Teaching Drivers about ADAS using Spoken Dialogue: A Wizard of Oz Study

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Titel: Teaching Drivers about ADAS using Spoken Dialogue: A Wizard of Oz Study
Autoren: Rukonic, Luka, Marie-Anne Pungu Mwange, Kieffer, Suzanne, 6th International Conference on Human Computer Interaction Theory and Applications (HUCAPP)
Weitere Verfasser: UCL - SSH/ILC/PCOM - Pôle de recherche en communication
Verlagsinformationen: SCITEPRESS
Publikationsjahr: 2022
Bestand: DIAL@USL-B (Université Saint-Louis, Bruxelles)
Schlagwörter: Interactive Driver Tutoring, Mental Models, Car Voice Assistant, Wizard of Oz, Advanced Driver Assistance
Beschreibung: Understanding the limitations and capabilities of the advanced driver-assistance systems (ADAS) is a prerequisite for their safe and comfortable use. This paper presents a formative user study on the use of a dialogue-based system, implemented using the Wizard of Oz (WOz) technique, to help drivers learn about the correct use of driving assistance. We investigated whether drivers would build the correct mental model of the driving assistance systems through natural language dialogue. We describe the evolution of the prototype over four iterations of formative evaluation with older and younger drivers. Using a mixed-method approach, combining the WOz, interviews, questionnaires, and a knowledge quiz, we evaluated the prototype of a voice assistant and identified the teaching content objectives. Participants’ mental model about ADAS was assessed to evaluate the efficacy of the teaching approach. The results show that the teaching goals need to be clearly communicated to the drivers to ensure the adoption of the VA.
Publikationsart: conference object
Sprache: English
Relation: boreal:257993; http://hdl.handle.net/2078.1/257993
Verfügbarkeit: http://hdl.handle.net/2078.1/257993
Rights: info:eu-repo/semantics/openAccess
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  Data: Teaching Drivers about ADAS using Spoken Dialogue: A Wizard of Oz Study
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  Data: <searchLink fieldCode="AR" term="%22Rukonic%2C+Luka%22">Rukonic, Luka</searchLink><br /><searchLink fieldCode="AR" term="%22Marie-Anne+Pungu+Mwange%22">Marie-Anne Pungu Mwange</searchLink><br /><searchLink fieldCode="AR" term="%22Kieffer%2C+Suzanne%22">Kieffer, Suzanne</searchLink><br /><searchLink fieldCode="AR" term="%226th+International+Conference+on+Human+Computer+Interaction+Theory+and+Applications+%28HUCAPP%29%22">6th International Conference on Human Computer Interaction Theory and Applications (HUCAPP)</searchLink>
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  Data: UCL - SSH/ILC/PCOM - Pôle de recherche en communication
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  Data: Understanding the limitations and capabilities of the advanced driver-assistance systems (ADAS) is a prerequisite for their safe and comfortable use. This paper presents a formative user study on the use of a dialogue-based system, implemented using the Wizard of Oz (WOz) technique, to help drivers learn about the correct use of driving assistance. We investigated whether drivers would build the correct mental model of the driving assistance systems through natural language dialogue. We describe the evolution of the prototype over four iterations of formative evaluation with older and younger drivers. Using a mixed-method approach, combining the WOz, interviews, questionnaires, and a knowledge quiz, we evaluated the prototype of a voice assistant and identified the teaching content objectives. Participants’ mental model about ADAS was assessed to evaluate the efficacy of the teaching approach. The results show that the teaching goals need to be clearly communicated to the drivers to ensure the adoption of the VA.
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      – Text: English
    Subjects:
      – SubjectFull: Interactive Driver Tutoring
        Type: general
      – SubjectFull: Mental Models
        Type: general
      – SubjectFull: Car Voice Assistant
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      – SubjectFull: Wizard of Oz
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      – SubjectFull: Advanced Driver Assistance
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      – TitleFull: Teaching Drivers about ADAS using Spoken Dialogue: A Wizard of Oz Study
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            NameFull: Kieffer, Suzanne
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              Y: 2022
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