Skip to main content
Log in

The dark sides of AI personal assistant: effects of service failure on user continuance intention

  • Research Paper
  • Published:
Electronic Markets Aims and scope Submit manuscript

Abstract

With the popularization of smart devices and the rapid development of smart voice technology, AI personal assistants (AIPAs) have penetrated deeply into users' lives. Compared with previous years, the accuracy, semantic understanding ability, and wake-up ability of AIPAs have been improved, but the lack of service maturity and the insufficient degree of scene integration have brought users a poor human–computer interaction experience. However, studies have scarcely uncovered the underlying mechanism through which those dark sides of AIPAs exert impacts on users' continuance intention. From the perspective of technostress, the current study proposes a theoretical model for consumers to cope with service failure pressure sources. This article collected 413 questionnaires and conducted an empirical analysis. Results show that negative technical characteristics will affect consumers’ psychological responses and ultimately affect consumers’ technical exhaustion, satisfaction, and two kinds of continuance intentions (general and partial continuance intentions) through cognitive load. Findings open up new avenues for research by exploring the mechanism of how the service failures of these AIPAs affect consumers' continuance intention through the perspective of technostress.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

Download references

Acknowledgements

This study was supported by grants from the National Natural Science Foundation of China (NSFC) (71802126), and a grant from the Shanghai Pujiang Program (18PJC060).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lingling Yu.

Ethics declarations

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Additional information

Responsible Editor: Jian Mou

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 40 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sun, Y., Li, S. & Yu, L. The dark sides of AI personal assistant: effects of service failure on user continuance intention. Electron Markets 32, 17–39 (2022). https://doi.org/10.1007/s12525-021-00483-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12525-021-00483-2

Keywords

JEL

Navigation