@inproceedings{6cbddf003e444368a4e1b799aef437e8,
title = "Conversational Assistants: Investigating Privacy Concerns, Trust, and Self-Disclosure",
abstract = "By the end of 2017 more than 33 million voice-based devices will be in circulation, many of which will include conversational assistants such as Amazon{\textquoteright}s Alexa and Apple{\textquoteright}s Siri. These devices require a significant amount of personal information from users to learn their preferences and provide them with personalized responses. This creates an interesting and important tension: the more information users disclose, the greater the value they receive from these devices; however, due to concerns for the privacy of personal information, users tend to disclose less information. In this study, we examine the role of reciprocal self-disclosure and trust within the novel and emerging context of conversational assistants. Specifically, we investigate the effect of conversational assistants{\textquoteright} self-disclosure on the relationship between users{\textquoteright} privacy concerns and their self-disclosure. Further, we explore the mechanism through which self-disclosure by conversational assistants influences this relationship, namely, the role of cognitive trust and emotional trust.",
keywords = "Artificial intelligence, Cognitive trust, Conversational assistants, Emotional trust, Information privacy, Privacy concerns, Reciprocity, Self-disclosure",
author = "Kambiz Saffarizadeh and Maheshwar Boodraj and Tawfiq Alashoor",
year = "2018",
language = "English",
isbn = "9780996683159",
series = "ICIS 2017: Transforming Society with Digital Innovation",
publisher = "Association for Information Systems",
booktitle = "ICIS 2017",
address = "United States",
note = "38th International Conference on Information Systems: Transforming Society with Digital Innovation, ICIS 2017 ; Conference date: 10-12-2017 Through 13-12-2017",
}