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Effects of Haptic Feedback on User Perception and Performance in Interactive Projected Augmented Reality

Authors: Sam Van Damme; Nicolas Legrand; Joris Heyse; Femke De Backere; Filip De Turck; Maria Torres Vega;

Effects of Haptic Feedback on User Perception and Performance in Interactive Projected Augmented Reality

Abstract

By means of vibrotactile and force feedback, i.e., haptics, users are given the sensation of touching and manipulating virtual objects in interactive Extended Reality (XR) environments. However, research towards the influence of this feedback on the users’ perception and performance in interactive XR is currently still scarce. In this work, we present an experimental evaluation of the effects of haptic feedback in interactive immersive applications. By means of a Projected Augmented Reality (PAR) setup, users were asked to interact with a projected environment by completing three different tasks based on finger-tracking and in the presence of visual latency. Evaluations were performed both subjectively (questionnaire) and objectively (i.e. duration and accuracy). We found out that while haptic feedback does not enhance the performance for simple tasks, it substantially improves it for more complex ones. This effect is more evident in presence of network degradation, such as latency. However, the subjective questionnaires showed a general skepticism about the potential of incorporating haptic information into immersive applications. As such, we believe that this paper provides an important contribution toward the understanding and assessment of the influence of haptic technology in interactive immersive systems.

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Technology and Engineering

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selected citations
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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).
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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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