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IEEE Transactions on Haptics
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IEEE Transactions on Haptics
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Path Following in Non-Visual Conditions

Authors: Alan Del Piccolo; Davide Rocchesso; Stefano Papetti;

Path Following in Non-Visual Conditions

Abstract

Path-following tasks have been investigated mostly under visual conditions, that is when subjects are able to see both the path and the tool, or limb, used for navigation. Moreover, only basic path shapes are usually adopted. In the present experiment, participants must rely exclusively on continuous, non-speech, and ecological auditory and vibrotactile cues to follow a path on a flat surface. Two different, asymmetric path shapes were tested. Participants navigated by moving their index finger over a surface sensing position and force. Results show that the different non-visual feedback modes did not affect the task's accuracy, yet they affected its speed, with vibrotactile feedback causing the slowest gestures. Also, vibrotactile feedback caused participants to exert more force over the surface. Finally, the shape of the path was relevant to the accuracy, and participants tended to prefer audio over vibrotactile and audio-tactile feedback.

+ ID: 561469 + PeerReviewed: Peer Reviewed

Country
Italy
Keywords

Adult, Male, Human Computer Interaction, Acoustic Stimulation, Touch Perception, Haptic Interfaces, Feedback, Sensory, Physical Stimulation, Auditory Perception, Humans, Female, Cues, Psychomotor Performance, Human computer interaction; User interfaces; Audio user interfaces; Haptic interfaces, Spatial Navigation, User Interfaces, Audio User Interfaces

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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