Passive Haptic Learning as a Reinforcement Modality for Information

Connor Giam, Joseph Kong, Troy McDaniel

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish (US)
Title of host publicationSmart Multimedia - Third International Conference, ICSM 2022, Revised Selected Papers
EditorsStefano Berretti, Guan-Ming Su
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages11
ISBN (Print)9783031220609
StatePublished - 2022
Externally publishedYes
Event3rd International Conference on Smart Multimedia, ICSM 2022 - Marseille, France
Duration: Aug 25 2022Aug 27 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13497 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd International Conference on Smart Multimedia, ICSM 2022


  • Human-machine interaction and human factors
  • Multi-modal integration
  • Multimedia and education

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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