Abstract | ||
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This paper focuses on a particularly crucial aspect of haptic perception: the ability to temporarily store and manipulate haptic sensory information-a capacity termed haptic working memory (HWM). Despite the importance of HWM, the extent and nature of its limitations are largely unknown. Recent research however, has demonstrated that an information-theoretic analysis is able to provide a quantitative definition of working memory capacity for other sensory modalities (visual), and is able to yield novel predictions for human performance. Here we apply this framework to the results of a psychophysical experiment on HWM for object width. This analysis is framed around rate-distortion theory, a branch of information theory that provides optimal bounds on the accuracy of information transmission subject to a fixed information capacity. We demonstrate that a simple model developed from this framework provides an excellent account of the empirical data. |
Year | DOI | Venue |
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2016 | 10.1109/HAPTICS.2016.7463164 | 2016 IEEE Haptics Symposium (HAPTICS) |
Keywords | Field | DocType |
capacity-limited information channel,haptic perception,haptic sensory information,haptic working memory,HWM,information-theoretic analysis,working memory capacity,sensory modalities,human performance,psychophysical experiment,object width,rate-distortion theory,optimal bounds,information transmission,information capacity | Information theory,Computer vision,Computer science,Haptic perception,Working memory,Communication channel,Information transmission,Human–computer interaction,Artificial intelligence,Sensory system,Stimulus modality,Haptic technology | Conference |
ISSN | Citations | PageRank |
2324-7347 | 0 | 0.34 |
References | Authors | |
1 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rachel A. Lerch | 1 | 0 | 0.34 |
Hengjun Cui | 2 | 0 | 0.34 |
Soham Patwardhan | 3 | 0 | 0.34 |
Yon Visell | 4 | 154 | 22.97 |
Chris R. Sims | 5 | 5 | 2.69 |