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

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer 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.
OriginalsprogEngelsk
TitelExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, HI, USA, April 25-30, 2020
RedaktørerRegina 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
Antal sider8
ForlagAssociation for Computing Machinery
Publikationsdato2020
Sider1-8
DOI
StatusUdgivet - 2020

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