Artificial Intelligence Is Safer for My Privacy: Interplay Between Types of Personal Information and Agents on Perceived Privacy Risk and Concerns

Jungwon Kim, Yongjun Sung

Research output: Contribution to journalArticlepeer-review

Abstract

The development of novel technologies has increasingly complicated the issue of users' privacy. This study aimed to investigate the impact that the types of information as well as agents have on perceptions of privacy risks and concerns. The results showed that participants perceived privacy risk and were most concerned when they were asked to provide digital life information, followed by being asked for digital footprint information, and even more so when they were asked to provide this information to a human agent instead of an artificial intelligence agent. However, there were no differences in the perception of privacy risks and concerns with respect to self-expression and demographic information. The implications of these findings are also discussed.

Original languageEnglish
Pages (from-to)118-123
Number of pages6
JournalCyberpsychology, Behavior, and Social Networking
Volume25
Issue number2
DOIs
Publication statusPublished - 2022 Feb 1

Bibliographical note

Funding Information:
This work was supported by the Ministry of education of the Republic of Korea and the National Research Foundation of Korea (NRF-2019S1A3A2099973).

Publisher Copyright:
Copyright © 2022 Mary Ann Liebert, Inc.

Keywords

  • agent type
  • artificial intelligence agent
  • personal information type
  • privacy concerns
  • privacy risk
  • untact

ASJC Scopus subject areas

  • Social Psychology
  • Communication
  • Applied Psychology
  • Human-Computer Interaction
  • Computer Science Applications

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