Do Privacy Concerns About Social Robots Affect Use Intentions? Evidence From an Experimental Vignette Study

Bibliographic Details
Title: Do Privacy Concerns About Social Robots Affect Use Intentions? Evidence From an Experimental Vignette Study
Authors: Christoph Lutz, Aurelia Tamò-Larrieux
Source: Frontiers in Robotics and AI, Vol 8 (2021)
Publisher Information: Frontiers Media S.A., 2021.
Publication Year: 2021
Collection: LCC:Mechanical engineering and machinery
LCC:Electronic computers. Computer science
Subject Terms: social robots, privacy, trust, social influence, privacy paradox, survey, Mechanical engineering and machinery, TJ1-1570, Electronic computers. Computer science, QA75.5-76.95
More Details: While the privacy implications of social robots have been increasingly discussed and privacy-sensitive robotics is becoming a research field within human–robot interaction, little empirical research has investigated privacy concerns about robots and the effect they have on behavioral intentions. To address this gap, we present the results of an experimental vignette study that includes antecedents from the privacy, robotics, technology adoption, and trust literature. Using linear regression analysis, with the privacy-invasiveness of a fictional but realistic robot as the key manipulation, we show that privacy concerns affect use intention significantly and negatively. Compared with earlier work done through a survey, where we found a robot privacy paradox, the experimental vignette approach allows for a more realistic and tangible assessment of respondents' concerns and behavioral intentions, showing how potential robot users take into account privacy as consideration for future behavior. We contextualize our findings within broader debates on privacy and data protection with smart technologies.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2296-9144
Relation: https://www.frontiersin.org/articles/10.3389/frobt.2021.627958/full; https://doaj.org/toc/2296-9144
DOI: 10.3389/frobt.2021.627958
Access URL: https://doaj.org/article/392d9e287f2d47a4b409b1fd06feb63e
Accession Number: edsdoj.392d9e287f2d47a4b409b1fd06feb63e
Database: Directory of Open Access Journals
More Details
ISSN:22969144
DOI:10.3389/frobt.2021.627958
Published in:Frontiers in Robotics and AI
Language:English