The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
The Impact of Technology on People with Autism Spectrum Disorder: A Systematic Literature Review
Open accessAbstract
People with autism spectrum disorder (ASD) tend to enjoy themselves and be engaged when interacting with computers, as these interactions occur in a safe and trustworthy environment. In this paper, we present a systematic literature review on the state of the research on the use of technology to teach people with ASD. We reviewed 94 studies that show how the use of technology in educational contexts helps people with ASD develop several skills, how these approaches consider aspects of user experience, usability and accessibility, and how game elements are used to enrich learning environments. This systematic literature review shows that the development and evaluation of systems and applications for users with ASD is very promising. The use of technological advancements such as virtual agents, artificial intelligence, virtual reality, and augmented reality undoubtedly provides a comfortable environment that promotes constant learning for people with ASD.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
Heuristic evaluation of user interfaces
Nielsen, J., & Molich, R. (1990) · Proceedings of the SIGCHI conference on Human factors in computing systems Empowering people - CHI '90 · doi:10.1145/97243.97281 · Cited by 3,533
Die „Autistischen Psychopathen” im Kindesalter
Asperger, H. (1944) · Archiv für Psychiatrie und Nervenkrankheiten · doi:10.1007/bf01837709 · Cited by 2,163
Malamed, C. (2012) · eLearn · doi:10.1145/2207270.2211316 · Cited by 1,104
Innovative technology-based interventions for autism spectrum disorders: a meta-analysis
Grynszpan, O., Weiss, P. L. (., Perez-Diaz, F., & Gal, E. (2014) · Autism · doi:10.1177/1362361313476767 · Cited by 621 · cited 1×
“Studies have examined the use of technology and computer-based interventions to teach people with ASD language and social skills [1].”
BackgroundECHOES: An intelligent serious game for fostering social communication in children with autism
Bernardini, S., Porayska-Pomsta, K., & Smith, T. J. (2014) · Information Sciences · doi:10.1016/j.ins.2013.10.027 · Cited by 320
Interactive Technologies for Autistic Children: A Review
Boucenna, S., Narzisi, A., Tilmont, E., Muratori, F., Pioggia, G., Cohen, D., & Chetouani, M. (2014) · Cognitive Computation · doi:10.1007/s12559-014-9276-x · Cited by 310
Lorenzo, G., Lledó, A., Pomares, J., & Roig, R. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.03.018 · Cited by 256
Hourcade, J. P., Bullock-Rest, N. E., & Hansen, T. E. (2012) · Personal and Ubiquitous Computing · doi:10.1007/s00779-011-0383-3 · Cited by 240
Escobedo, L., Nguyen, D. H., Boyd, L., Hirano, S., Rangel, A., Garcia-Rosas, D., Tentori, M., & Hayes, G. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/2207676.2208649 · Cited by 202
Cited by
RAISE: Robotics & AI to improve STEM and social skills for elementary school students
Hughes, C. E., Dieker, L. A., Glavey, E. M., Hines, R. A., Wilkins, I., Ingraham, K., Bukaty, C. A., Ali, K., Shah, S., Murphy, J., et al. (2022) · Frontiers in Virtual Reality · doi:10.3389/frvir.2022.968312 · Cited by 47
Rethinking Productivity with GenAI: A Neurodivergent Students' Perspective
Jamshed, H., Naseem, M., Potluri, V., & Brewer, R. N. (2025) · Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3663547.3746329 · Cited by 5
“Existing research uses technology to assist with skills like learning new concepts (e.g., mathematics or programming) or communicating in social settings [24, 42, 78].”
Metadata
- Authors
- Valencia, K., Rusu, C., Quiñones, D., & Jamet, E.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2019-10-16
- Volume
- 19
- Issue
- 20
- Pages
- 4485
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2980537173
- Cited by
- 281
- References
- 71
- FWCI
- 2.79
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Impact of Technology on People with Autism Spectrum Disorder: A Systematic Literature Review. https://app.cochat.ai/papers/10.3390/s19204485
- The paper
- Valencia, K., Rusu, C., Quiñones, D., & Jamet, E. (2019). The Impact of Technology on People with Autism Spectrum Disorder: A Systematic Literature Review. Sensors. https://doi.org/10.3390/s19204485
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
