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The Influence of Task and Group Disparities over Users’ Attitudes Toward Using Large Language Models for Psychotherapy
DescriptionRecently, the population suffering from mental health disorders has kept increasing. As advancements in large language models (LLMs) facilitated their application in diverse fields, LLM-based psychotherapy attracted more attention. However, the factors influencing users' attitudes to LLM-based psychotherapy have rarely been explored. As the first attempt, this paper investigated the influence of task and group disparities on user attitudes toward LLM-based psychotherapy tools. Utilizing the Technology Acceptance Model (TAM) and Automation Acceptance Model (AAM), based on an online survey, we collected and analyzed responses from 222 LLM-based psychotherapy users in mainland China. The results revealed that group disparity (i.e., mental health conditions) can influence users’ attitudes toward automation tools. Further, the task disparity, i.e., the privacy concern we explored in our study, is not found to have a significant effect on trust and usage intention. These findings should be considered when designing future LLM-based psychotherapy services.
Event Type
Lecture
TimeThursday, September 12th10:14am - 10:43am MST
LocationFLW Salon H
Tracks
Usability and System Evaluation
Topics
DEI