Affiliation:
1. Department Management, Communication & IT, MCI | The Entrepreneurial School, 6020 Innsbruck, Austria
Abstract
Throughout the last years, Intelligent Virtual Assistants (IVAs), such as Alexa and Siri, have increasingly gained in popularity. Yet, privacy advocates raise great concerns regarding the amount and type of data these systems collect and consequently process. Among many other things, it is technology trust which seems to be of high significance here, particularly when it comes to the adoption of IVAs, for they usually provide little transparency as to how they function and use personal and potentially sensitive data. While technology trust is influenced by many different socio-technical parameters, this article focuses on human personality and its connection to respective trust perceptions, which in turn may further impact the actual adoption of IVA products. To this end, we report on the results of an online survey (n=367). Findings show that on a scale from 0 to 100%, people trust IVAs 51.59% on average. Furthermore, the data point to a significant positive correlation between people’s propensity to trust in general technology and their trust in IVAs. Yet, they also show that those who exhibit a higher propensity to trust in technology tend to also have a higher affinity for technology interaction and are consequently more likely to adopt IVAs.
Subject
Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Neuroscience (miscellaneous)
Reference72 articles.
1. Statista, G. (2022, September 30). Anzahl der Nutzer Virtueller Digitaler Assistenten Weltweit in den Jahren von 2015 bis 2021. Available online: https://de.statista.com/statistik/daten/studie/620321/umfrage/nutzung-von-virtuellen-digitalen-assistenten-weltweit/.
2. Attig, C., Wessel, D., and Franke, T. (2017, January 9–14). Assessing personality differences in human-technology interaction: An overview of key self-report scales to predict successful interaction. Proceedings of the International Conference on Human-Computer Interaction, Vancouver, BC, Canada.
3. Gray, S. (2016, January 25). Always on: Privacy implications of microphone-enabled devices. Proceedings of the Future of Privacy Forum, Washington, DC, USA.
4. Campagna, G., Ramesh, R., Xu, S., Fischer, M., and Lam, M.S. (2017, January 3–7). Almond: The architecture of an open, crowdsourced, privacy-preserving, programmable virtual assistant. Proceedings of the 26th International Conference on World Wide Web, Perth, Australia.
5. Glass, A., McGuinness, D.L., and Wolverton, M. (2008, January 13–16). Toward establishing trust in adaptive agents. Proceedings of the 13th International Conference on Intelligent User Interfaces, Canaria, Spain.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献