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:20251016T135126Z
LOCATION:Grand Hall M/N
DTSTART;TZID=America/Chicago:20251014T150000
DTEND;TZID=America/Chicago:20251014T152000
UID:HFESAM_ASPIRE 2025_sess299_LECT179@linklings.com
SUMMARY:Perceived Failure Severity of Domestic Robots: Sentiment Analysis 
 of Robotic Vacuum Reviews
DESCRIPTION:Yisrael Parmet and Tal Oron-Gilad (Ben Gurion University of th
 e Negev)\n\nWe examine how nonexpert users perceive the severity of roboti
 c failures by studying vacuum robots as an exemplar of how domestic robots
  integrate into users’ homes. This work enhances the classification of rob
 ot failures using natural language processing models and statistical analy
 sis. Utilizing a coded dataset of 8,306 online customer reviews of robotic
  vacuum cleaners (Honig et al., 2022), we applied RoBERTa (Liu et al., 201
 9), to assess each review's positivity, negativity, and neutrality. Analys
 es showed that failure category (technical, interaction, and service), rev
 iew length, and star rating impacted the sentiments. The positive sentimen
 t score decreased as the number of complaints in the review increased. Fur
 ther, the presence of a failure event reduced the positive sentiment score
 . The impact of technical problems was the greatest. We discuss how sentim
 ent analysis contributes to the understanding of perceived robot failure s
 everity considering the robot’s role and interactivity.\n\nTrack: User Exp
 erience\n\nMini-Conferences: UX Mini-Conference\n\nSession Chair: Sakshi  
 Taori (Virginia Tech Polytechnic Institute and State University)\n\n
END:VEVENT
END:VCALENDAR