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Drop-out in Living Lab Field Tests : A Contribution to the Definition and the Taxonomy

Habibipour, Abdolrasoul, 1979- (author)
Luleå tekniska universitet,Datavetenskap
Georges, Annabel (author)
imec - mict - Ghent University
Schuurman, Dimitri (author)
imec - mict - Ghent University
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Bergvall-Kåreborn, Birgitta (author)
Luleå tekniska universitet,Datavetenskap
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 (creator_code:org_t)
Krakow : ENoLL - European Network of Living Labs, 2017
2017
English.
In: Research Day Conference proceedings 2017. - Krakow : ENoLL - European Network of Living Labs. - 9789082102772 ; , s. 7-20
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Studies on living labs show that the users’ motivation to participate in a field test is higher at the beginning of the project than during the rest of the test, and that users tend to dropout before completing the assigned tasks. However, the literature still lacks theories describing the phenomenon of drop-out within the area of living lab field tests. As the first step of developing a theoretical discourse, the aim of this study is to present an empirically derived taxonomy for the various influential factors on drop-out behavior and to provide a definition for drop-out in living lab field tests. To achieve this goal, we first extracted factors influencing drop-out in the field test by conducting a short literature review on the topic, and then triangulated the factors across 14 semi-structured interviews with experts in living lab field tests. Our findings show that identified reasons for drop-out can be grouped in three categories: innovation-related, research-related and participant-related. Each category in turn, consists of three subcategories with a total of 45 items for drop-out in living lab field tests. In this study, we also explore different types of drop-out and propose a definition for drop-out in living lab field tests.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Information Systems (hsv//eng)

Keyword

User engagement
Drop-out
Living Lab
Field test
Taxonomy
User motivation
Information systems
Informationssystem

Publication and Content Type

ref (subject category)
kon (subject category)

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