首页 /研究 /Spill the Tea
HRI

Spill the Tea

Weslie Khoo, Long-Jing Hsu, Kyrie Jig Amon, Pranav Vijay Chakilam, Wei-Chu Chen, Zachary Kaufman, Agness Lungu, Hiroki Sato, Erin Seliger, Manasi Swaminathan, Katherine M. Tsui, David Crandall, Selma Šabanović

发表年份
2023
引用次数
32

摘要

Robots could support older adults' well-being by engaging them in meaningful conversations, specifically to reflect on, support, and improve different aspects of their well-being. We implemented a system on a QT social robot to conduct short autonomous conversations with older adults, to help understand what brings them feelings of joy and meaning in life. We evaluated the system with written surveys and observations of 12 participants including older adults, caregivers, and dementia care staff. From this, we saw the need to improve user experience through personalized interaction that better support older adults as they talk about well-being. Improving the interactions will involve improving the conversation flow, detecting emotions and nonverbal cues, and natural language processing to extract topics around well-being.

关键词

ConversationFeelingMeaning (existential)PsychologyRobotDementiaComputer scienceApplied psychologyNatural (archaeology)Human–computer interaction

相关论文

查看 HRI 分类全部论文