Abstract
The physical mass and damping of a haptic device contribute features that can be considered parasitic in that they potentially mask the virtual environment the user is intended to feel. On the other hand, users are generally able to adapt to the mechanical properties of physical tools and concentrate on the dynamics of task objects in the environment. It would be unsurprising, then, if humans were also able to ignore parasitic effects and focus on the mechanical properties of interest within a rendered environment. In this work, we explore a particular parasitic effect (damping) and its impact on the perception of stiffness. We examine the various perceptual impacts of predictable or unpredictable levels of damping. We find that, overall, humans are quite capable of ignoring damping to focus on stiffness, but that this ability may be hampered in the presence of unpredictable damping.
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This research was supported by NSF grant DGE 1256260. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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Treadway, E., Cutlip, S., Gillespie, R.B. (2018). Haptic Scene Analysis: Mechanical Property Separation Despite Parasitic Dynamics. In: Prattichizzo, D., Shinoda, H., Tan, H., Ruffaldi, E., Frisoli, A. (eds) Haptics: Science, Technology, and Applications. EuroHaptics 2018. Lecture Notes in Computer Science(), vol 10893. Springer, Cham. https://doi.org/10.1007/978-3-319-93445-7_21
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DOI: https://doi.org/10.1007/978-3-319-93445-7_21
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