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Conference Papers Year : 2023

The effect of visual information complexity on urban mobility intention and behavior

Abstract

Encouraging soft mobility practices is a central issue for the ecological transition. Green information systems and more specifically self-tracking applications are tools that can be used to raise awareness and changing behavior. Based on the theoretical framework of visual complexity, this paper examines how the level of visual complexity of a mobile application influences users' urban mobility intentions and behaviors. We conducted two experimental studies. The first one investigated how the visual complexity of homepages affects mobility intentions with an application to measure one's carbon footprint in a situational setting. The first result of our research is that moderate information visual complexity positively influences the acceptability of a mobile application as well as mobility intentions. A second experimental research is divided into two parts, firstly, participants responded to our questionnaire, secondly, in a longitudinal approach, 51 subjects used the application over a 3-month period. The conceptual framework was tested using regression analyses. We find that intention to change behavior influences responsible urban mobility behavior. However, our experiment shows that the visual complexity of information does not have a significant influence on behavior. We then propose theoretical implications.
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Dates and versions

hal-04089291 , version 1 (04-05-2023)

Identifiers

  • HAL Id : hal-04089291 , version 1

Cite

Thomas Chambon, Ulysse Soulat, Jeanne Lallement, Jean-Loup Guillaume. The effect of visual information complexity on urban mobility intention and behavior. The 17th International Conference on Research Challenges in Information Science, May 2023, Corfu Island, Greece. ⟨hal-04089291⟩

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L3I UNIV-ROCHELLE
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