The Benefits and Caveats of Personality-Adaptive Conversational Agents in Mental Health Care Completed Research

被引:0
|
作者
Ahmad, Rangina [1 ]
Siemon, Dominik [2 ]
Gnewuch, Ulrich [3 ]
Robra-Bissantz, Susanne [1 ]
机构
[1] TU Braunschweig, Braunschweig, Germany
[2] LUT Univ, Lappeenranta, Finland
[3] Karlsruhe Inst Technol, Karlsruhe, Germany
来源
DIGITAL INNOVATION AND ENTREPRENEURSHIP (AMCIS 2021) | 2021年
关键词
Conversational Agents; Personality-Adaptive Conversational Agents; Mental Health Care; ELIZA; CUES;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Artificial intelligence (AI) technologies enable conversational agents (CAs) to perform highly complex tasks in a human-like manner. For example, CAs may help people cope with anxiety and thus can improve mental health and well-being. In order to achieve this and support patients in an authentic way, it is needed to imbue CAs with human-like behavior, such as personality. However, with today's powerful AI capabilities, critical voices regarding AI ethics are becoming increasingly loud to carefully consider potential consequences of designing CAs that appear too human-like. Personality adaptive conversational agents (PACAs) that automatically infer users' personality traits and adapt accordingly to their personality, fall into this category and need to be investigated regarding their benefits and caveats in mental health care. The results of our conducted qualitative study show that PACAs can be beneficial for mental health support, however it also raises concerns among participants about trust and privacy issues.
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页数:10
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