Prompto

التفاصيل البيبلوغرافية
العنوان: Prompto
المؤلفون: Shardul Sapkota, Samantha W. T. Chan, Suranga Nanayakkara, Haimo Zhang, Rebecca Mathews
المصدر: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 4:1-23
بيانات النشر: Association for Computing Machinery (ACM), 2020.
سنة النشر: 2020
مصطلحات موضوعية: Forgetting, Computer Networks and Communications, 05 social sciences, 020207 software engineering, Cognition, 02 engineering and technology, Affect (psychology), computer.software_genre, Human-Computer Interaction, Hardware and Architecture, Software deployment, Prospective memory, 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, Dialog system, Psychology, computer, 050107 human factors, Cognitive load, Independent living, Cognitive psychology
الوصف: Prospective memory lapses, which involve forgetting to perform intended actions, affect independent living in older adults. Although memory training using smartphone applications could address them, users are sometimes unaware of available times for training or forget about it, presenting a need for proactive prompts. Existing applications mostly provide time-based prompts and prompts based on users' cognitive contexts remain an under-explored area. We developed Prompto, a conversational memory coach that detects physiological signals to suggest training sessions when users are relaxed and potentially more receptive. Our study with 21 older adults showed that users were more receptive to prompts and memory training under low cognitive load than under high cognitive load. Interviews and an in-the-wild deployment of Prompto indicated that majority of users appreciated the concept, found it helpful and were likely to respond to its prompts. We contribute towards developing technologies with cognitive context-aware prompting based on users' physiological readings.
تدمد: 2474-9567
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::febcfaa466c42aba27f8097aee841569
https://doi.org/10.1145/3432190
رقم الأكسشن: edsair.doi...........febcfaa466c42aba27f8097aee841569
قاعدة البيانات: OpenAIRE