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  4. Are You Trying to Be Funny? The Impact of Affiliative Humor of Smart Home Technologies on Human-Like Trust
 

Are You Trying to Be Funny? The Impact of Affiliative Humor of Smart Home Technologies on Human-Like Trust

URI
https://arbor.bfh.ch/handle/arbor/35133
Version
Published
Date Issued
2022-12-14
Author(s)
Tereschenko, Olga
Raff, Stefan  
Rose, Stefan  
Wentzel, Daniel
Type
Conference Paper
Language
English
Subjects

Smart home technology...

smart product

virtual assistant

human -like trust

Abstract
Smart home technologies (SHTs) perform tasks in the most intimate areas of life and therefore require blind user trust from the start. To build this trust, vendors often rely on creating human-like interactions with devices, such as by incorporating humor. Although humor in SHTs is becoming more advanced, e.g., through advanced joke selection algorithms, its actual impact is largely unexplored. In this work, we address this gap and study the impact of affiliative humor as a human-like characteristic on perceived social presence and initial trust in SHTs. To this end, we conducted a vignette-based experiment with potential users (N=63). Our results contribute by uncovering the mechanisms underlying humor as a trust-building characteristic in SHTs. Moreover, in this way, we also provide important insights for the design and communication of SHTs, which can be valuable for vendors to foster perceived human-likeness and thus initial user trust in smart technologies.
Subjects
H Social Sciences (General)
DOI
10.24451/arbor.17761
https://doi.org/10.24451/arbor.17761
Publisher URL
https://icis2022.aisconferences.org/
Related URL
https://aisel.aisnet.org/icis2022/hci_robot/hci_robot/6 publication
Organization
Institut Marketing & Global Management  
Marketing  
Wirtschaft  
Conference
2022 International Conference on Information Systems
Submitter
RoseS
Citation apa
Tereschenko, O., Raff, S., Rose, S., & Wentzel, D. (2022). Are You Trying to Be Funny? The Impact of Affiliative Humor of Smart Home Technologies on Human-Like Trust. 2022 International Conference on Information Systems. https://doi.org/10.24451/arbor.17761
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