Please use this identifier to cite or link to this item: doi:10.22028/D291-30543
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Title: Social Acceptability in HCI: A Survey of Methods, Measures, and Design Strategies
Author(s): Koelle, Marion Daniela
Ananthanarayan, Swamy
Boll, Susanne
Language: English
Title: CHI'20 : Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Startpage: 1
Endpage: 19
Publisher/Platform: ACM
Year of Publication: 2020
Place of publication: New York
Title of the Conference: CHI '20: CHI Conference on Human Factors in Computing Systems
Place of the conference: Honolulu, Hawaii, USA
Publikation type: Conference Paper
Abstract: With the increasing ubiquity of personal devices, social acceptability of human-machine interactions has gained relevance and growing interest from the HCI community. Yet, there are no best practices or established methods for evaluating social acceptability. Design strategies for increasing social acceptability have been described and employed, but so far not been holistically appraised and evaluated. We offer a systematic literature analysis (N=69) of social acceptability in HCI and contribute a better understanding of current research practices, namely, methods employed, measures and design strategies. Our review identified an unbalanced distribution of study approaches, shortcomings in employed measures, and a lack of interweaving between empirical and artifact-creating approaches. The latter causes a discrepancy between design recommendations based on user research, and design strategies employed in artifact creation. Our survey lays the groundwork for a more nuanced evaluation of social acceptability, the development of best practices, and a future research agenda.
DOI of the first publication: 10.1145/3313831.3376162
URL of the first publication: https://dl.acm.org/doi/abs/10.1145/3313831.3376162
Link to this record: hdl:20.500.11880/29650
http://dx.doi.org/10.22028/D291-30543
ISBN: 978-1-4503-6708-0
Date of registration: 9-Sep-2020
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Jürgen Steimle
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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