Interactive Technologies and Autism, Second Edition

Kientz, Julie A.; Hayes, Gillian R.; Goodwin, Matthew S.; Gelsomini, Mirko; Abowd, Gregory D.

doi:10.2200/s00988ed2v01y202002arh013

Cited by 5 publications

(8 citation statements)

References 634 publications

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“…Country of origin of the study was reported based on (i) the information provided in the methodology, or (ii) the affiliation of the corresponding or the first author of the paper. To classify the types of technologies used in each paper, we adapted the classification proposed by Kientz et al [ 30 ] which includes six different types of interface, namely (a) Personal computers (PC) or mobile, (b) shared interactive interfaces, (c), virtual, augmented, and mixed reality, (d) sensor-based and wearable, (e) natural user interfaces, and (f) robotics. Likewise, to rate the maturity of the technology identified, we used the maturity levels proposed by Kientz et al [ 30 ], that is, (a) functional prototype or (b) publicly available.…”

Section: Methodsmentioning

confidence: 99%

“…To classify the types of technologies used in each paper, we adapted the classification proposed by Kientz et al [ 30 ] which includes six different types of interface, namely (a) Personal computers (PC) or mobile, (b) shared interactive interfaces, (c), virtual, augmented, and mixed reality, (d) sensor-based and wearable, (e) natural user interfaces, and (f) robotics. Likewise, to rate the maturity of the technology identified, we used the maturity levels proposed by Kientz et al [ 30 ], that is, (a) functional prototype or (b) publicly available. Specifically, a functional prototype refers to technology that has been developed and interacted with the intended users for the target purposes but may require assistance with setup, use, or maintenance.…”

Section: Methodsmentioning

confidence: 99%

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Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review

2021

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The aim of this systematic review is to identify recent digital technologies used to detect early signs of autism spectrum disorder (ASD) in preschool children (i.e., up to six years of age). A systematic literature search was performed for English language articles and conference papers indexed in Pubmed, PsycInfo, ERIC, CINAHL, WoS, IEEE, and ACM digital libraries up until January 2020. A follow-up search was conducted to cover the literature published until December 2020 for the usefulness and interest in this area of research during the Covid-19 emergency. In total, 2427 articles were initially retrieved from databases search. Additional 481 articles were retrieved from follow-up search. Finally, 28 articles met the inclusion criteria and were included in the review. The studies included involved four main interface modalities: Natural User Interface (e.g., eye trackers), PC or mobile, Wearable, and Robotics. Most of the papers included (n = 20) involved the use of Level 1 screening tools. Notwithstanding the variability of the solutions identified, psychometric information points to considering available technologies as promising supports in clinical practice to detect early sign of ASD in young children. Further research is needed to understand the acceptability and increase use rates of technology-based screenings in clinical settings.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review

2021

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“…Specialists decided for two tasks for each interaction mode in each session because a single task was considered too short (at maximum 2 minutes). We opted for a 6 sessions long study (approximately 1.5 months) for two reasons: i) participants should experience equally PM, RM, and TM in a randomized order, therefore the number of sessions should be a multiple of 3; ii) 6 sessions seemed to be a reasonably long period (also compared with other existing studies with persons with ID [32]) to observe an evolution in performance.…”

Section: Designmentioning

confidence: 99%

“…Several studies investigated the use of interactive technology [32] to support people with ID in enhancing their cognitive, behavioral, social, and sensorimotor capabilities. Some of them focused on Tangible User Interfaces (TUIs) [3,14,20,56], which are characterized by the combination of digital and physical contents and the use of manipulative interaction.…”

Section: Introductionmentioning

confidence: 99%

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Phygital interfaces for people with intellectual disability: an exploratory study at a social care center

Gelsomini

Spitale

Garzotto

2021

Multimed Tools Appl

Self Cite

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Phygital interaction is a form of tangible interaction where digital and physical contents are combined in such a way that the locus of multimedia information is detached from the physical material(s) manipulated by the user. The use of phygital interaction is supported by several theoretical approaches that emphasize the development of cognitive skills dependent upon embodied interactions with the physical environment. Several studies demonstrate the potential of using phygital technologies for supporting people with intellectual disabilities (ID) in the development of cognitive, sensorimotor, social and behavioral skills. Our research aims at exploring the potential of phygital interaction for (young) adults with ID in a real setting, using a research platform called Reflex as a case study. For this purpose, we ran an empirical study involving 17 participants with ID and 8 specialists, and compared Reflex with approaches making use of only digital contents or paper-based materials. Our findings highlighted the potentials of phygital approaches to perform interventions with people with ID, enhancing their performances with an appreciated interaction method. In addition, the post-study interviews with specialists favoured the adoption of phygital technologies in a social care context.

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A user-based information rating scale to evaluate the design of technology-based supports for autism

Zervogianni,

Fletcher-Watson,

Herrera

et al. 2023

Univ Access Inf Soc

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The present study aimed to merge expertise from evidence-based practice and user-centered design to develop a rating scale for considering user input and other sources of information about end-users in studies reporting on the design of technology-based support for autism. We conducted a systematic review of the relevant literature to test the reliability and validity of the scale. The scale demonstrated acceptable reliability and validity based on a randomized sample of 211 studies extracted from the output of the systematic review. The scale can help provide a more complete assessment of the quality of the design process of technology-based supports for autism and be beneficial to autistic people, their families, and related professionals in making informed decisions regarding such supports.

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Interactive Technologies and Autism, Second Edition

Cited by 5 publications

References 634 publications

Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review

Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review

Phygital interfaces for people with intellectual disability: an exploratory study at a social care center

A user-based information rating scale to evaluate the design of technology-based supports for autism

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