Exploring Potential Application Areas of Artificial Intelligence-Infused System for Engagement Recognition: Insights from Special Education Experts
UbiComp Companion ’24, October 5–9, 2024, Melbourne, VIC, Australia
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
ACM|Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing
2024
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| Online Access: | https://hdl.handle.net/1721.1/157623 |
| _version_ | 1824458147545219072 |
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| author | Kim, Won Seong, Minwoo DelPreto, Joseph Matusik, Wojciech Rus, Daniela Kim, SeungJun |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Kim, Won Seong, Minwoo DelPreto, Joseph Matusik, Wojciech Rus, Daniela Kim, SeungJun |
| author_sort | Kim, Won |
| collection | MIT |
| description | UbiComp Companion ’24, October 5–9, 2024, Melbourne, VIC, Australia |
| first_indexed | 2025-02-19T04:21:16Z |
| format | Article |
| id | mit-1721.1/157623 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2025-02-19T04:21:16Z |
| publishDate | 2024 |
| publisher | ACM|Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing |
| record_format | dspace |
| spelling | mit-1721.1/1576232025-01-07T04:45:50Z Exploring Potential Application Areas of Artificial Intelligence-Infused System for Engagement Recognition: Insights from Special Education Experts Kim, Won Seong, Minwoo DelPreto, Joseph Matusik, Wojciech Rus, Daniela Kim, SeungJun Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science UbiComp Companion ’24, October 5–9, 2024, Melbourne, VIC, Australia Active engagement where children with autism spectrum disorder (ASD) are involved (e.g., educational and social activities) plays a crucial role in enhancing their cognitive, motor, and social development. This offers opportunities to enhance overall development, including learning abilities, physical coordination, and social interactions. Indirect methods, leveraging sensors and artificial intelligence (AI), have exhibited potential for enhancing engagement predictions but have been primarily focused within specific fields, resulting in a gap that leads to limited generalizability of ASD studies. This gap, due to small ASD sample sizes, presents a significant challenge as the annual ASD population increases, highlighting the need for practical and applicable research solutions, especially for general learning. In this work, we conducted expert interviews to explore the potential application areas of AI-infused systems that provide three levels of engagement status for children with ASD, ranging from "not engaged and out of control" to "highly engaged." Interviews with special educators revealed five key application areas for AI-driven engagement recognition: social skills training, stereotyped behavior modification, support for leisure activities, effective tutoring, and independent daily living skills. These findings highlight the potential of adaptive AI interventions in improving educational and daily outcomes, advocating for expanded applications for children with ASD. 2024-11-21T15:40:09Z 2024-11-21T15:40:09Z 2024-10-05 2024-11-01T07:53:00Z Article http://purl.org/eprint/type/ConferencePaper 979-8-4007-1058-2 https://hdl.handle.net/1721.1/157623 Kim, Won, Seong, Minwoo, DelPreto, Joseph, Matusik, Wojciech, Rus, Daniela et al. 2024. "Exploring Potential Application Areas of Artificial Intelligence-Infused System for Engagement Recognition: Insights from Special Education Experts." PUBLISHER_CC en https://doi.org/10.1145/3675094.3678376 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The author(s) application/pdf ACM|Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing Association for Computing Machinery |
| spellingShingle | Kim, Won Seong, Minwoo DelPreto, Joseph Matusik, Wojciech Rus, Daniela Kim, SeungJun Exploring Potential Application Areas of Artificial Intelligence-Infused System for Engagement Recognition: Insights from Special Education Experts |
| title | Exploring Potential Application Areas of Artificial Intelligence-Infused System for Engagement Recognition: Insights from Special Education Experts |
| title_full | Exploring Potential Application Areas of Artificial Intelligence-Infused System for Engagement Recognition: Insights from Special Education Experts |
| title_fullStr | Exploring Potential Application Areas of Artificial Intelligence-Infused System for Engagement Recognition: Insights from Special Education Experts |
| title_full_unstemmed | Exploring Potential Application Areas of Artificial Intelligence-Infused System for Engagement Recognition: Insights from Special Education Experts |
| title_short | Exploring Potential Application Areas of Artificial Intelligence-Infused System for Engagement Recognition: Insights from Special Education Experts |
| title_sort | exploring potential application areas of artificial intelligence infused system for engagement recognition insights from special education experts |
| url | https://hdl.handle.net/1721.1/157623 |
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