TY - GEN
T1 - Design with Caregivers
T2 - 16th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2022 Held as Part of the 24th HCI International Conference, HCII 2022
AU - Zhang, Han
AU - Sun, Xu
AU - Yao, Cheng
AU - Zhang, Yanhui
AU - Wang, Qingfeng
AU - Lei, Ning
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Children with Down Syndrome face major challenges in maintaining active social interaction. HCI research has well explored the design of computer-aided systems to support education for teachers and therapists, but comparatively less work has been considered in the case of social behavior learning for Down Syndrome children and their caregivers. Many challenging behaviors originate from misunderstanding DS children’s emotions, body language, and verbal expressions. To better investigate the barriers to maintaining active social interaction for DS children and their caregivers, we conducted a social activity with an organization providing therapeutic treatment for DS children. Situated in a co-designed drama rehearsal activity for acting, storytelling, and socializing, our field observations and semi-structured interviews with family caregivers, therapists, and volunteers have illustrated certain behavior characteristics of DS children that may hinder communication and understanding with their caregivers. Based on this field study, we are contributing a nuanced understanding of the behavior issues of DS children during social interactions. Furthermore, we are proposing a collaborative partnership model to engage both non-professional and professional caregivers in developing a safe, effective, flexible, caring mode to allow DS children to be more self-independent in broader social contexts. Finally, we have brought forward the suggestion that the visual analytics technique can be used as a novel mediated form of assistive technology to support social behavior learning and personalized intervention.
AB - Children with Down Syndrome face major challenges in maintaining active social interaction. HCI research has well explored the design of computer-aided systems to support education for teachers and therapists, but comparatively less work has been considered in the case of social behavior learning for Down Syndrome children and their caregivers. Many challenging behaviors originate from misunderstanding DS children’s emotions, body language, and verbal expressions. To better investigate the barriers to maintaining active social interaction for DS children and their caregivers, we conducted a social activity with an organization providing therapeutic treatment for DS children. Situated in a co-designed drama rehearsal activity for acting, storytelling, and socializing, our field observations and semi-structured interviews with family caregivers, therapists, and volunteers have illustrated certain behavior characteristics of DS children that may hinder communication and understanding with their caregivers. Based on this field study, we are contributing a nuanced understanding of the behavior issues of DS children during social interactions. Furthermore, we are proposing a collaborative partnership model to engage both non-professional and professional caregivers in developing a safe, effective, flexible, caring mode to allow DS children to be more self-independent in broader social contexts. Finally, we have brought forward the suggestion that the visual analytics technique can be used as a novel mediated form of assistive technology to support social behavior learning and personalized intervention.
KW - Design with caregivers
KW - Down syndrome children
KW - Social behavior learning
KW - Visual analytics
UR - http://www.scopus.com/inward/record.url?scp=85133531105&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-05039-8_32
DO - 10.1007/978-3-031-05039-8_32
M3 - Conference contribution
AN - SCOPUS:85133531105
SN - 9783031050381
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 442
EP - 452
BT - Universal Access in Human-Computer Interaction. User and Context Diversity - 16th International Conference, UAHCI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings
A2 - Antona, Margherita
A2 - Stephanidis, Constantine
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 26 June 2022 through 1 July 2022
ER -