Abstract
In this chapter, we investigate the feasibility of large-scale haptic evaluation on online platforms such as Amazon Mechanical Turk. We introduce proxy modalities as a way to crowdsource vibrotactile sensations by reliably communicating high-level features through a crowd-accessible channel. We investigate two proxy modalities to represent a high-fidelity tactor: a new vibrotactile visualization, and low-fidelity vibratory translations playable on commodity smartphones. We translated 10 high-fidelity vibrations into both modalities, and in two user studies found that both proxy modalities can communicate affective features, and are consistent when deployed remotely over Mechanical Turk. We analyze fit of features to modalities, and suggest future improvements.
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Called taxonomy in the original conference publication.
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Seifi, H. (2019). Crowdsourcing Haptic Data Collection. In: Personalizing Haptics. Springer Series on Touch and Haptic Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-11379-7_6
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