TY - CHAP
T1 - Explanation patterns for the Sleep Adherence Mentor (SAM)
AU - Abdulrahman, Amal
AU - Richards, Deborah
AU - Caldwell, Patrina
AU - Waters, Karen
PY - 2024
Y1 - 2024
N2 - Sleep disorders impact more than 13% of Australian children. To provide timely advice to paediatric patients and their families, we have created a website that triages patients on the specialist waiting list to provide tailored recommended treatments. To enhance adherence, the child and their family can discuss the recommendations with the Sleep Adherence Mentor (SAM) for each treatment. Recommended treatments may include sleep diary, sleep hygiene, settling routine, caffeine, snoring, and night terrors. To personalise the discussions, the dialogues use explanation patterns where the explainable virtual agent first elicits the beliefs that act as barriers to following the treatment, the goals that are driving their behaviours and the user’s information to better understanding the user context. SAM is implemented using the UNITY 3D game engine which is integrated in an authoring tool developed in our lab. Interacting with SAM is only available through the eADVICE website. We have initial feedback on the conversations and have obtained ethics approval for a pilot with 50 paediatric patients at The Children’s Hospital at Westmead, Sydney - Australia.
AB - Sleep disorders impact more than 13% of Australian children. To provide timely advice to paediatric patients and their families, we have created a website that triages patients on the specialist waiting list to provide tailored recommended treatments. To enhance adherence, the child and their family can discuss the recommendations with the Sleep Adherence Mentor (SAM) for each treatment. Recommended treatments may include sleep diary, sleep hygiene, settling routine, caffeine, snoring, and night terrors. To personalise the discussions, the dialogues use explanation patterns where the explainable virtual agent first elicits the beliefs that act as barriers to following the treatment, the goals that are driving their behaviours and the user’s information to better understanding the user context. SAM is implemented using the UNITY 3D game engine which is integrated in an authoring tool developed in our lab. Interacting with SAM is only available through the eADVICE website. We have initial feedback on the conversations and have obtained ethics approval for a pilot with 50 paediatric patients at The Children’s Hospital at Westmead, Sydney - Australia.
KW - Explanation patterns
KW - Explainable virtual advisor
KW - Behaviour change
KW - Pediatric sleep disorders
UR - http://www.scopus.com/inward/record.url?scp=85199581354&partnerID=8YFLogxK
M3 - Chapter
AN - SCOPUS:85199581354
T3 - CEUR Workshop Proceedings
SP - 21
EP - 36
BT - The adjunct proceedings of the 19th International Conference on Persuasive Technology, April 10, 2024, Wollongong, Australia
A2 - Oyibo, Kiemute
A2 - Xu, Wenzhen
A2 - Vlahu-Gjorgievska, Elena
PB - RWTH Aachen University
CY - Online
T2 - 19th International Conference on Persuasive Technology, PERSUASIVE 2024
Y2 - 10 April 2024 through 12 April 2024
ER -