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

Daniel Wessel; Thomas Franke; Christiane Attig

doi:10.1007/978-3-319-58750-9_3

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

Daniel Wessel, Thomas Franke, Christiane Attig

Institute of Multimedia and Interactive Systems

Chemnitz University of Technology

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.

Original language	English
Title of host publication	HCI International 2017 -- Posters' Extended Abstracts
Editors	Constantine Stephanidis
Number of pages	11
Volume	713
Place of Publication	Cham
Publisher	Springer International Publishing
Publication date	13.05.2017
Pages	19-29
ISBN (Print)	978-3-319-58749-3
ISBN (Electronic)	978-3-319-58750-9
DOIs	https://doi.org/10.1007/978-3-319-58750-9_3
Publication status	Published - 13.05.2017
Event	19th International Conference on Human-Computer Interaction - Vancouver Convention Centre , Vancouver, Canada Duration: 09.07.2017 → 14.07.2017 http://2017.hci.international/

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10.1007/978-3-319-58750-9_3

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Wessel, D., Franke, T., & Attig, C. (2017). Assessing Personality Differences in Human-Technology Interaction: An Overview of Key Self-report Scales to Predict Successful Interaction. In C. Stephanidis (Ed.), HCI International 2017 -- Posters' Extended Abstracts (Vol. 713, pp. 19-29). ( Communications in Computer and Information Science; Vol. 713). Springer International Publishing. https://doi.org/10.1007/978-3-319-58750-9_3

Wessel, Daniel ; Franke, Thomas ; Attig, Christiane. / Assessing Personality Differences in Human-Technology Interaction: An Overview of Key Self-report Scales to Predict Successful Interaction. HCI International 2017 -- Posters' Extended Abstracts. editor / Constantine Stephanidis. Vol. 713 Cham : Springer International Publishing, 2017. pp. 19-29 ( Communications in Computer and Information Science).

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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.",

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Wessel, D , Franke, T & Attig, C 2017, Assessing Personality Differences in Human-Technology Interaction: An Overview of Key Self-report Scales to Predict Successful Interaction. in C Stephanidis (ed.), HCI International 2017 -- Posters' Extended Abstracts. vol. 713, Communications in Computer and Information Science, vol. 713, Springer International Publishing, Cham, pp. 19-29, 19th International Conference on Human-Computer Interaction, Vancouver, British Columbia, Canada, 09.07.17. https://doi.org/10.1007/978-3-319-58750-9_3

Assessing Personality Differences in Human-Technology Interaction: An Overview of Key Self-report Scales to Predict Successful Interaction. / Wessel, Daniel ; Franke, Thomas; Attig, Christiane.
HCI International 2017 -- Posters' Extended Abstracts. ed. / Constantine Stephanidis. Vol. 713 Cham: Springer International Publishing, 2017. p. 19-29 ( Communications in Computer and Information Science; Vol. 713).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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Wessel D , Franke T, Attig C. Assessing Personality Differences in Human-Technology Interaction: An Overview of Key Self-report Scales to Predict Successful Interaction. In Stephanidis C, editor, HCI International 2017 -- Posters' Extended Abstracts. Vol. 713. Cham: Springer International Publishing. 2017. p. 19-29. ( Communications in Computer and Information Science). doi: 10.1007/978-3-319-58750-9_3

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

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