EconPapers    
Economics at your fingertips  
 

Talking to Voice Assistants: Exploring Negative and Positive Users’ Perceptions

Michela Patrizi, Maria Vernuccio () and Alberto Pastore
Additional contact information
Maria Vernuccio: Sapienza University of Rome

A chapter in Advances in Digital Marketing and eCommerce, 2021, pp 24-34 from Springer

Abstract: Abstract The widespread use of voice assistants (VAs), which collect and process a huge volume of user data through user interactions, is beginning to attract the attention of marketing researchers. The early studies investigating consumers' negative (i.e., risk) and positive (i.e., benefits) perceptions related to users-VAs interactions appear partial and fragmented. Consequently, this paper aims at exploring the key perceptual factors of risk and benefits of interactions with VAs on smartphones. Then, we propose to profile Generation Y users according to their perceptions and analyse whether they are significantly different in terms of frequency of VA use, VA attitude, VA familiarity, innovativeness and age. By adopting a quantitative exploratory approach, 349 questionnaires are collected and validated. By running an exploratory factor analysis, a three-factor solution is outlined. Besides, the non-hierarchical k-means cluster analysis highlights three Generation Y user clusters. This research contributes to the nascent strand of studies on user perceptions related to interactions with VAs, by offering an overall view of perceived risk and benefits. Finally, we propose to marketers strategic guidelines in terms of targeting and marketing communication design.

Keywords: Voice assistant; Personal data collection risk; Personal data misuse risk; Benefits (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-76520-0_3

Ordering information: This item can be ordered from
http://www.springer.com/9783030765200

DOI: 10.1007/978-3-030-76520-0_3

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:prbchp:978-3-030-76520-0_3