Related Experiment Video
Updated: May 15, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
Published on: August 9, 2024
A study on innovation resistance of artificial intelligence voice assistants based on privacy infringement and risk
Shanshan Liu1, Yongseok Cheon2, Jong-Yoon Lee3
1School of Communication, Nanyang Institute of Technology, Nanyang, Henan, China.
Abstract:
As a vital tool for human-computer interaction, artificial intelligence (AI) voice assistants have become an integral part of individuals' everyday routines. However, there are still a series of problems caused by privacy violations in current use. This research aims to explore users' risk perceptions and innovation resistance arising from privacy concerns when utilizing AI voice assistants. Descriptive statistics and correlation analysis were conducted using SPSS21.0 software to examine each variable. The mediating and moderating effects were analyzed through specific models provided by PROCESS. The findings of this research indicate that perceptions of risk serve as a mediator in the relationship between privacy violations and resistance to innovation. This elucidates the indirect pathway through which privacy concerns impact opposition to new technologies. Furthermore, the study reveals that anthropomorphism and informativeness can mitigate the perceived risks associated with AI voice assistants, consequently reducing resistance to innovation. By focusing on user psychology, this study offers valuable insights for the development and enhancement of AI voice assistants, underscoring the importance of addressing user concerns regarding privacy and risk.
More Related Videos
06:02Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
Published on: October 6, 2020
07:34Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
Published on: June 3, 2013
Related Concept Videos
Stereotype Content Model
The Availability Heuristic
Stereotype Threat and Self-fulfilling Prophecies
Ethics and Bioethics
Social Proof
Obedience