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.
Original language | English |
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Title of host publication | MuC '20: Proceedings of the Conference on Mensch und Computer |
Number of pages | 4 |
Publisher | ACM |
Publication date | 06.09.2020 |
Pages | 383-386 |
Article number | 3410020 |
ISBN (Print) | 978-1-4503-7540-5 |
DOIs | |
Publication status | Published - 06.09.2020 |
Event | Mensch und Computer - University of Magdeburg - Virtual - , Magdeburg, Germany Duration: 06.09.2020 → 09.09.2020 Conference number: 162854 |
Research Areas and Centers
- Centers: Center for Artificial Intelligence Luebeck (ZKIL)
DFG Research Classification Scheme
- 111-03 Communication Studies
- 409-05 Interactive and Intelligent Systems, Image and Language Processing, Computer Graphics and Visualisation
- 409-06 Information Systems, Process and Knowledge Management