Experience, expertise, but also self-confidence and attitudes towards computer technology play an important role in how people interact with computers, especially when problems arise (cf. Janneck, Vincent-Höper, & Ehrhardt, 2013). In this regard, attribution theory is a promising approach to explain general types of user behavior. Attribution theory deals with the causal explanations people find for things happening around them, and also with the extent of control people feel they have over external events. Attribution styles have a considerable influence on motivation, behavior, and emotions (Weiner, 1985; Abramson, Seligman, & Teasdale, 1978). While originating in social psychology, attribution theory is also applicable to computer-related experiences. Recent research found distinct computer-related attribution styles (Niels & Janneck, 2015). Moreover, a study has shown that users with more unfavorable (e.g. low sense of control) attribution styles are less motivated in handling computer issues – such as breakdowns or learning to use new features – than users with more favorable attribution styles (Niels & Janneck, 2017). These results raise the question which specific measures are appropriate to specifically support users with less favorable attribution styles with the intention to increase their motivation to master computer applications. [... from the Introduction]
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:36588 |
| Date | 18 December 2019 |
| Creators | Niels, Adelka, Jent, Sophie, Janneck, Minique |
| Contributors | Technische Universität Dresden |
| Publisher | TUDpress |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 978-3-95908-186-3, urn:nbn:de:bsz:14-qucosa2-364564, qucosa:36456 |
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