Social acceptability in HCI: a survey of methods, measures, and design strategies

Marion Koelle, Swamy Ananthanarayan, Susanne Boll

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 2020 CHI Conference on Human Factors in Computing Systems
EditorsJoanna McGrenere, Andy Cockburn
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages19
ISBN (Electronic)9781450367080
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventInternational Conference on Human Factors in Computing Systems 2020 - Honolulu , United States of America
Duration: 25 Apr 202030 Apr 2020
Conference number: 38th
https://chi2020.acm.org (Website)
https://dl.acm.org/doi/proceedings/10.1145/3313831 (Proceedings)

Conference

ConferenceInternational Conference on Human Factors in Computing Systems 2020
Abbreviated titleCHI 2020
CountryUnited States of America
CityHonolulu
Period25/04/2030/04/20
Internet address

Keywords

  • research methods
  • social acceptability
  • literature analysis

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