TY - GEN
T1 - A Tool to Assess the Attention of Children with Autism Spectrum Disorder (ASD)
T2 - 17th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023
AU - El Houki, Zied
AU - Al Thani, Dena
AU - Banire, Belikis
AU - Qaraqe, Marwa
AU - Aziz, Maryam
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - According to recent studies, good learning implies paying attention, which is crucial for each child, especially for those with autism spectrum disorder (ASD) who are known to usually experience attention deficit. Basically, the attention deficit has caused concerns among stakeholders (teachers and parents) regarding their academic achievements. Due to the importance and relevance of attention in productive and personalized learning, many research have studied the different technologies present nowadays that help to assess the attention. In this work, we present a tool that automatically detect attention for children with ASD when viewing learning materials online. Additionally, the process of developing a user-friendly platform is important. Thus, this paper presents the design, the development, and the evaluation phases of the interface. The latter was done using the Heuristic method of Nielsen and the System Usability Scale (SUS).
AB - According to recent studies, good learning implies paying attention, which is crucial for each child, especially for those with autism spectrum disorder (ASD) who are known to usually experience attention deficit. Basically, the attention deficit has caused concerns among stakeholders (teachers and parents) regarding their academic achievements. Due to the importance and relevance of attention in productive and personalized learning, many research have studied the different technologies present nowadays that help to assess the attention. In this work, we present a tool that automatically detect attention for children with ASD when viewing learning materials online. Additionally, the process of developing a user-friendly platform is important. Thus, this paper presents the design, the development, and the evaluation phases of the interface. The latter was done using the Heuristic method of Nielsen and the System Usability Scale (SUS).
KW - Autism
KW - Autism Spectrum Disorder
KW - Heuristic evaluation
KW - System Usability Scale
KW - Usability
UR - http://www.scopus.com/inward/record.url?scp=85168996535&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-35681-0_37
DO - 10.1007/978-3-031-35681-0_37
M3 - Conference contribution
AN - SCOPUS:85168996535
SN - 9783031356803
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 569
EP - 580
BT - Universal Access in Human-Computer Interaction - 17th International Conference, UAHCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
A2 - Antona, Margherita
A2 - Stephanidis, Constantine
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 23 July 2023 through 28 July 2023
ER -