Abstract
Affinity for Technology Interaction (ATI) describes whether a person approaches or avoids interaction with technology [1], making it an important variable in human-centered design. To determine whether ATI will likely remain an important variable in the future, we compared the ATI scores of those who will develop applications (students of media and computer science) with those who will use them in a specific context (students of public administration). We also looked for possible selection biases when conducting online samples regarding technology, by comparing a self-selected online sample of public administration employees with a sample of students of public administration conducted in a classroom, in which no selection biases should have had occurred. To locate the samples in the general population we also compared them with a quota sample of the German population. Results indicate markedly different approaches to technology interaction between the student samples and the online sample being more similar to the media and computer science students. We discuss consequences for the human-centered design process, especially for understanding the users.
| Originalsprache | Englisch |
|---|---|
| Titel | MuC '20: Proceedings of the Conference on Mensch und Computer |
| Seitenumfang | 4 |
| Herausgeber (Verlag) | ACM |
| Erscheinungsdatum | 06.09.2020 |
| Seiten | 383-386 |
| Aufsatznummer | 3410020 |
| ISBN (Print) | 978-1-4503-7540-5 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 06.09.2020 |
| Veranstaltung | Mensch und Computer 2020 - University of Magdeburg - Virtual - , Magdeburg, Deutschland Dauer: 06.09.2020 → 09.09.2020 Konferenznummer: 162854 |
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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SDG 9 – Industrie, Innovation und Infrastruktur
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SDG 11 – Nachhaltige Städte und Gemeinschaften
Strategische Forschungsbereiche und Zentren
- Zentren: Zentrum für Künstliche Intelligenz Lübeck (ZKIL)
DFG-Fachsystematik
- 1.23-03 Publizistik und Kommunikationswissenschaft
- 4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing
- 409-06 Informationssysteme, Prozess- und Wissensmanagement
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