Affinity for Technology Interaction and Fields of Study - Implications for Human-Centered Design of Applications for Public Administration

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 languageEnglish
Title of host publicationMuC '20: Proceedings of the Conference on Mensch und Computer
Number of pages4
PublisherACM
Publication date06.09.2020
Pages383-386
Article number3410020
ISBN (Print)978-1-4503-7540-5
DOIs
Publication statusPublished - 06.09.2020
EventMensch und Computer - University of Magdeburg - Virtual - , Magdeburg, Germany
Duration: 06.09.202009.09.2020
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

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