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Passive Haptic Learning as a Reinforcement Modality for Information

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Smart Multimedia (ICSM 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13497))

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Abstract

This paper outlines the experimental procedure are results of a project focused on furthering the understanding of Passive Haptic Learning (PHL) for future exploration. PHL is the use of haptic signals to assist in the reinforcement of previously learning information without the need for subjects to actively focus on memorization of content. In this experiment, it was proposed to attempt to utilize PHL while providing subjects as little connecting details as possible between memorization targets and haptic inputs to assess if PHL still applied. This experiment found that without any connecting information the phenomenon known as PHL does not occur and may even be partially detrimental to memory retention based on subject responses.

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References

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Correspondence to Connor Giam .

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Giam, C., Kong, J., McDaniel, T. (2022). Passive Haptic Learning as a Reinforcement Modality for Information. In: Berretti, S., Su, GM. (eds) Smart Multimedia. ICSM 2022. Lecture Notes in Computer Science, vol 13497. Springer, Cham. https://doi.org/10.1007/978-3-031-22061-6_29

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  • DOI: https://doi.org/10.1007/978-3-031-22061-6_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-22060-9

  • Online ISBN: 978-3-031-22061-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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