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Emotional Maps for User Experience Research in the Wild

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

Communication écrite (2020)

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Abstract

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.

Mots clés

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

Sujet(s): 1600 Génie industriel > 1600 Génie industriel
Département: Département de mathématiques et de génie industriel
Organismes subventionnaires: CRSNG/NSERC
URL de PolyPublie: https://publications.polymtl.ca/6656/
Nom de la conférence: CHI Conference on Human Factors in Computing Systems (CHI 2020)
Lieu de la conférence: Honolulu, Hawaï, États-Unis
Date(s) de la conférence: 2020-04-25 - 2020-04-30
Maison d'édition: Association for Computing Machinery (ACM)
DOI: 10.1145/3334480.3383042
URL officielle: https://doi.org/10.1145/3334480.3383042
Date du dépôt: 19 août 2021 11:10
Dernière modification: 19 avr. 2023 11:16
Citer en APA 7: Georges, V., Courtemanche, F., Fredette, M., & Doyon-Poulin, P. (avril 2020). Emotional Maps for User Experience Research in the Wild [Communication écrite]. CHI Conference on Human Factors in Computing Systems (CHI 2020), Honolulu, Hawaï, États-Unis (8 pages). https://doi.org/10.1145/3334480.3383042

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