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Emotional Maps for User Experience Research in the Wild

Vanessa Georges, François Courtemanche, Marc Fredette and Philippe Doyon-Poulin

Conference or Workshop Item - Paper (2020)

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Cite this document: Georges, V., Courtemanche, F., Fredette, M. & Doyon-Poulin, P. (2020, April). Emotional Maps for User Experience Research in the Wild. Paper presented at CHI Conference on Human Factors in Computing Systems (CHI 2020), Honolulu, Hawaï, États-Unis (8 pages). doi:10.1145/3334480.3383042
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While most traditional user experience (UX) evaluation methods (e.g., questionnaires) have made the transition to the “wild”, physiological measurements still strongly rely upon controlled lab settings. As part of an ongoing research agenda, this paper presents a novel approach for UX research which contributes to this transition. The proposed method triangulates GPS and physiological data to create emotional maps, which outline geographical areas where users experienced specific emotional states in outdoor environments. The method is implemented as a small portable recording device, and a data visualization software. A field study was conducted in an amusement park to test the proposed approach. Emotional maps highlighting the areas where users experienced varying levels of arousal are presented. We also discuss insights uncovered, and how UX practitioners could use the approach to bring their own research into the wild.

Uncontrolled Keywords

User Experience; Emotion Evaluation; Heat maps; Data Visualization; Physiological Measures; In the Wild Methods

Open Access document in PolyPublie
Subjects: 1600 Génie industriel > 1600 Génie industriel
Department: Département de mathématiques et de génie industriel
Research Center: Non applicable
Date Deposited: 19 Aug 2021 11:10
Last Modified: 20 Aug 2021 01:20
PolyPublie URL: https://publications.polymtl.ca/6656/
Document issued by the official publisher
Conference Title: CHI Conference on Human Factors in Computing Systems (CHI 2020)
Conference Location: Honolulu, Hawaï, États-Unis
Conference Date(s): 2020-04-25 - 2020-04-30
Publisher: Association for Computing Machinery (ACM)
Official URL: https://doi.org/10.1145/3334480.3383042


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