Assessing Personality Differences in Human-Technology Interaction: An Overview of Key Self-report Scales to Predict Successful Interaction

Daniel Wessel, Thomas Franke, Christiane Attig

Abstract

For a comprehensive understanding of user diversity, a reliable and valid assessment of stable user characteristics is essential. In the field of human-technology interaction, a plethora of personality-related constructs linked to the experience of and interaction with technical systems has been discussed. A key question for researchers in the field is thus: Which are the key personality concepts and scales for characterizing inter-individual differences in user technology interaction? Based on a literature review and citation analysis, a structured overview of frequently used technology-related personality constructs and corresponding self-report scales is provided. Changes in the popularity and content of scales and concepts that occured over time as well as overlap between constructs and scales are discussed to facilitate scale selection.
OriginalspracheEnglisch
TitelHCI International 2017 -- Posters' Extended Abstracts
Redakteure/-innenConstantine Stephanidis
Seitenumfang11
Band713
ErscheinungsortCham
Herausgeber (Verlag)Springer International Publishing
Erscheinungsdatum13.05.2017
Seiten19-29
ISBN (Print)978-3-319-58749-3
ISBN (elektronisch)978-3-319-58750-9
DOIs
PublikationsstatusVeröffentlicht - 13.05.2017
Veranstaltung19th International Conference on Human-Computer Interaction - Vancouver Convention Centre , Vancouver, Kanada
Dauer: 09.07.201714.07.2017
http://2017.hci.international/

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