%0 Conference Proceedings
%T Computer-Related Attribution Styles: Typology and Data Collection Methods
%+ Lübeck University of Applied Sciences
%A Niels, Adelka
%A Janneck, Monique
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 15th Human-Computer Interaction (INTERACT)
%C Bamberg, Germany
%3 Human-Computer Interaction – INTERACT 2015
%V LNCS-9297
%N Part II
%P 274-291
%8 2015-09-14
%D 2015
%R 10.1007/978-3-319-22668-2_22
%K Attribution
%K Computer-related attitudes
%K Computer mastery
%K Computer failure
%K User types
%K Personas
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 13
%2 https://inria.hal.science/hal-01599887/document
%2 https://inria.hal.science/hal-01599887/file/346942_1_En_22_Chapter.pdf
%L hal-01599887
%U https://inria.hal.science/hal-01599887
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC13
%~ IFIP-INTERACT
%~ IFIP-LNCS-9297