BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20251016T135150Z
LOCATION:Grand B
DTSTART;TZID=America/Chicago:20251014T113000
DTEND;TZID=America/Chicago:20251014T115000
UID:HFESAM_ASPIRE 2025_sess204_LECT253@linklings.com
SUMMARY:Effect of AI Benevolence on Humans' Trust and Use of an AI Assista
 nt in a Video Game
DESCRIPTION:Hecun Liu (Rice University, Purdue University); Thomas Redick 
 and Robert Proctor (Purdue University); Ashley Warren (Rice University, Pu
 rdue University); Shangjia Xu (Carnegie Mellon University); and Shengyang 
 Wu (Purdue University)\n\nAs artificial intelligence (AI) systems become i
 ncreasingly integrated into daily life—from virtual assistants to healthca
 re technologies—public trust remains a major obstacle for adoption. Previo
 us studies have primarily focused on how the ability and integrity (transp
 arency) of AI affect people’s trust and usage intention. However, few stud
 ies have explored the role of benevolence.\n\nThis study investigates how 
 the perceived benevolence of AI assistants influences users’ trust and wil
 lingness to interact with them. Through an interactive video game, partici
 pants interacted with either a benevolent AI assistant (prioritizing user 
 safety and well-being) or a non-benevolent AI assistant (prioritizing its 
 own goals). The AI assistant communicated with the subjects by using text 
 boxes. After completing the task, participants completed a questionnaire t
 hat included topics about trust, perceived benevolence, and willingness to
  use. The results from two experiments showed that the benevolent AI assis
 tant significantly enhanced perceived trust and increased users’ willingne
 ss to cooperate with the AI assistant in future interactions.\n\nThis rese
 arch highlights the need for AI to align with users’ social and moral expe
 ctations—especially in emotionally sensitive or high-risk domains such as 
 education, disaster responses, and healthcare—thereby contributing to the 
 advancement of human-AI interaction and teaming.\n\nTrack: Human AI Robot 
 Teaming (AI)\n\nSession Chair: Maya Luster (Purdue University)\n\n
END:VEVENT
END:VCALENDAR
