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PRODID:Linklings LLC
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DTSTART:19700101T000000
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BEGIN:VEVENT
DTSTAMP:20241014T203101Z
LOCATION:Grand Ballroom
DTSTART;TZID=America/Phoenix:20240911T115500
DTEND;TZID=America/Phoenix:20240911T121500
UID:HFESAM_ASPIRE - Presented by HFES_sess196_LECT156@linklings.com
SUMMARY:The Effect of Healthcare Chatbots’ Information Presentation Styles
  on User Acceptance in a Knowledge Seeking Task
DESCRIPTION:Lecture\n\nSamuel Koscelny and David Neyens (Clemson Universit
 y)\n\nThe rise of large language models offers new opportunities for disse
 minating more effective and equitable healthcare information. While past r
 esearch has extensively investigated users’ perceptions of chatbots, few h
 ave examined the design strategies for chatbot information presentation. T
 he objective of this research aims to explore how communication style (con
 versational or informative) and language style (technical or non-technical
 ) affect user acceptance and ability performing a knowledge seeking task w
 ith a healthcare chatbot in a 2x2 between-subjects design. Following this,
  participants engaged in semi-structured interviews, where we analyzed par
 ticipants’ experiences through inductive thematic analysis. Our findings i
 ndicate users generally found conversational chatbots to be more understan
 dable with greater perceived interaction freedom than informative chatbots
 . These insights highlight the importance of aligning chatbot communicatio
 n with users’ expectations. Future research should validate these findings
  with larger and more diverse populations, considering the impact of vario
 us chatbot interaction styles on user experience and long-term effectivene
 ss.\n\nTrack: Health Care\n\nSession Chair: Tosin Akintunde (University of
  Toronto)
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