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Understanding the Impact of Long-Term Memory on Self-Disclo..:
, In:
Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
,
Jo, Eunkyung
;
Jeong, Yuin
;
Park, Sohyun
.. - p. 1-21 , 2024
Link:
https://dl.acm.org/doi/10.1145/3613904.3642420
RT T1 <cTitle>Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems</cTitle>: T1 <Title>Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3642420&Exemplar=1&LAN=DE A1 Jo, Eunkyung A1 Jeong, Yuin A1 Park, Sohyun A1 Epstein, Daniel A. A1 Kim, Young-Ho PB ACM YR 2024 K1 Chatbot K1 Check-up calls K1 Large language models K1 Long-term memory K1 Open-domain dialog systems K1 Public health K1 Social isolation K1 Human-centered computing K1 Human computer interaction (HCI) K1 Empirical studies in HCI K1 Interaction paradigms K1 Natural language interfaces K1 Computing methodologies K1 Artificial intelligence K1 Natural language processing K1 Natural language generation SP 1 OP 21 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3613904.3642420 DO https://dl.acm.org/doi/10.1145/3613904.3642420 SF ELIB - SuUB Bremen
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