development of interpersonal relationships [2-7]. ICT use can meet the need for companionship and social engagement, supplement face-to-face contact with friends, and help to strengthen existing friendships [8-12]. Greater connectedness through ICTs has been associated with improved social engagement, increased perceptions of social support, closer relationships, decreased depression/loneliness, and enhanced self-esteem and well-being [10,12,13]. Further, ICTs may be an appealing and compensatory alternative for individuals with social difficulties [14].

      Many individuals with Autism Spectrum Disorder (ASD), for whom face-to-face exchanges can be challenging, prefer computer-based interactions and could benefit from the social opportunities offered through this medium [15,16]. While there is evidence that individuals with ASD engage heavily with media and computer-related activities [15-17], there is limited research regarding patterns of ICT use in this population and their potential benefits and risks. This paper provides a system atic review on the use of ICTs in individuals with ASD, while also highlighting gaps in the research and presenting a conceptual framework for future investigation.

      Problems initiating and maintaining relationships due to social-communication challenges define ASD and persist across the lifespan [18] as demonstrated in recent reviews of the nature of friendships and social risks in ASD [19,20]. Individuals with ASD have limited social interactions when compared with their typically developing peers [19,21,22]. This includes restricted social support networks, fewer satisfying relationships and less reciprocal relationships [23,24]. Within the friendships that do exist, they report less companionship, security, intimacy, support, and lower social status [19,25]. In spite of their social challenges, many individuals with ASD desire social interactions and friendships and experience distress around social isolation [26,27]. Those with ASD who have broader social networks experience less loneliness, a greater sense of self-worth, and improved mental health [28,29]. In other words, having a network of friends appears to mitigate against some of the negative effects of social-communication challenges in ASD [30,31]. ICTs hold promise for expanding social networks and building social connections.

      A recent exploration of media and ICT use among youth with ASD found that 98% of adolescents with ASD used computers for an average of five hours per day [32]. Their most frequent online activities were solitary, including watching cartoons/ video clips, engaging in single-player videogames, and visiting computer game information websites [32]. Further, youth with ASD spent fewer hours per day (0.2 hours) using social media compared to typically developing youth (1 hour) and those with other developmental disabilities (i.e. learning, communication, and intellectual disabilities; [33]). Youth with ASD who used computers for social purposes, including visiting social networking sites and emailing with friends/family, reported more positive relationships than who did not use the computer socially [32]. Youth with ASD also had more of an appreciation for the structural aspects of ICTs (textual, self-paced communication) than their typically developing peers [34]. Interestingly, those with more severe autistic symptoms who used ICTs more frequently demonstrated lower satisfaction with their lives outside of ICTs. These findings are mixed, but suggest that while there may be a benefit to using ICTs for social engagement in individuals with ASD, many individuals with ASD may not naturally gravitate towards using ICTs for social purposes.

      Dimensions of ICT use and its social potential has been only minimally examined among individuals with ASD. Bahiss and colleagues [35] explored the use of social media websites (e.g., Facebook, Orkut) as a promising accessible and appropriate means for communication in youth with ASD and found that individuals with ASD experienced these sites as boring or confusing, lacking dynamic interactivity or interface, and were unmotivated to use them for social communication. Burke and colleagues [36] explored use of ICTs among youth and adults with ASD, documenting both promises and barriers to developing friendships via the Internet. Their respondents reported many benefits of ICTs, including reduced stress from nonverbal signals, the ability to find people with similar interests, and predefined interaction mechanisms. However, while they felt that ICTs helped them to initiate interactions, ICTs were not seen as conducive to maintaining interactions or friendships. Many interactions that were initiated online did not develop into lasting friendships, as respondents did not know who to trust (e.g., by drawing on previous cyber and traditional bullying experiences), how much personal information to disclose, or the unwritten rules of communication through ICTs (e.g., how face-to-face interaction translates to internet communication).

      It is unclear as to whether the inherent structural and functional qualities of ICTs place individuals with ASD on a more equal social ‘playing field’ and mitigate some of their socialcommunication difficulties or put them at higher risk. Online communication is different from face-to-face or even telephonic communication in important ways. Runions and colleagues [37] provide a conceptual framework detailing these differences as they pertain to cyber-aggression and cyber-victimization among typically developing youth, although this same theoretical approach can be applied to an exploration of benefits and risks of ICT use in ASD [37]. This framework maps the structural properties of ICTs onto Social Information Processing Theory [38] and describes ways in which the features of ICTs may alter certain core aspects of social information processing and social response, either working in favor or against youth with ASD. The first key communication difference with ICTs is the absence or paucity of non-verbal (facial expressions, gestures, and emotions) and paralinguistic (vocal prosody and speech intonation) cues in favor of text-only communication, or text augmented by photos. Secondly, ICT communication is asynchronous, where lags and delays in interaction are normative. A third communicative difference lies in the permanence of digital data. The fourth difference between communications on- and off-line is the pervasive social nature of communication (i.e., social networks) presenting an unquantifiable potential audience. Each of these technologically-based communicative affordances may pose particular risks and benefits for individuals with ASD.

      In this systematic review, we review existing data on the use of ICTs for mainly social and communication purposes in ASD. We consider the potential benefits and risks afforded by ICTs as reported in the small body of extant literature regarding on the online experiences of individuals with ASD. Finally, we outline a framework through which to investigate potential benefits and risks of ICTs in ASD [37].

Methods

Data sources and searches

      A comprehensive search of the electronic data bases PsychInfo and ERIC was conducted in January 2019 and then updated in July 2019. Keyword search terms included Autism, Autism Spectrum Disorder (ASD), Asperger’s, or Pervasive Developmental Disorder AND Information and Communication Technologies (ICT), computer mediated communication, internet use, online communication, online gaming, social media, social networking, and cyber-aggression/bullying/ victimization. In total, 1600 records were identified through database searches and 13 records were identified through the references sections of articles. 1486 records were identified after duplicates were removed. Forty-seven abstracts were screened, and 23 full text articles were reviewed after applying the exclusion criteria. Two of these 23 articles were removed as they did not meet the criteria, and 21 articles are included in this systematic review (Figure 1). No limits (i.e. publication date or age range) were imposed on the database search due to the limited research in this area. The reference lists of included papers were also screened for additional relevant publications.

Figure 1: Electronic search and screening methods

Study selection criteria

      For this review, we were interested in identifying how and in which ways individuals with ASD use ICTs for social and communication purposes. Inclusion criteria comprised any studies that examined how children, youth and adults diagnosed with ASD use any type of ICTs. Given the expanded date range for this systematic review, studies were included if their samples of individuals with ASD were diagnosed based on either the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition (DSM-IV/TR up to 2013; American Psychiatric Association, 2000) or the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition [19,39] criteria. For the purposes of this review, ICTs were operationalized as any type of computer, tablet or phone use of ICTs for communication, socialization and/ or leisure purposes including social media, chat rooms, forums, blogs and online gaming. Exclusion criteria included studies that used ICTs for specific intervention purposes (i.e. educational applications or ICTs specifically designed to remediate cognitive, social, language or other skills).

Data extraction

      Two independent examiners screened results for eligibility by title and abstract. When there was a disagreement, a third independent examiner was introduced to make a decision. Eligible studies were selected based on the examiners’ reviews of the abstracts. Then, key data were extracted by two reviewers (DH and BB). Key data were extracted from a total number of 23 studies; however, two of these studies were excluded as they were direct intervention studies.

Quality review

      Studies were subsequently reviewed for quality, based on measures suggested by Zeng and colleagues [40]. The majority of the included studies were cross-sectional and employed data derived from surveys. For these studies, the Agency for Healthcare Research and Quality (ARHQ) methodology checklist was used [41]. Most of the studies that were included employed measures with reliable psychometric properties. Additionally, studies that used less well-known surveys and questionnaires reported on the internal consistency of their measures. Recruitment strategies for ASD participants within studies varied, but typically recruitment occurred through targeting ASD groups, health care practitioners, and in some cases, databases available through major hospitals or research centers. The majority of studies included participants who were identified as having ASD on the basis of self- or parent-reported diagnosis, and nearly all studies failed to report on the presence of potential comorbid conditions that may have impacted interpretation of the findings (e.g., social anxiety, ADHD). Two of the included studies conducted reviews and we examined these for quality using the second edition of the Assessment of Multiple Systematic Reviews (AMSTAR-2) measurement tool [42]. Although the description of the individual studies and the synthesis of findings in each of these reviews were well-conducted, there were methodological shortcomings in both studies with respect to the reported strategies for study search and inclusion, as well as assessment for risk of bias. One case study was included and was examined for quality using the Newcastle-Ottawa Scale [43]. Quality in this study based on the Newcastle-Ottawa scale was high.

Results

      A total of 21 studies are included in the current systematic review. Key methodological characteristics of these studies are presented in Table 1. The included studies consist of one case study, one dissertation, two reviews, and 17 cross-sectional or observational studies. The studies reviewed include samples ranging from only one participant to 920 participants diagnosed with ASD. The included studies were conducted mainly in USA (n= 12) and Europe (n= 6), one in Japan, and two reviews. Given the novelty of the topic of interest, a variety of study types were used in the current systematic review. To summarize, study results are summarized in two parts: ICT use in individuals with ASD and risks and benefits of ICT use in individuals with ASD (Table 1).

table 1 Table 1

Table 1:

Patterns of ICT use in individuals with ASD

Amount of ICT use in individuals with ASD

      Eleven of the 21 studies reviewed (52%) reported on the time spent on ICT use in individuals with ASD. Results indicate that those with ASD appear to spend more time using ICTs than typically developing populations of the same age [34]. Findings also suggest that individuals with ASD use electronics (i.e. computers, laptops, smart phone or tablet) more and engage in more compulsive internet use as evidenced by longer electronics use and more time spent using Internet [15,33]. Taken together, these studies found that many individuals with ASD engage heavily with ICTs and computer-related activities. One study [44] surveyed individuals with ASD aged 16 and older and found that 95% of their participants used computers and 91% were regular Internet users.

Type of ICT use in individuals with ASD

      Thirteen of 21 studies (62%) described the specific ways that individuals with ASD engage with computers and other ICTs for leisure purposes. Even though most individuals with ASD use computers and Internet, the purpose of this use, and how it is used for social and communication purposes, varied depending on the study.

      Seven of 21 studies (33%) found that participants with ASD primarily used ICTs in a social manner, such as for interacting with others [44]. It was found that 83% of their ASD sample (ages 16 and older) used internet to communicate with others through email, online groups and online forums [33]. Another study similarly found that majority of ASD participants within their sample (ages 18 to 62; 79.6%) used social networking (i.e., blogs) for social connection purposes. Of note is that four of 21 studies reported that the individuals with ASD who were using social media and social networking sites reported having more close friends and higher friendship quality than those ASD who were using ICTs for non-social purposes [33,45-47].

      In contrast, four of the 21 studies reviewed reported different ICT use patterns in individuals with ASD compared to their typically developing peers, which tended to be less social and communicative in nature. These studies found that individuals with ASD generally used ICTs in a solitary manner. Specifically, Iglesias, Saanchez and Rodríguez found that individuals diagnosed with Asperger’s Syndrome (DSM-IV) used social media much less than other special needs groups (i.e., intellectual disability) and typically developing individuals [45]. Others found that even though 98% of adolescents with ASD used computers daily, playing video games and exploring websites were their most common activities [15,45] It was documented that those with ASD used electronics more and exhibited more compulsive internet and video game use compared to those without ASD [32]. Finally, others Noted that 64.2% of youth with ASD were using screen-based media for non-social purposes whereas only 13.2% were using screen-based media for social purposes.

Reasons for ICT use in individuals with ASD

      Eight of the 21 studies (38%) reported on why individuals with ASD use ICTs, primarily from the perspective of the individual diagnosed with ASD [32,33,44,45,48-51]. Overall, reasons cited for using ICTs included taking part in online groups to make contact with others with similar interests, advocating for themselves through media blogs, communicating with others without the pressure of in-person interactions (eye contact, immediate response etc.), expressing who they are in a ‘safe’ medium, and exploring websites focused on their areas of interest. The most common theme was that individuals who used ICTs for social networking did so in order to access other individuals who shared similar interests [48]. summarized first person reports from individuals with ASD who stated that their reasons for using ICTs/screen-based media included more control and comfort in online interactions, clearer communication online, the absence of nonverbal communication, and socialization purposes (to keep in touch and have relationships with others). Overall, these results suggest that individuals with ASD are using ICTs and screen-based media frequently; however, the purpose and the patterns of ICT use are variable, and more research is clearly needed to understand how ICT’s are being used and for what purposes in individuals with ASD of various ages.

Benefits and Risks of ICT use in individuals with ASD

      There are specific benefits and risks associated with ICT use [52-54] that may be even more pronounced in individuals with ASD compared to those without. Sixteen of 21 studies (76%) commented upon the potential benefits and risks associated with ICT use in individuals with ASD.

Benefits

      Ten of 21 studies (48%) reported on perceived benefits of ICTs in individuals with ASD. The themes that emerged were that ICT use may have social and mental health benefits in ASD. Seven of the 10 studies that reported on potential ICT benefits described specific social benefits, such as contacting others who share the same interests with them, having closer relationships and more friends, and experiencing higher friendship quality [33,44,45-47,50,51].

      Three of the 10 studies that described benefits of ICT use in ASD, reported on the mental health benefits of ICT use, such as decreased loneliness through having friends [46,55] and greater happiness in life [56].

      Finally, three of the 10 studies reported on other potential benefits of ICTs specific to ASD. First, individuals with ASD reported communication benefits in ICTs such that they prefer online communication because it provides more control and clarity in social interactions [48]. Second, it was also found that leisure use of ICTs could be leveraged to develop language and communication skills, and may be potentially effective for teaching social skills and social understanding [57]. Verbal imitation was reported to occur after exposure to ICTs, which could support development of social language and communication skills in individuals with ASD [16].

Risks

      Despite the potential benefits of ICTs considered above, it is important to recognize that the online social context might not support net gains in social and emotional wellbeing. For instance, the same negative processes that predispose youth with ASD to social communication difficulties and bullying in faceto-face contexts may also be present in the ICT medium [58- 60]. Overall, 6 of the 21 studies (29%) reported on the potential risks of ICT use in individuals with ASD. The main themes that emerged from these studies included the risk of cyberbullying, stress and anxiety caused by ICT use, perceived social risks, failures of ICT and compulsive internet use. First, two of the 6 studies that reported on potential risks of ICTs in ASD, highlighted the potential of cyberbullying in individuals with ASD [61,62]. Cyberbullying is defined as an intentional act of aggression or bullying that occurs through electronic forms of contact such as email, instant messaging or social networking sites [63]. Individuals who are bullied experience a significant impact on their health, and experience a range of negative psychological effects including anxiety, depression and low self-esteem [62,64,65]. Those with special needs are at a heightened risk of being bullied compared to others [62,66-68]. It was reported that 21% of individuals with ASDs (Asperger’s Disorder) had experienced cyberbullying in the past two months characterized by experiencing aggression through instant messaging and social networking sites [61]. It was found that there were no significant differences in cyberbullying rates between individuals with ASD, ID and typically developing individuals. However, given the particularly high risk of bullying in ASD when compared with other special needs groups [68,69], cyberbullying remains a significant risk factor of ICT use in individuals with ASD.

      Three of the 6 studies that cited ICT risks reported on potential mental health risks of using ICTs for individuals with ASD [34,49]. These risks included higher levels of anxiety and depression experienced by individuals with ASD due to cyberbullying [62] and concerns around whether to trust others online. Risks also included experiencing loneliness [49] and poorer life satisfaction [34]. Interestingly, [34] noted that although their sample with ASD reported positive feelings around their ICT use and relatively high levels of online life satisfaction, ICT use was negatively associated with general life satisfaction in this group. This may be because individuals with ASD who spend more time using ICTs have fewer in-person interactions, thus lowering general life satisfaction. Another possibility is that individuals with ASD who are less satisfied with their lives may turn to ICTs and spend more time online to build connections.

      Three of the 6 studies citing potential risks reported on compulsive ICT/computer use in individuals with ASD [15,33,55]. These studies found that individuals with ASD tend to use ICTs more compulsively and for a longer duration than those without ASD. In one study, parents of children/youth with ASD (ages 6 to 21) reported more problematic ICT use in their children compared to parents of typically developing children/youth [15]. Similarly, children with ASD spend more time playing video games and watching TV compared to all other non-screen activities combined [33], which can lead to compulsive computer use [33]. It was argues that these behaviours may be particularly problematic because compulsive ICT use reduces the frequency of non-screen-based activities such as physical exercise, reading or spending time with friends. Additionally, problematic videogame play, as evidenced by prolonged time playing video games, may lead to other unfavorable behaviours such as thinking about video games when not playing, getting upset or angry when not able to play or having difficulty disengaging from playing video games. Alternately, another study defined compulsive internet use as experiencing “loss of control” when using Internet and experiencing withdrawal symptoms when not able to use Internet [70]. This study reported that there were no significant differences in compulsive internet use between college students with ASD and typically developing students [70]. However, they did identify unique patterns of Internet use around special interests in ASD, such as frequenting certain websites focused on circumscribed interests.

      One study of 6 reported on the perceived social risks and failures of ICT use in individuals with ASD [49]. This study indicated that individuals with ASD used ICTs to initiate contact with others and to work around problems maintaining contact with others. However, they also reported some risks for ICT use in individuals with ASD, including not knowing whom to trust in online relationships, not knowing how much to disclose in online interactions, and concerns around being deceived in online relationships. Individuals with ASD reported not knowing how much information to share or how much to disclose with people they meet online and not understanding the norms of computer medicated communication (CMC). Additionally, individuals in this study reported difficulties maintaining contact with people they had met online, leading to negative feelings such as feelings of loneliness and having no one to talk to.

Discussion

      This study set out to explore dimensions of ICT use in individuals with ASD ranging from childhood through to adulthood. The limited body of research found suggests the majority of individuals with ASD are using ICTs for social (i.e. communicating with others through ICTs) and non-social (i.e. visiting websites, playing videogames) purposes. Compared to the typically developing population, individuals with ASD are spending more time using ICTs and seem to be more prone to using ICTs compulsively [15,33]. Further, those with ASD are using ICTs in a less social and communicative way (such as playing video games or exploring websites) compared to their typically developing counterparts [61]. Although an understudied area, there do appear to be potential benefits and risks of ICT use in ASD. The benefits of ICTs include ease/comfort of meeting and interacting with others, less pressure in social interactions, better friendship quality, increased happiness, and fewer mental health problems (e.g., low self-esteem and depression). The risks of ICT use include the potential for cyberbullying, compulsive Internet/computer use (i.e., spending prolonged periods of time using ICTs), problematic ICT use (i.e. not engaging in other non-screen-based activities) and limited understanding of the nature of online interactions (i.e., not knowing whom to trust or how much information to disclose, thus increasing stress).

      Current literature on ICT use in ASD is limited, making it difficult to form firm conclusions based on age or gender, and it is clear that more systematic research is needed. Based on the systematic review conducted, several themes emerged. First it appears that children/youth (aged between 6 and 21) with ASD are using ICTs more compulsively than their peers. We could not find literature on compulsive ICT use for adults with ASD and more research is needed to determine whether compulsive ICT use is also an issue in adulthood. Second, youth and adults with ASD who use ICTs reported better mental health outcomes and higher online life satisfaction. They also reported enjoying meeting others online due to feeling more comfortable and having clearer communication in the online medium [33,47,48,56]. Third there is some data on cyberbullying experiences in ASD from childhood through early adulthood (ages 10-25; [61,62], but we could not find any information on cyberbullying experiences after age 25. Finally, in terms of trends based on gender, it appears that females with ASD may use internet and ICTs for socialization/communication purposes more so than males [44]. Additionally, a higher number of males use ICTs to play video games (i.e. in non-social ways) compared to females [15].

      It is clear that research on ICTs in ASD is in its infancy and fraught with limitations. First, the few studies that do exist rely on convenience samples rather than the broader community of individuals with ASD and do not differentiate between experienced and inexperienced ICT users. Key factors such as severity of ASD, gender, and age have not been explored, despite the known impact of these variables on communication, social function, and dimensions of ICT use. Studies in youth have often gathered information from a parent-only perspective [15,16], which may not accurately mirror children, youths or adults’ experiences [19]. When studied from a first-person view, researchers have typically used self-report measures and surveys of emotional and social experiences and perceptions. However, these are difficult to interpret in ASD, given challenges with communication and social-emotional understanding [71]. Even less is known about the impact of ICTs on social-communication and friendships in ASD. Questions regarding how ICTs actually influence social functioning, either on- or off-line, and how this extends to relationships, mental health, and quality of life outside of the online medium and across the lifespan are unanswered. The literature regarding the risks of ICT use in ASD and relative vulnerability of children with ASD is similarly scant. In part, these limitations relate to the absence of a strong theoretical basis from which to generate hypotheses regarding the anticipated impact of ICTs in this population. Structuring this research in a clear theoretical framework [37], provides a basis for generating hypotheses considering how the specific structural and functional properties of ICTs might operate for people with ASD, to either benefit or hinder communication and socialization.

A theoretically informed approach to investigating benefits and risks of ICTs in ASD

      Runions and colleagues [37] provide a conceptual framework detailing the differences between on-line and face to face communication as they pertain to cyber-aggression and cybervictimization among typically developing youth. However, this same theoretical approach, which maps the structural and functional properties of ICT’s onto social information processing theory, can be applied to explore of benefits and risks of ICT use in ASD. Below we review how four unique features of ICTs (paucity of nonverbal cues, asynchronous communication, permanence of digital data, and the virtual audience afforded by ICTs) might be used to investigate specific benefits/risks of ICT use in ASD.

Paucity of paralinguistic and nonverbal cues

      Online communication is characterized by a lack of paralinguistic and nonverbal cues. Nonverbal affective displays, expressed through facial expression, eye contact, emotional expression, and body language are absent [72], as are verbal cues such as tone of voice, vocal inflection, and breathing patterns. In non-ICT communication, these cues help to clarify intentions and the emotional meaning behind words. In ASD, problems with understanding facial expressions, reading body language, identifying emotions in others, and interpreting vocal intonation [18,73] result in ambiguity and problems with accurately gauging others’ intentions. The converse is also true in that individuals with ASD have difficulty producing appropriate nonverbal and paralinguistic cues, similarly leading to communication breakdowns. Online, verbal and nonverbal social cues are absent, creating the same ambiguity about the intent or meaning of the words for all users. While this may present risks for increased cyber-aggression amongst non-ASD youth [37], it may ‘level the communicative playing field’ for those with ASD through reducing the number of communication channels to attend to, streamlining or simplifying social interactions, and minimizing social misperceptions [74,75]. Further, communicative conventions such as emoticons have arisen in response to the ambiguity and lack of nonverbal cues during ICT communication. Emoticons assign emotional content to text-based communications and clarify message content that could potentially be misunderstood. While emoticons have the potential to be misunderstood and can create ambiguity (e.g., when a negative statement is followed by a positive emoticon; [76], they generally help to assign meaning and tag emotions to communications in a literal manner. In ASD, these emoticons may provide a concrete symbol scaffolding understanding of the emotional tone of a communication or its intent. Indeed, our systematic review indicates that adults with ASD report feeling more clarity and less stress during online communication, because they don’t have to attend to or interpret nonverbal cues [34,48,49].

Asynchronous nature of on-line communication

      ICT communication is asynchronous, where lags and delays in interaction are normative. When communicating via ICTs there is less expectation for uninterrupted, continuous engagement and it is understood that a friend may not be able to reply immediately. This normative lag may present opportunities for users with ASD who have difficulty with real-time reciprocal back-and-forth communication [18,73,77]. Rather than requiring a contextually-appropriate response to be generated in real-time, online communication permits a more deliberated response. This could allow for more control over the pacing of conversations, which may be helpful for those with ASD [34,48]. Further, conventions such as waiting for others to finish speaking before talking, turn-taking turns, and knowing how to enter and exit a conversation are less of an issue within an asynchronous medium. Indeed, the ‘slower pacing’ of internet communication has been perceived by ASD ICT users as advantageous, affording more time to process the message, practice social interactions, and formulate a response [48].

Online communication creates permanent records

      When we communicate via digital ICTs, most of our communications are permanent and shareable. Much theorizing on the impact of this has focused on the negatives arising from sharing of private images or communications (e.g., cyberbullying and sexting). For those with ASD, however, permanent records may allow them to review at their own pace, to re-visit/ re-examine communications and multimodal social cues (text, pictures, emoticons), and to plan response options. This provides time to apply a problem solving approach and shifts communication from abstract to more concrete. The permanence of digital data may provide an opportunity for to consult with others on response options or to clear up misunderstandings. This greater control over social interactions and opportunity to review is not present in most other modes of communication [48]. Indeed, those with ASD have noted that conversations via ICTs feel more predictable and structured, individually paced, and less stressful [34].

Online communication is simultaneously public and private

      A key difference between communications on- and off-line is the pervasive social nature of communication (i.e., social networks) presenting an unquantifiable potential audience. Although one-to-one text messaging remains popular, online communication is increasingly in ‘one-to-many’ modes (i.e., one individual communicating with an audience). The prevalence of sites like Facebook, Twitter and Instagram linking social networks means that communication via ICTs is increasingly conducted with a potentially unlimited audience, which affords both benefits and risks. The public nature of ICTs may increase risks for victimization as they make bullying acts easier to initiate and disseminate [37]. Further, the potential for a larger audience witnessing these acts intensifies their negative impact [78]. On the other hand, the one-to-many mode afforded through ICTs could be beneficial to those with ASD in that it permits users to participate in a group context and feel part of a larger ‘community.’ The one-to-many mode can also serve to broaden one’s social network, allowing initiation of social interactions with a greater number of individuals and increasing the likelihood of finding those with shared interests. Research suggests that individuals with ASD use ICTs to expand their social networks and connect with individuals who share similar interests [48,50]. In addition to expanding one’s social network, knowing that one is engaging successfully “in front” of an audience, even if a virtual one, may also support self-efficacy in youth with ASD. Many individuals with ASD exhibit social anxiety and discomfort, due to a long history of aversive social experiences and successful online socialization could mitigate against that [79,80].

      Although in front of an audience, ICTs also hold a degree of anonymity for the user. This has been cited as a risk factor for cyberbullying and victimization in that perpetrators may be more likely to initiate (due to their own anonymity) and maintain (due to anonymity of the recipient) bullying behavior [37]. However, for individuals with ASD, being able to initiate interactions without revealing one’s identity may allow social practice in a less ‘threatening’ manner thus reducing social discomfort [81]. Online anonymity allows people to experiment with their identity and express ideas they may not be comfortable communicating in face-to-face interactions [81]. Because of the anonymity afforded through ICTs, individuals self-disclose personal information more quickly than in face to face interactions, leading to greater perceived closeness to others and faster development of friendships [13,81-83].

      It is also important to recognize that the online social context might not support net gains in social and emotional wellbeing for individuals with ASD. It may be that the same negative processes that predispose those with ASD to social communication difficulties and bullying in face-to-face contexts are also present online. First, in order to reap the potential social benefits of ICTs, one needs to use ICTs for social purposes. Problematic internet use and a fixation on passive entertainment in some youth with ASD in addition to lower motivation to engage socially on line may limit on-line socialization opportunities [15,48]. Even among those willing to use ICTs for socializing, there is insufficient evidence as to whether the social practice that occurs through this medium has a downstream positive effect on real life social skills, friendships, and wellbeing [36,84]. Further, time spent socializing or developing superficial relationships online may come at the expense of quality, real world relationships which are protective for mental health in youth with ASD [i.e., time spent with family [85]. Finally, there is insufficient evidence as to whether ICTs truly compensate for some of the fundamental social problem-solving, perspective-taking, and communication deficits seen in individuals with ASD. Even within ICTs, individuals with ASD have difficulty understanding figures of speech and handling inappropriate requests [86]. The same pattern of deficits may exist when communicating both through ICT and non-ICT mediums, and the net gain of socializing in this manner may be negligible.

      It may also be that ICT mediated socialization also poses a risk of direct harm for individuals with ASD. The same properties of ICTs that place typically developing individuals at greater risk of victimization [37] may hold true for those with ASD. First, while individuals with ASD may be more likely to self-disclose in an ICT medium, a valid concern acknowledged by individuals with ASD is knowing when and how much to disclose to others, posing the risk of too much self-disclosure of private information [48]. Further, for non-ASD youth with developmental and intellectual disabilities, there is evidence of relatively high rates of cyberbullying, with a significant positive correlation between the use of technology and the prevalence of being bullied [87]. Indeed, preliminary research suggests that youth with ADHD and ASD may have higher rates of victimization via cyberbullying than typically developing youth, manifesting in increased anxiety, depression, and lower self-esteem [61].

Conclusion

      Similar to their typically developing peers, individuals with ASD are regularly engaging with ICTs. However, there is limited knowledge on the true benefits and risks of socializing and communicating in this medium. Ultimately, to answer questions of whether and how ICTs might improve life for individuals with ASD theoretically informed studies are required. We believe that the conceptual framework outlined above [35] provides a clear structure for investigating how the unique structural properties of ICTs map onto social and communicative differences in individuals with ASD, thus conferring either benefit or risk when socializing in this manner. Future studies should explore both the quality and quantity of friendships on- and off-line, how these are associated with and mediated by ICT use, and their broader impact on mental health and quality of life. In this endeavor, investigations of specific types of ICTs in relation to outcomes will be particularly enlightening, with a possible emphasis on how the use of socially-oriented multiplayer games or virtual formats, of particular appeal to the ASD population, might enhance social engagement and gains [33].

References

  1. Berg-Beckhoff G, Nielsen G, Ladekjar Larsen E. Use of information communication technology and stress, burnout, and mental health in older, middle-aged, and younger workers-results from a systematic review. Int J Occupational and Environ Health. 2017; 23: 160-171.
  2. Holtz P, Appel M. Internet use and video gaming predict problem behavior in early adolescence. J Adolescence. 2011; 34: 49- 58.
  3. Jones LM, Mitchell KJ, Finkelhor D. Online harassment in context: trends from three youth Internet safety surveys (2000, 2005, 2010). Psychology of Violence. 2012; 3: 53-69.
  4. Katz RL, Felix M, Gubernick M. Technology and adolescents: Perspectives on the things to come. Edu and Info Tech. 2013; 1-24.
  5. O’Keeffe GS, Clarke-Pearson K. Council on Communications and Media. The impact of social media on children, adolescents, and families. Pediatrics. 2011; 127: 800-804.
  6. Lenhart A, Purcell K, Smith A, Kickuhr K. Social media and mobile internet use among teens and young adults. Pew Internet and American Life Project. 2010.
  7. Werner NE, Bumpus MF, Rock D. Involvement in internet aggression during early adolescence. JYouth and Adolescence. 2010; 39: 607-619.
  8. Gross EF, Juvonen J, Gable SL. Internet use and well-being in adolescence. J Social Issues. 2002; 58: 75-90.
  9. Reich SM, Subrahmanyam K, Espinoza G. Friending, IMing, and hanging out face-to-face: Overlap in adolescents’ online and offline social networks. Developmental Psychology. 2012; 48: 356- 368.
  10. Valkenburg PM, Peter J. Preadolescents’ and adolescents’ online communication and their closeness to friends. Developmental Psychology. 2007; 43: 267-277.
  11. Wellman B, Haase AQ, Witte J, Hampton K. Does the Internet increase, decrease, or supplement social capital?: social networks, participation, and community commitment. American Behavioral Scientist. 2001; 45: 436-455.
  12. Kraut R, Kiesler S, Boneva B, Cummings J, Helgeson V, Crawford A. Internet paradox revisited. J Social Issues. 2002; 58: 49-74.
  13. Shaw LH, Gant LM. In defense of the internet: the relationship between Internet communication and depression, loneliness, self-esteem, and perceived social support. Cyberpsychology & Behavior: The Impact of the Internet, Multimedia and Virtual Reality on Behavior and Society. 2002; 5: 157-171.
  14. Peter J, Valkenburg PM, Schouten AP. Developing a model of adolescent friendship formation on the internet. Cyberpsychology & Behavior : The Impact of the Internet, Multimedia and Virtual Reality on Behavior and Society. 2005; 8: 423-430.
  15. MacMullin JA, Lunsky Y, Weiss JA. Plugged in: Electronics use in youth and young adults with autism spectrum disorder. Autism. 2016; 20: 45-54.
  16. Shane HC, Albert PD. Electronic screen media for persons with autism spectrum disorders: Results of a survey. J Autism and Developmental Disorders. 2008; 38: 1499-1508.
  17. Mineo BA, Ziegler W, Gill S, Salkin D. Engagement with electronic screen media among students with autism spectrum disorders. J Autism and Developmental Disorders. 2009; 39: 172-187.
  18. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders 5th Ed. Arlington, VA: American Psychiatric Association. 2013.
  19. Petrina N, Carter M, Stephenson J. The nature of friendship in children with autism spectrum disorders: A systematic review. Research in Autism Spectrum Disorders. 2014; 8: 111-126.
  20. Sreckovic MA, Brunsting NC, Able H. Victimization of students with autism spectrum disorder: A review of prevalence and risk factors. Research in Autism Spectrum Disorders. 2014; 8: 1155- 1172.
  21. Bauminger N, Shulman C, Agam G. The link between perceptions of self and of social relationships in high-functioning children with autism. J Developmental and Physical Disabilities. 2004; 16: 193-214.
  22. Kuo MH, Orsmond GI, Cohn ES, Coster WJ. Friendship characteristics and activity patterns of adolescents with an autism spectrum disorder. Autism. 2011; 17: 481-500.
  23. Carter AS, Davis NO, Klin A, Volkmar FR. Social development in autism. In F. R. Volkmar, R. Paul, A. Klin, & D. C. Cohen (Eds.), Handbook of Autism and Pervasive Developmental Disorders. 2013; 1.
  24. Levy A, Perry A. Outcomes in adolescents and adults with autism: A review of the literature. Research in Autism Spectrum Disorders. 2011; 5: 1271-1282.
  25. Locke J, Ishijima EH, Kasari C, London N. Loneliness, friendship quality and the social networks of adolescents with high-functioning autism in an inclusive school setting. J Research in Special Edul Needs. 2010; 10: 74-81.
  26. White SW, Oswald D, Ollendick T, Scahill L. Anxiety in children and adolescents with autism spectrum disorders. Clin Psychology Review. 2009; 29: 216-229.
  27. Williams WS, Keonig K, Scahill L. Social skills development in children with autism spectrum disorders: a review of the intervention research. J Autism and Developmental Disorders. 2007; 37: 1858-1868.
  28. Bauminger N, Shulman C, Agam G. Peer interaction and loneliness in high-functioning children with autism. J Autism and Developmental Disorders. 2003; 33: 489-507.
  29. Mazurek MO, Kanne SM. Friendship and internalizing symptoms among children and adolescents with ASD. J Autism and Developmental Disorders. 2010; 40: 1512-1520.
  30. Cottenceau H, Roux S, Blanc R, Lenoir P, Bonnet-Brilhault F, Barthelemy C. Quality of life of adolescents with autism spectrum disorders: comparison to adolescents with diabetes. Euro Child & Adolescent Psychiatry. 2012; 21: 289-296.
  31. Lasgaard M, Nielsen A, Eriksen ME, Goossens L. Loneliness and social support in adolescent boys with autism spectrum disorders. J Autism and Developmental Disorders. 2010; 40: 218-226.
  32. Mazurek MO, Shattuck PT, Wagner M, Cooper BP. Prevalence and correlates of screen-based media use among youths with autism spectrum disorders. J Autism and Developmental Disorders. 2012; 42: 1757-1767.
  33. Mazurek MO, Wenstrup C. Television, video game and social media use among children with ASD and typically developing siblings. J Autism and Developmental Disorders. 2013; 43: 1258- 1271.
  34. van der Aa C, Pollman M, Plaat A, van der Gaag R. Computer mediated communication in adults with high functioning autism spectrum disorders and controls. Research in Autism Spectrum Disordersd. 2016; 23: 15-27.
  35. Bahiss K, Cunningham SJ, Smith T. Investigating the usability of social networking sites for teenagers with autism. Proceedings of the 11th International Conference of the NZ Chapter of the ACM Special Interest Group on Human-Computer Interaction on ZZZ – CHINZ. 2010; 10: 5-8.
  36. Burke M, Kraut R, Williams D, Ave F. Social use of computer-mediated communication by adults on the autism spectrum. In Proceedings of the 2010 ACM conference on computer supported cooperative work. ACM. 2010a; 425-434.
  37. Runions K, Shapka JD, Dooley J, Modecki K. Cyber-aggression and victimization and social information processing: Integrating the medium and the message. Psychology of Violence. 2013; 3: 9-26.
  38. Crick NR, Dodge KA. A review and reformulation of social information-processing mechanisms in children’s social adjustment. Psychological Bulletin. 1994; 115: 74-101.
  39. Association AP. Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (Fifth). Arlington, VA: American Psychiatric Association. 2013.
  40. Zeng X, Zhang Y, Kwong JSW, Zhang C, Li S, et al. The methodological quality assessment tools for preclinical and clinical studies, systematic review and meta-analysis, and clinical practice guideline: A systematic review. J Evidence-Based Med. 2015; 8: 2-10.
  41. Atkins D, Fink K, Slutsky J. Better information for better health care: The Evidence-based Practice Center program and the Agency for Healthcare Research and Quality. Annals of Internal Medicine. 2005; 142: 1035-1041.
  42. Shea BJ, Reeves BC, Wells G, Thuku M, Hamel C, et al. AMSTAR 2: A critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. BMJ. 2017; 358.
  43. Wells GA, Shea B, O’Connell D, Peterson J, Welch V, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quailty of nonrandomised studies in meta-analyses. 2013.
  44. Benford P. Benford, Penny (2008) The use of Internet-based communication by people with Autism. University of Nottingham. 2008.
  45. Kuo MH, Orsmond GI, Coster WJ, Cohn ES. Media use among adolescents with autism spectrum disorder. Autism : The International Journal of Research and Practice. 2014; 18: 914-923.
  46. Sundberg M. Online gaming, loneliness and friendships among adolescents and adults with ASD. Computers in Human Behavior. 2018; 79: 105-110.
  47. van Schalkwyk GI, Marin CE, Ortiz M, Rolison M, Qayyum Z, et al. Social media use, friendship auality, and the moderating role of anxiety in adolescents with autism spectrum disorder. J Autism and Developmental Disorders. 2017; 47: 2805-2813.
  48. Benford P, Standen P. The Internet: a comfortable communication medium for people with Asperger Syndrome (AS) and High Functioning Autism (HFA)? J Assistive Technologies. 2009; 3: 44- 53.
  49. Burke M, Kraut R, Williams D, Ave F. Social use of computer-mediated communication by adults on the autism spectrum. Aust J Early Childhood. 2010a; 38: 425-434.
  50. Gillespie-Lynch K, Kapp S., Shane-Simpson C, Smith DS. Intersections between the autism spectrum and the Internet: perceived benefits and preferred functions of computer-mediated communication. Intellectual and Developmental Disabilities. 2014; 52: 456-469.
  51. Watabe T, Suzuki K. Internet communication of outpatients with Asperger’s disorder or schizophrenia in Japan. Asia-Pacific Psychiatry. 2015; 7: 27-35.
  52. Lim SS, Chan YH, Vadrevu S, Basnyat I. Managing peer relationships online - Investigating the use of Facebook by juvenile delinquents and youths-at-risk. Computers in Human Behavior. 2013; 29: 8-15.
  53. Merrill RA, Liang X. Associations between adolescent media use, mental health, and risky sexual behaviors. Children and Youth Services Review. 2019; 103: 1-9.
  54. Wang C, Li K, Kim M, Lee S, Seo DC. Association between psychological distress and elevated use of electronic devices among US. adolescents: Results from the youth risk behavior surveillance 2009-2017. Addictive Behaviors. 2019; 90: 112-118.
  55. Mazurek MO, Engelhardt CR. Video game use in boys with autism spectrum disorder, ADHD, or typical development. Pediatrics. 2013; 132: 260-266.
  56. Ward DM, Dill-Shackleford KE, Mazurek MO. Social media use and happiness in adults with autism spectrum disorder. Cyberpsychology, Behavior, and Social Networking. 2018; 21: 205-209.
  57. Wainer AL, Ingersoll BR. The use of innovative computer technology for teaching social communication to individuals with autism spectrum disorders. Research in Autism Spectrum Disorders. 2011; 5: 96-107.
  58. Cappadocia MC, Weiss JA, Pepler D. Bullying experiences among children and youth with autism spectrum disorders. J Autism and Developmental Disorders. 2012; 42: 266-277.
  59. Maïano C, Normand CL, Salvas MC, Moullec G, Aime A. Prevalence of school bullying among youth with autism spectrum disorders: A systematic review and meta-analysis. Autism Research. 2016; 9: 601-615.
  60. Zeedyk SM, Rodriguez G, Tipton L, Baker BL, Blacher J. Bullying of youth with autism spectrum disorder, intellectual disability, or typical development: Victim and parent perspectives. Research in Autism Spectrum Disorders. 2014; 8: 1173-1183
  61. Iglesias O, Sanchez LE, Rodriguez MA. Do young people with Aperger’s syndrome or Intellectual Disability use social media and are they cyberbullied or cyberbullies in the same way as their peers? Psicothema. 2019; 31: 30-37.
  62. Kowalski RM, Fedina C. Cyber bullying in ADHD and Asperger Syndrome populations. Research in Autism Spectrum Disorders. 2011; 5: 1201-1208.
  63. Kowalski RM. Cyberbullying: Bullying in the digital age. Agatston, PW: Limber, S. 2008.
  64. Dooley JJ, Shaw T, Cross D. The association between the mental health and behavioural problems of students and their reactions to cyber-victimization. Euro J Developmental Psychology. 2012; 9: 275-289.
  65. Lindsay S, McPherson AC. Experiences of social exclusion and bullying at school among children and youth with cerebral palsy. Disability and Rehabilitation. 2012; 34: 101-109.
  66. Baumeister AL, Storch EA, Geffken GR. Peer victimization in children with learning disabilities. Child and Adolescent Social Work Journal. 2008; 25: 11-23.
  67. Humphrey N, Lewis S. What does “inclusion” mean for pupils on the autistic spectrum in mainstream secondary schools? Journal of Research in Special Educational Needs. 2008; 8: 132-140.
  68. van Roekel E, Scholte RHJ, Didden R. Bullying among adolescents with autism spectrum disorders: prevalence and perception. J Autism and Developmental Disorders. 2010; 40: 63-73.
  69. Kloosterman PH, Kelley EA, Craig WM, Parker JD, Javier C. Types and experiences of bullying in adolescents with an autism spectrum disorder. Research in Autism Spectrum Disorders. 2013; 7: 824-832.
  70. Shane-Simpson C, Brooks PJ, Obeid R, Denton EG, GillespieLynch K. Associations between compulsive internet use and the autism spectrum. Research in Autism Spectrum Disorders. 2016; 23: 152-165.
  71. Semrud-Clikeman M, Walkowiak J, Wilkinson A, Minne EP. Direct and indirect measures of social perception, behavior, and emotional functioning in children with Asperger’s disorder, nonverbal learning disability, or ADHD. J Abnormal Child Psychology. 2010; 38: 509-519.
  72. Walther JB. Selective self-presentation in computer-mediated communication: Hyperpersonal dimensions of technology, language, and cognition. Computers in Human Behavior. 2007; 23: 2538-2557.
  73. Attwood T. The Complete Guide to Asperger’s Syndrome. Philadelphia, PA: Jessica Kingsley Publishers. 2007.
  74. Bowker N, Tuffin K. Disability discourses for online indentities. Disability and Society. 2002; 17: 327-344.
  75. Todis B, Sohlberg MM, Hood D, Fickas S. Making electronic mail accessible: perspectives of people with acquired cognitive impairments, caregivers and professionals. Brain Injury. 2005; 19: 389-401.
  76. Derks D, Bos AER, Grumbkow JV. Emoticons and social interaction on the Internet: the importance of social context. Computers in Human Behavior. 2007; 23: 842-849.
  77. Frith U. Autism: Explaining the enigma. Wiley Online Library. 1989.
  78. Sticca F, Perren S. Is cyberbullying worse than traditional bullying? Examining the differential roles of medium, publicity, and anonymity for the perceived severity of bullying. J Youth and Adolescence. 2013; 42: 739-750.
  79. Maddox BB, White SW. Comorbid Social Anxiety Disorder in Adults with Autism Spectrum Disorder. J Autism and Developmental Disorders. 2015; 45: 3949-3960.
  80. van Asselt-Goverts AE, Embregts PJCM, Hendriks AHC, Wegman KM, Teunisse JP. Do Social Networks Differ? Comparison of the Social Networks of People with Intellectual Disabilities, People with Autism Spectrum Disorders and Other People Living in the Community. J Autism and Developmental Disorders. 2015; 45: 1191-1203.
  81. Young CMY, Lo BCY. Cognitive appraisal mediating relationship between social anxiety and internet communication in adolescents. Personality and Individual Differences. 2012; 52: 78-83.
  82. McKenna KYA, Green AS, Gleason MEJ. Relationship formation on the internet: what’s the big attraction? J Social Issues. 2002; 58: 9-31.
  83. Ward CC. Relation of shyness with aspects of online relationship involvement. J Social and Personal Relationships. 2004; 21: 611- 623.
  84. Tian Q. Social anxiety, motivation, self-disclosure, and computer-mediated friendship: a path analysis of social interaction in the blogosphere. Communication Research. 2011; 40: 237-260.
  85. Ong C-S, Chang S-C, Wang C-C. Comparative loneliness of users versus nonusers of online chatting. Cyberpsychology, Behavior and Social Networking. 2011; 14: 35-40.
  86. Rajendran G, Mitchell P, Rickards H. How do individuals with Asperger syndrome respond to nonliteral language and inappropriate requests in computer-mediated communication? J Autism and Developmental Disorders. 2005; 35: 429-443.
  87. Didden R, Scholte RHJ, Korzilius H, de Moor JMH, Vermeulen A, et al. Cyberbullying among students with intellectual and developmental disability in special education settings. Developmental Neurorehabilitation. 2009; 12: 146-151.

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