Long Text Reading in a Car

Kunc, Ladislav; Labský, Martin; Macek, Tomáš; Vystrčil, Jan; Kleindienst, Jan; Kašparová, Tereza; Luksch, David; Medenica, Zeljko

doi:10.1007/978-3-319-07230-2_42

Cited by 2 publications

(6 citation statements)

References 11 publications

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“…This reached 71% for the button-controlled UMA. Compared to a previous study [2] this was an 8% increase despite the present study having 4 search tasks instead of 3 in the previous study. Success rate however dropped to 46% when using hand gestures as some participants experienced problems using gesture recognition while driving.…”

Section: Performancecontrasting

confidence: 80%

“…This is slightly better compared to a previous study [2] where original UMA content was presented instead of tailored answers and caused a 54% increase in mean deviation.…”

Section: Driving Distractioncontrasting

confidence: 57%

“…Relevant parts of original user manual content were tailored for question answering style of presentation, contrary to a previous prototype that enabled users to search original fulltext parts of an existing user manual [2]. Some answers were augmented by videos or schematic pictures (for stationary scenario only).…”

Section: User Manual Prototypementioning

confidence: 99%

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Interactive Car Owner's Manual User Study

Macek

Labský

Vystrčil

et al. 2014

Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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We present results of a user study with a prototype of an interactive speech-enabled car owner's user manual assistant. Its purpose is to help the driver learn about various car features and related procedures. The study focused on two scenarios -when parked and while driving. We also used the Leap Motion gesture recognizer as an alternative to buttons. During the experiment we collected both objective driving data and subjective feedback. Results indicate that the users preferred the electronic user manual to the paper form, although they proposed numerous improvements. One particular concern was discoverability of content. The acceptance of Leap Motion gestures was low when driving, possibly impacted by short time allowed for practicing. Driver's distraction caused by interacting with the multimodal user manual was similar to that of receiving and reading text messages.

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Section: Performancecontrasting

confidence: 80%

“…This is slightly better compared to a previous study [2] where original UMA content was presented instead of tailored answers and caused a 54% increase in mean deviation.…”

Section: Driving Distractioncontrasting

confidence: 57%

See 1 more Smart Citation

Interactive Car Owner's Manual User Study

Macek

Labský

Vystrčil

et al. 2014

Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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“…A similar observation was made also for test drivers who listened to and navigated news articles and short stories (Kunc et al, 2014).…”

Section: Self-sufficient Auditory Channelsupporting

confidence: 60%

“…Users also missed some information in the voice output channel such as audio indication of route calculation progress (which could take several seconds). Reading any text from the screen was found difficult, and users requested that playback be improved; see related follow-up study (Kunc et al, 2014). Interestingly, multiple participants requested voice commands that would duplicate buttons like "next" and "previous", even in cases where speech would be less efficient.…”

Section: Usability Testing Resultsmentioning

confidence: 99%

Recipes for building voice search UIs for automotive

Labský¹,

Kunc²,

Macek³

et al. 2014

Proceedings of the EACL 2014 Workshop on Dialogue in Motion

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In this paper we describe a set of techniques we found suitable for building multi-modal search applications for automotive environments. As these applications often search across different topical domains, such as maps, weather or Wikipedia, we discuss the problem of switching focus between different domains. Also, we propose techniques useful for minimizing the response time of the search system in mobile environment. We evaluate some of the proposed techniques by means of usability tests with 10 novice test subjects who drove a simulated lane change test on a driving simulator. We report results describing the induced driving distraction and user acceptance.

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Long Text Reading in a Car

Cited by 2 publications

References 11 publications

Interactive Car Owner's Manual User Study

Interactive Car Owner's Manual User Study

Recipes for building voice search UIs for automotive

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