Full metadata record

DC Field Value Language
dc.contributor.authorKim, Hanseob-
dc.contributor.authorHan, Bin-
dc.contributor.authorKim, Jieun-
dc.contributor.authorSyawaludin, Muhammad Firdaus-
dc.contributor.authorKim, Gerard Jounghyun-
dc.contributor.authorHwang, Jae-In-
dc.date.accessioned2024-10-10T08:00:45Z-
dc.date.available2024-10-10T08:00:45Z-
dc.date.created2024-10-10-
dc.date.issued2024-05-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/150787-
dc.description.abstractThis study investigates how different virtual agent (VA) behaviors influence subjects' perceptions and group decision-making. Participants carried out experimental group discussions with a VA exhibiting varying levels of engagement and affective behavior. Engagement refers to the VA's focus on the group task, whereas affective behavior reflects the VA's emotional state. The findings revealed that VA's engagements effectively captured participants' attention even in the group setting and enhanced group synergy, thereby facilitating more in-depth discussion and producing better consensus. On the other hand, VA's affective behavior negatively affected the perceived social presence and trustworthiness. Consequently, in the context of group discussion, participants preferred the engaged and non-affective VA to the non-engaged and affective VA. The study provides valuable insights for improving the VA's behavioral design as a team member for collaborative tasks.-
dc.languageEnglish-
dc.publisherASSOC COMPUTING MACHINERY-
dc.titleEngaged and Affective Virtual Agents: Their Impact on Social Presence, Trustworthiness, and Decision-Making in the Group Discussion-
dc.typeConference-
dc.identifier.doi10.1145/3613904.3642917-
dc.description.journalClass1-
dc.identifier.bibliographicCitationACM CHI Conference on Human Factors in Computing Sytems (CHI)-
dc.citation.titleACM CHI Conference on Human Factors in Computing Sytems (CHI)-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceHonolulu, HI-
dc.citation.conferenceDate2024-05-11-
dc.relation.isPartOfPROCEEDINGS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS (CHI 2024)-
dc.identifier.wosid001266059704008-
dc.identifier.scopusid2-s2.0-85194818442-
Appears in Collections:
KIST Conference Paper > 2024
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE