Gestural interaction on the steering wheel

Döring, Tanja; Kern, Dagmar; Marshall, Paul; Pfeiffer, Max; Schöning, Johannes; Gruhn, Volker; Schmidt, Albrecht

doi:10.1145/1978942.1979010

Cited by 84 publications

(47 citation statements)

References 20 publications

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“…Several gesture recognition systems have included support for customization [5,7,9,11,24,30,31]. Most of these papers either do not include a user evaluation or include an evaluation where the user is provided with a set of gestures on which to train the system, rather than creating their own gestures.…”

Section: Gesture Personalization (Customization)mentioning

confidence: 99%

The challenges and potential of end-user gesture customization

Findlater

2013

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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The vast majority of work on understanding and supporting the gesture creation process has focused on professional designers. In contrast, gesture customization by end userswhich may offer better memorability, efficiency and accessibility than pre-defined gestures-has received little attention. To understand the end-user gesture creation process, we conducted a study where 20 participants were asked to: (1) exhaustively create new gestures for an openended use case; (2) exhaustively create new gestures for 12 specific use cases; (3) judge the saliency of different touchscreen gesture features. Our findings showed that even when asked to create novel gestures, participants tended to focus on the familiar. Misconceptions about the gesture recognizer's abilities were also evident, and in some cases constrained the range of gestures that participants created. Finally, as a calibration point for future research, we used a simple gesture recognizer ($N) to analyze recognition accuracy of the participants' custom gesture sets: accuracy was 68-88% on average, depending on the amount of training and the customization scenario. We conclude with implications for the design of a mixed-initiative approach to support custom gesture creation.

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Section: Gesture Personalization (Customization)mentioning

confidence: 99%

The challenges and potential of end-user gesture customization

Findlater

2013

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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“…In this paper, we describe a gesture based multitouch steering wheel by utilizing the limited operating space on a steering wheel. A previous research shows that gestural input on the steering wheel advantages over console interfaces in regards to the visual demand, as the drivers do not require to change their gaze position [2].…”

Section: Multi-touch Interfacesmentioning

confidence: 99%

Multi-touch steering wheel for in-car tertiary applications using infrared sensors

Koyama

Sugiura

Ogata

et al. 2014

Proceedings of the 5th Augmented Human International Conference

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This paper proposes a multi-touch steering wheel for in-car tertiary applications. Existing interfaces for in-car applications such as buttons and touch displays have several operating problems. For example, drivers have to consciously move their hands to the interfaces as the interfaces are fixed on specific positions. Therefore, we developed a steering wheel where touch positions can correspond to different operating positions. This system can recognize hand gestures at any position on the steering wheel by utilizing 120 infrared (IR) sensors embedded in it. The sensors are lined up in an array surrounding the whole wheel. An Support Vector Machine (SVM) algorithm is used to learn and recognize the different gestures through the data obtained from the sensors. The gestures recognized are flick, click, tap, stroke and twist. Additionally, we implemented a navigation application and an audio application that utilizes the torus shape of the steering wheel. We conducted an experiment to observe the possibility of our proposed system to recognize flick gestures at three positions. Results show that an average of 92% of flick could be recognized.

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“…Döring et al [8] investigated the use of touch gestures on a steering wheel equipped with a multi touch display. In two tasks (map navigation and music player control), it caused less visual distraction than the physical controls of a standard radio and navigation system.…”

Section: Touch Gesturesmentioning

confidence: 99%

“…We refer to [2] and [8], who tested their concepts with a music player task. Listening to and controlling music is a common secondary task while driving.…”

Section: Choice Of Functionalitymentioning

confidence: 99%

How to make large touch screens usable while driving

Rümelin

Butz²

2013

Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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Large touch screens are recently appearing in the automotive market, yet their usability while driving is still controversial. Flat screens do not provide haptic guidance and thus require visual attention to locate interactive elements that are displayed. Thus, we need to think about new concepts to minimize the visual attention needed for interaction, to keep the driver's focus on the road and ensure safety.In this paper, we explore three different approaches. The first one is designed to make use of proprioception. The second approach incorporates physical handles to ease orientation on a large flat surface. In the third approach, directional touch gestures are applied. We describe the results of a comparative study that investigates the required visual attention as well as task performance and perceived usability, in comparison to a state-ofthe-art multifunctional controller.We found that direct touch buttons provide the best results regarding task completion time, but with a size of about 6x8 cm, they were not yet large enough for blind interaction. Physical elements in and around the screen space were regarded useful to ease orientation. With touch gestures, participants were able to reduce visual attention to a lower level than with the remote controller. Considering our findings, we argue that there are ways to make large screens more appropriate for in-car usage and thus harness the advantages they provide in other aspects.

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Gestural interaction on the steering wheel

Cited by 84 publications

References 20 publications

The challenges and potential of end-user gesture customization

The challenges and potential of end-user gesture customization

Multi-touch steering wheel for in-car tertiary applications using infrared sensors

How to make large touch screens usable while driving

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