The intuitive grasp interface: design and evaluation of micro-gestures on the steering wheel for driving scenario

Xiao, Yiqi; He, Ran

doi:10.1007/s10209-019-00647-0

Cited by 9 publications

(5 citation statements)

References 25 publications

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“…Loehmann's concept design [37] enabled drivers to exchange music or initiate calls with nearby cars through a from-outside-to-inside hand gesture depicting the process an object is grasped from outside the window. Similar studies on human-vehicle interactions, such as [38], reported tasks such as scroll and return expressed by mid-air swiping of the finger. Stroke gestures denoting semantic content of the command with the direction of hand movement are metaphoric [39].…”

Section: Command-to-gesture Mappings For Mid-air Unistroke Gesturementioning

confidence: 63%

Mapping Directional Mid-Air Unistroke Gestures to Interaction Commands: A User Elicitation and Evaluation Study

2021

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A stroke is the basic limb movement that both humans and animals naturally and repetitiously perform. Having been introduced into gestural interaction, mid-air stroke gestures saw a wide application range and quite intuitive use. In this paper, we present an approach for building command-to-gesture mapping that exploits the semantic association between interactive commands and the directions of mid-air unistroke gestures. Directional unistroke gestures make use of the symmetry of the semantics of commands, which makes a more systematic gesture set for users’ cognition and reduces the number of gestures users need to learn. However, the learnability of the directional unistroke gestures is varying with different commands. Through a user elicitation study, a gesture set containing eight directional mid-air unistroke gestures was selected by subjective ratings of the direction in respect to its association degree with the corresponding command. We evaluated this gesture set in a following study to investigate the learnability issue, and the directional mid-air unistroke gestures and user-preferred freehand gestures were compared. Our findings can offer preliminary evidence that “return”, “save”, “turn-off” and “mute” are the interaction commands more applicable to using directional mid-air unistrokes, which may have implication for the design of mid-air gestures in human–computer interaction.

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Section: Command-to-gesture Mappings For Mid-air Unistroke Gesturementioning

confidence: 63%

Mapping Directional Mid-Air Unistroke Gestures to Interaction Commands: A User Elicitation and Evaluation Study

2021

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“…The first study found no difference on driving between microgestures and free hand gestures [19]. The second study showed that the reaction time was not impacted by the use of microgestures [54]. These contextual studies showed that microgestures are promising for performing low-priority tasks.…”

Section: Microgestures and Thumb-to-finger Gesturesmentioning

confidence: 86%

“…Also in a cycling context, Xiao et al observed that microgestures did not impact reaction time, however, they impacted the detection of objects in the peripheral vision [53]. Two studies in a driving context applied microgestures to control car functions [19,54]. The first study found no difference on driving between microgestures and free hand gestures [19].…”

Section: Microgestures and Thumb-to-finger Gesturesmentioning

confidence: 99%

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M[eye]cro

Wambecke

Goguey

Nigay

et al. 2021

Proc. ACM Hum.-Comput. Interact.

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We present M[eye]cro an interaction technique to select on-screen objects and navigate menus through the synergistic use of eye-gaze and thumb-to-finger microgestures. Thumb-to-finger microgestures are gestures performed with the thumb of a hand onto the fingers of the same hand. The active body of research on microgestures highlights expected properties including speed, availability and eye-free interaction. Such properties make microgestures a good candidate for multitasking. However, while praised, the state-of-the-art hypothesis stating that microgestures could be beneficial for multitasking has never been quantitatively verified. We study and compare M[eye]cro to a baseline, i.e., a technique based on physical controllers, in a cockpit-based context. This context allows us to design a controlled experiment involving multitasking with low- and high-priority tasks in parallel. Our results show that performances of the two techniques are similar when participants only perform the selection task. However, M[eye]cro tends to yield better time performance when participants additionally need to treat high-priority tasks in parallel. Results also show that M[eye]cro induces less fatigue and is mostly preferred.

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“…Since drivers need to keep their hands on the steering wheel as much as possible to ensure driving safety [10], many researchers have studied micro gesture interaction while grasping. Considering the great mobility of hands and fingers, Sharma et al [11] systematically investigated the effects of grasps and object sizes on user-elicitation gesture design. By taking both the gesture semantics and action trajectories into account, Xiao and He [12] explored how to use micro gestures to interact with the in-vehicle infotainment system efficiently and intuitively.…”

Section: Related Workmentioning

confidence: 99%

Exploring the Effectiveness of Gesture Interaction in Driver Assistance Systems via Virtual Reality

Liu

et al. 2022

IEEE/CAA J. Autom. Sinica

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The intuitive grasp interface: design and evaluation of micro-gestures on the steering wheel for driving scenario

Cited by 9 publications

References 25 publications

Mapping Directional Mid-Air Unistroke Gestures to Interaction Commands: A User Elicitation and Evaluation Study

Mapping Directional Mid-Air Unistroke Gestures to Interaction Commands: A User Elicitation and Evaluation Study

M[eye]cro

Exploring the Effectiveness of Gesture Interaction in Driver Assistance Systems via Virtual Reality

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