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Evaluating Interface Layouts for Conditionally Automated Vehicle Messages

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Design, User Experience, and Usability (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14032))

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Abstract

Appropriate interface design is essential for drivers’ understanding of automated driving systems states, especially for systems that present complex information such as conditionally automated vehicles. To explore adequate interface design solutions, this study aimed to assess the effects of two different interface layouts (side-by-side symbols and overlapping symbols) on drivers’ comprehension of five system messages. To this end, we conducted an online comprehension testing which was answered by licensed drivers. We observed no significant differences in the effects of the layout on participants’ comprehension of the messages. However, qualitative data showed that respondents may not completely understand the functioning of conditionally automated vehicles, since drivers could comprehend failure or take over request messages but struggled to recognize the “unavailable” and “available” states. Our main contribution is a discussion on observed interface design issues that may be explored in future research.

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Acknowledgments

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), and Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ). The authors would also like to thank Rafael Cirino Gonçalves for his contribution in this study.

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Authors and Affiliations

  1. LEUI | Laboratory of Ergodesign and Usability of Interfaces, PUC-Rio | Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil

    Manuela Quaresma, Isabela Motta, Gabriel Martins & Clara Gavinho

Authors
  1. Manuela Quaresma
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  2. Isabela Motta
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  3. Gabriel Martins
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  4. Clara Gavinho
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Corresponding author

Correspondence to Manuela Quaresma .

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Editors and Affiliations

  1. Aaron Marcus and Associates, Berkeley, CA, USA

    Aaron Marcus

  2. World Usability Day and Bubble Mountain Consulting, Newton Center, MA, USA

    Elizabeth Rosenzweig

  3. Southern University of Science and Technology – SUSTech, Shenzhen, China

    Marcelo M. Soares

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Quaresma, M., Motta, I., Martins, G., Gavinho, C. (2023). Evaluating Interface Layouts for Conditionally Automated Vehicle Messages. In: Marcus, A., Rosenzweig, E., Soares, M.M. (eds) Design, User Experience, and Usability. HCII 2023. Lecture Notes in Computer Science, vol 14032. Springer, Cham. https://doi.org/10.1007/978-3-031-35702-2_21

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  • DOI: https://doi.org/10.1007/978-3-031-35702-2_21

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