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ThinkMind // CENTRIC 2015, The Eighth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services // View article centric_2015_3_30_30096
From Anger to Relief: Five Ideal Types of Users Experiencing an Affective Intervention in HCI
Authors: Mathias Wahl Julia Krüger Jörg Frommer Keywords: intervention; user experience; qualitative research; ideal types; affective computing Abstract: Negative emotions, like distress, frustration or anger have been shown to impair the human-computer interaction (HCI). Previous research indicates that computers can reduce some of these negative emotional states in users by applying affective interventions. Until now, studies mainly measured the effectiveness of such interventions, but it is still poorly under-stood why these are effective and how users experience them. In the present study, in reaction to a critical dialogue situation of HCI, an affective intervention was given to deliberately frustrated users. Based on user interviews and by applying methods of qualitative research, users’ meaning making pro-cesses regarding the affective intervention were explored and categories of experience were worked out. On the basis of these, five ideal types relating to how users experienced and conceptualized the affective intervention were constructed. The typology clarifies that users’ appreciation of the intervention varied greatly between enthusiastic approval and definite rejection. This indicates that a ‘one type fits all’ solution is not appropriate for affective interventions. Pages: 55 to 61 Copyright: Copyright (c) IARIA, 2015 Publication date: November 15, 2015 Published in: conference ISSN: 2308-3492 ISBN: 978-1-61208-440-4 Location: Barcelona, Spain Dates: from November 15, 2015 to November 20, 2015
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