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PRODID:Linklings LLC
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TZID:America/Phoenix
X-LIC-LOCATION:America/Phoenix
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TZOFFSETFROM:-0700
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19700101T000000
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BEGIN:VEVENT
DTSTAMP:20241014T203102Z
LOCATION:FLW Salon H
DTSTART;TZID=America/Phoenix:20240912T101400
DTEND;TZID=America/Phoenix:20240912T104300
UID:HFESAM_ASPIRE - Presented by HFES_sess230_LECT288@linklings.com
SUMMARY:The Influence of Task and Group Disparities over Users’ Attitudes 
 Toward Using Large Language Models for Psychotherapy
DESCRIPTION:Lecture\n\nQihang He (Sichuan University) and Jiyao Wang and D
 engbo He (The Hong Kong University of Science and Technology (Guangzhou))\
 n\nRecently, the population suffering from mental health disorders has kep
 t increasing. As advancements in large language models (LLMs) facilitated 
 their application in diverse fields, LLM-based psychotherapy attracted mor
 e attention. However, the factors influencing users' attitudes to LLM-base
 d psychotherapy have rarely been explored. As the first attempt, this pape
 r investigated the influence of task and group disparities on user attitud
 es toward LLM-based psychotherapy tools. Utilizing the Technology Acceptan
 ce Model (TAM) and Automation Acceptance Model (AAM), based on an online s
 urvey, we collected and analyzed responses from 222 LLM-based psychotherap
 y users in mainland China. The results revealed that group disparity (i.e.
 , mental health conditions) can influence users’ attitudes toward automati
 on tools. Further, the task disparity, i.e., the privacy concern we explor
 ed in our study, is not found to have a significant effect on trust and us
 age intention.  These findings should be considered when designing future 
 LLM-based psychotherapy services.\n\nTrack: Usability and System Evaluatio
 n\n\nTopics: DEI\n\nSession Chair: Judi See (Sandia National Laboratories)
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