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' Mueller; Steve Mann

doi:10.1145/3334480.3375163

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' Mueller

Steve Mann

Monash University
Royal Melbourne Institute of Technology
IBM Research Australia
Koç University
Zurich University of the Arts
Saarland University
Georgia Institute of Technology
The University of Auckland
Darmstadt University of Technology
University College London
Keio University
Virginia Polytechnic Institute and State University
Coventry University
University of Technology, Sydney
Eindhoven University of Technology
University of Toronto

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-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 language	English
Title of host publication	Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, HI, USA, April 25-30, 2020
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
Number of pages	8
Publisher	Association for Computing Machinery
Publication date	2020
Pages	1-8
DOIs	https://doi.org/10.1145/3334480.3375163
Publication status	Published - 2020
Event	The ACM Conference on Human Factors in Computing Systems - Virtual event, VIRTUAL Duration: 25 Apr 2020 → 30 Apr 2020 https://chi2020.acm.org/

Conference

Conference	The ACM Conference on Human Factors in Computing Systems
Location	Virtual event
City	VIRTUAL
Period	25/04/2020 → 30/04/2020
Internet address	https://chi2020.acm.org/

Keywords

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

Access to Document

10.1145/3334480.3375163

https://doi.org/10.1145/3334480.3375163

Cite this

Patibanda, R., Semertzidis, N. A., Scary, M., Delfa, J. N. L., Andres, J., Baytas, M. A., Martin-Niedecken, A. L., Strohmeier, P., Fruchard, B., Leigh, S., Mekler, E. D., Nanayakkara, S., Wiemeyer, J., Berthouze, N., Kunze, K., Rikakis, T., Kelliher, A., Warwick, K., Hoven, E. V. D., ... Mann, S. (2020). Motor Memory in HCI. In R. Bernhaupt, F. F. Mueller, D. Verweij, J. Andres, J. McGrenere, A. Cockburn, I. Avellino, A. Goguey, P. Bjøn, S. Zhao, B. P. Samson, & R. Kocielnik (Eds.), Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, HI, USA, April 25-30, 2020 (pp. 1-8). Association for Computing Machinery. https://doi.org/10.1145/3334480.3375163

Patibanda, Rakesh ; Semertzidis, Nathan Arthur ; Scary, Michaela et al. / Motor Memory in HCI. Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, HI, USA, April 25-30, 2020. editor / 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. Association for Computing Machinery, 2020. pp. 1-8

@inproceedings{27938b979edc4189b55fd2e0383009ef,

title = "Motor Memory in HCI",

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.",

keywords = "Embodied Cognition, Motor Memory Augmentation, Human-Computer Interaction, Adaptive Intelligent Systems, Brain-Computer Interfaces, Embodied Cognition, Motor Memory Augmentation, Human-Computer Interaction, Adaptive Intelligent Systems, Brain-Computer Interfaces",

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

year = "2020",

doi = "10.1145/3334480.3375163",

language = "English",

pages = "1--8",

editor = "Regina Bernhaupt and Mueller, \{Florian 'Floyd'\} and David Verweij and Josh Andres and Joanna McGrenere and Andy Cockburn and Ignacio Avellino and Alix Goguey and Pernille Bj{\o}n and Shengdong Zhao and Samson, \{Briane Paul\} and Rafal Kocielnik",

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

publisher = "Association for Computing Machinery",

address = "United States",

note = "The ACM Conference on Human Factors in Computing Systems, CHI ; Conference date: 25-04-2020 Through 30-04-2020",

url = "https://chi2020.acm.org/",

}

Patibanda, R, Semertzidis, NA, Scary, M, Delfa, JNL, Andres, J, Baytas, MA, Martin-Niedecken, AL, Strohmeier, P, Fruchard, B, Leigh, S, Mekler, ED, Nanayakkara, S, Wiemeyer, J, Berthouze, N, Kunze, K, Rikakis, T, Kelliher, A, Warwick, K, Hoven, EVD, Mueller, FF & Mann, S 2020, Motor Memory in HCI. in R Bernhaupt, FF Mueller, D Verweij, J Andres, J McGrenere, A Cockburn, I Avellino, A Goguey, P Bjøn, S Zhao, BP Samson & R Kocielnik (eds), Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, HI, USA, April 25-30, 2020. Association for Computing Machinery, pp. 1-8, The ACM Conference on Human Factors in Computing Systems, VIRTUAL, 25/04/2020. https://doi.org/10.1145/3334480.3375163

Motor Memory in HCI. / Patibanda, Rakesh; Semertzidis, Nathan Arthur; Scary, Michaela et al.
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, HI, USA, April 25-30, 2020. ed. / 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. Association for Computing Machinery, 2020. p. 1-8.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

TY - GEN

T1 - Motor Memory in HCI

AU - Patibanda, Rakesh

AU - Semertzidis, Nathan Arthur

AU - Scary, Michaela

AU - Delfa, Joseph Nathan La

AU - Andres, Josh

AU - Baytas, Mehmet Aydin

AU - Martin-Niedecken, Anna Lisa

AU - Strohmeier, Paul

AU - Fruchard, Bruno

AU - Leigh, Sang-won

AU - Mekler, Elisa D.

AU - Nanayakkara, Suranga

AU - Wiemeyer, Josef

AU - Berthouze, Nadia

AU - Kunze, Kai

AU - Rikakis, Thanassis

AU - Kelliher, Aisling

AU - Warwick, Kevin

AU - Hoven, Elise van den

AU - Mueller, Florian 'Floyd'

AU - Mann, Steve

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Embodied Cognition

KW - Motor Memory Augmentation

KW - Human-Computer Interaction

KW - Adaptive Intelligent Systems

KW - Brain-Computer Interfaces

KW - Embodied Cognition

KW - Motor Memory Augmentation

KW - Human-Computer Interaction

KW - Adaptive Intelligent Systems

KW - Brain-Computer Interfaces

U2 - 10.1145/3334480.3375163

DO - 10.1145/3334480.3375163

M3 - Article in proceedings

SP - 1

EP - 8

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

A2 - Bernhaupt, Regina

A2 - Mueller, Florian 'Floyd'

A2 - Verweij, David

A2 - Andres, Josh

A2 - McGrenere, Joanna

A2 - Cockburn, Andy

A2 - Avellino, Ignacio

A2 - Goguey, Alix

A2 - Bjøn, Pernille

A2 - Zhao, Shengdong

A2 - Samson, Briane Paul

A2 - Kocielnik, Rafal

PB - Association for Computing Machinery

T2 - The ACM Conference on Human Factors in Computing Systems

Y2 - 25 April 2020 through 30 April 2020

ER -

Patibanda R, Semertzidis NA, Scary M, Delfa JNL, Andres J, Baytas MA et al. Motor Memory in HCI. In Bernhaupt R, Mueller FF, Verweij D, Andres J, McGrenere J, Cockburn A, Avellino I, Goguey A, Bjøn P, Zhao S, Samson BP, Kocielnik R, editors, Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, HI, USA, April 25-30, 2020. Association for Computing Machinery. 2020. p. 1-8 doi: 10.1145/3334480.3375163

Motor Memory in HCI

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Keywords

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