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.
| Originalsprache | Englisch |
|---|---|
| Titel | HCI International 2017 -- Posters' Extended Abstracts |
| Redakteure/-innen | Constantine Stephanidis |
| Seitenumfang | 11 |
| Band | 713 |
| Erscheinungsort | Cham |
| Herausgeber (Verlag) | Springer International Publishing |
| Erscheinungsdatum | 13.05.2017 |
| Seiten | 19-29 |
| ISBN (Print) | 978-3-319-58749-3 |
| ISBN (elektronisch) | 978-3-319-58750-9 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 13.05.2017 |
| Veranstaltung | 19th International Conference on Human-Computer Interaction - Vancouver Convention Centre , Vancouver, Kanada Dauer: 09.07.2017 → 14.07.2017 http://2017.hci.international/ |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gesundheit und Wohlergehen
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SDG 7 – Erschwingliche und saubere Energie
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