Computer-related attribution styles: Typology and data collection methods

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Abstract

Attribution, i. e. the systematic ascription of causes to effects in situations of failure or success, has so far received little attention in HCI research. Based on a preliminary typology developed in pilot work, we conducted four empirical studies with a total of N = 146 participants using different methods for data collection, including laboratory studies, a mobile diary study, and an online survey. Results show that several typical styles of attributing computer-related failure or success could be identified. Therefore, we propose a typology of six main attribution styles, which are depicted as personas to make them applicable for HCI practice. Methodical issues in computer-related attribution research and implication for research and practice are discussed.

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Niels, A., & Janneck, M. (2015). Computer-related attribution styles: Typology and data collection methods. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9297, pp. 274–291). Springer Verlag. https://doi.org/10.1007/978-3-319-22668-2_22

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