Motor Memory in HCI

Rakesh Patibanda, Nathan Arthur Semertzidis, Michaela Scary, Joseph Nathan La Delfa, Josh Andres, Mehmet Aydin Baytas, Anna Lisa Martin-Niedecken, Paul Strohmeier, Bruno Fruchard, Sang-won Leigh, Elisa D. Mekler, Suranga Nanayakkara, Josef Wiemeyer, Nadia Berthouze, Kai Kunze, Thanassis Rikakis, Aisling Kelliher, Kevin Warwick, Elise van den Hoven, Florian 'Floyd' MuellerSteve Mann

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Abstract

There is mounting evidence acknowledging that embodiment is foundational to cognition. In HCI, this understanding has been incorporated in concepts like embodied interaction, bodily play, and natural user-interfaces. However, while embodied cognition suggests a strong connection between motor activity and memory, we find the design of technological systems that target this connection to be largely overlooked. Considering this, we are provided with an opportunity to extend human capabilities through augmenting motor memory. Augmentation of motor memory is now possible with the advent of new and emerging technologies including neuromodulation, electric stimulation, brain-computer interfaces, and adaptive intelligent systems. This workshop aims to explore the possibility of augmenting motor memory using these and other technologies. In doing so, we stand to benefit not only from new technologies and interactions, but also a means to further study cognition.
Original languageEnglish
Title of host publicationExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, HI, USA, April 25-30, 2020
EditorsRegina Bernhaupt, Florian 'Floyd' Mueller, David Verweij, Josh Andres, Joanna McGrenere, Andy Cockburn, Ignacio Avellino, Alix Goguey, Pernille Bjøn, Shengdong Zhao, Briane Paul Samson, Rafal Kocielnik
Number of pages8
PublisherAssociation for Computing Machinery
Publication date2020
Pages1-8
DOIs
Publication statusPublished - 2020

Keywords

  • Embodied Cognition
  • Motor Memory Augmentation
  • Human-Computer Interaction
  • Adaptive Intelligent Systems
  • Brain-Computer Interfaces

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