Performance Measures for Haptic Interfaces

Hayward, Vincent; Astley, Oliver R.

doi:10.1007/978-1-4471-1021-7_22

Cited by 157 publications

(97 citation statements)

References 16 publications

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“…But do these analogies hold? Existing performance metrics for haptic interfaces summarize the mechanical and electrical characteristics of the interface hardware [1]. These are useful for comparisons of the hardware but provide only a limited indication of the performance of the overall system on actual tasks.…”

Section: Introductionmentioning

confidence: 99%

A shape recognition benchmark for evaluating usability of a haptic environment

Kirkpatrick

Douglas

2001

Haptic Human-Computer Interaction

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This paper describes a benchmark task for evaluating the usability of haptic environments for a shape perception task. The task measures the ease with which observers can recognize members of a standard set of five shapes defined by Koenderink. Median time for 12 participants to recognize these shapes with the PHANToM was 23 seconds. This recognition time is within the range for shape recognition of physical objects using 1 finger but far slower than recognition using the whole hand. The results suggest haptic environments must provide multiple points of contact with an object for rapid performance of shape recognition.

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Section: Introductionmentioning

confidence: 99%

A shape recognition benchmark for evaluating usability of a haptic environment

Kirkpatrick

Douglas

2001

Haptic Human-Computer Interaction

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“…As with photography, this final step should accurately convey the stored stimuli without distortion or degradation. The main challenge to accurately controlling a touch-based interaction is that the important mechanical relationships are strongly affected by the dynamics of both the haptic device [4] and the user's hand [2]. Most existing systems neglect these influences, presuming that a haptic device can render any dynamic relationship for which it is programmed.…”

Section: Haptic Renderingmentioning

confidence: 99%

Haptography: Capturing the Feel of Real Objects to Enable Authentic Haptic Rendering (Invited Paper)

Kuchenbecker

2008

Proceedings of the First International Conference on Ambient Media and Systems

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Haptography: capturing the feel of real objects to enable authentic haptic rendering (invited paper)", . Haptography: capturing the feel of real objects to enable authentic haptic rendering (invited paper) AbstractHaptic interfaces are designed to allow humans to touch virtual objects as though they were real. Unfortunately, virtual surface models currently require extensive hand tuning and do not feel authentic, which limits the usefulness and applicability of such systems. The proposed approach of haptography seeks to address this deficiency by basing models on haptic data recorded from real interactions between a human and a target object. The studio haptographer uses a fully instrumented stylus to tap, press, and stroke an item in a controlled environment while a computer system records positions, orientations, velocities, accelerations, and forces. The point-and-touch haptographer carries a simply instrumented stylus around during daily life, using it to capture interesting haptic properties of items in the real world. Recorded data is distilled into a haptograph, the haptic impression of the object or surface patch, including properties such as local shape, stiffness, friction, and texture. Finally, the feel of the probed object is recreated via a haptic interface by accounting for the device's natural dynamics and focusing on the feedback of high-frequency accelerations. ABSTRACTHaptic interfaces are designed to allow humans to touch virtual objects as though they were real. Unfortunately, virtual surface models currently require extensive hand tuning and do not feel authentic, which limits the usefulness and applicability of such systems. The proposed approach of haptography seeks to address this deficiency by basing models on haptic data recorded from real interactions between a human and a target object. The studio haptographer uses a fully instrumented stylus to tap, press, and stroke an item in a controlled environment while a computer system records positions, orientations, velocities, accelerations, and forces. The point-and-touch haptographer carries a simply instrumented stylus around during daily life, using it to capture interesting haptic properties of items in the real world. Recorded data is distilled into a haptograph, the haptic impression of the object or surface patch, including properties such as local shape, stiffness, friction, and texture. Finally, the feel of the probed object is recreated via a haptic interface by accounting for the device's natural dynamics and focusing on the feedback of high-frequency accelerations.

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“…Some of these methods employ only algorithm validation and comparison based on rendering realism [5], [6], whereas some others studied control design and evaluation for haptic interfaces [7], [8], [9]. Several projects [10], [11] evaluated particular haptic devices based on technical performance metrics given by Hayward and Astley [12]. There are many human factor studies to asses the benefits of haptic feedback on sensory-motor control tasks.…”

Section: A State Of the Artmentioning

confidence: 99%

Generic and systematic evaluation of haptic interfaces based on testbeds

Samur

Wang

Spaelter

et al. 2007

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems

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Abstract-The purpose of evaluation procedures is to achieve both qualitative and quantitative statements on haptic rendering realism and performance. Since a haptic interface provides an interaction between a user and a virtual environment, fidelity of a haptic interface directly affects the performance. To our knowledge, a standard, generic and reusable validation method which comprehensively addresses all the attributes of haptic feedback has not been realized yet. Despite the large number of human factor studies, only few of them have been proposed as well for haptic interface performance measurements. For this reason, we review validation procedures for haptic rendering and propose an evaluation method based on testbeds to obtain a systematic haptic interface assessment. We integrated the approaches of human factor studies into the testbeds to obtain a simple and yet complete measure of human-machine interaction performance. The testbeds were tested on a haptic interface, the IHP of Xitact SA, and performance results are presented. In the testbeds, performance metrics for generic haptic interaction tasks are expressed in terms of information transfer (bits) and sensory thresholds which are indeed device specific benchmark metrics. Thus, the suitability of a haptic interface for a defined task can be verified, device comparisons become possible and the obtained information can be used to identify possible improvements.

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Performance Measures for Haptic Interfaces

Cited by 157 publications

References 16 publications

A shape recognition benchmark for evaluating usability of a haptic environment

A shape recognition benchmark for evaluating usability of a haptic environment

Haptography: Capturing the Feel of Real Objects to Enable Authentic Haptic Rendering (Invited Paper)

Generic and systematic evaluation of haptic interfaces based on testbeds

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