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Motor Memory in HCI

  • Rakesh Patibanda
    ,
  • Nathan Arthur Semertzidis
    ,
  • Michaela Scary
    ,
  • Joseph Nathan La Delfa
    ,
  • Josh Andres
    ,
  • Mehmet Aydin Baytas
  • Monash University
    ,
  • Royal Melbourne Institute of Technology
    ,
  • IBM Research Australia
    ,
  • Koç University
    ,
  • Zurich University of the Arts
    ,
  • Saarland University
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1-8 (8 pages)

Publication milestones

  • Published - 2020

Publication status

Published - 2020

Publisher

Association for Computing Machinery, United States

Publication IDs

  • Scopus: 85090190881

Host publication title

Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, HI, USA, April 25-30, 2020

Host publication editors

  • Regina 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

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.

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Captures
28
Citations
13

Related Event

Title

The ACM Conference on Human Factors in Computing Systems

Event type

Conference

Degree of recognition

International event

Date

25/04/2020 - 30/04/2020

Location

Virtual eventVIRTUAL