Start Date
10-12-2017 12:00 AM
Description
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’s Alexa and Apple’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’ self-disclosure on the relationship between users’ 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.
Recommended Citation
Saffarizadeh, Kambiz; Boodraj, Maheshwar; and Alashoor, Tawfiq M., "Conversational Assistants: Investigating Privacy Concerns, Trust, and Self-Disclosure" (2017). ICIS 2017 Proceedings. 19.
https://aisel.aisnet.org/icis2017/Security/Presentations/19
Conversational Assistants: Investigating Privacy Concerns, Trust, and Self-Disclosure
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’s Alexa and Apple’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’ self-disclosure on the relationship between users’ 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.