SenseGlove Publications at EuroHaptics 2020

In this work-in-progress paper, presented at EuroHaptics 2020, Michelle Corten — a Masters’s thesis student at the TU Delft — explores the impact of visual, vibrotactile, and force feedback on the effectiveness of virtual reality manufacturing training tasks.

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Quantifying Industrial Touch:

 Taking a Task Performance Approach To Quantify Feedback Modality Contributions to Virtual Reality Manufacturing Training

Michelle Corten, Daniel Shor , Michaël Wiertlewski , Jess Hartcher – O’Brien and David Abbink

Abstract — An integral part of creating compelling and useful immersive virtual environments is the presence of haptic feedback, where both kinesthetic and cutaneous feedback convey unique information critical to object handling and manipulation. The benefits of tactile rendering for collisions and forces during virtual and telemanipulation are well documented in the literature. However, the default metric for assessing system performance – task-completion-time – offers limited insight into the mechanisms underlying human behavior captured in task performance. It offers incomplete information as to where, when, and why temporal differences occur between haptic feedback conditions.

We aim to identify improvements made by the addition of haptic feedback to a haptic glove, through isolating the contribution of event-based vibrotactile feedback and resistive force-feedback. By applying a hierarchical task-analysis approach, rather than focusing on completion time alone, we are able to quantify participants’ behavior in time and space. The approach allows us to explore the differences between expected physical world behavior and corresponding behavior in a virtual environment. To determine if our application of a hierarchical task-analysis method provides insights into human behavior at a mechanism level, we perform an analysis of a simplified industrial task in virtual reality.

SenseGlove VR AR Simulation
SenseGlove Research

In this work, we outline our approach, and contrast it against current standard methodologies. We discuss the strengths and limitations of both the task completion time and the dynamic behavioral task metrics as well as present preliminary results.

If you’d like to read more, please download the two page paper by following the link below.

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