The advanced artificial intelligence (AI) technologies provide autonomy features that allow smart voice assistants (SVAs) to perform various daily tasks without human intervention. Due to the invasive attributes of autonomy, SVAs can produce stressful situations in the process of human-AI interaction. However, it can easily be ignored by the previous technostress research. Drawing the relationship development perspective, we identify two relationship-related stress associated with overdependence and intrusiveness caused by autonomy features and investigate the moderating effects of SVAs’ adaptivity on them. Based on coping theory, this study proposes that users could adopt an emotion-focused coping response – distress venting to SVAs and a problem-focused coping response – control over delegation, to help them deal with stressful situations. A two-wave panel survey was conducted, and most hypotheses were supported. The current study increases the understanding of technostress in the personal use of AI context.
Zhang, Fengjiao; Pan, Zhao; Lu, Yaobin; and Hu, Qian, "The Dark Side of Artificial Autonomy: Formation and Mitigation of AI Technostress in Smart Voice Assistants (SVAs)" (2022). PACIS 2022 Proceedings. 211.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.