Motor memory in HCI

Rakesh Patibanda; Nathan Arthur Semertzidis; Michaela Scary; Joseph Nathan La Delfa; Josh Andres; Mehmet Aydin Baytaş; 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 Baytaş, 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: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Citations (Scopus)

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	CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450368193
DOIs	https://doi.org/10.1145/3334480.3375163
Publication status	Published - 25 Apr 2020
Externally published	Yes
Event	2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 - Honolulu, United States Duration: 25 Apr 2020 → 30 Apr 2020

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
Country/Territory	United States
City	Honolulu
Period	25/04/20 → 30/04/20

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10.1145/3334480.3375163

Cite this

Patibanda, R., Semertzidis, N. A., Scary, M., La Delfa, J. N., Andres, J., Baytaş, M. A., Martin-Niedecken, A. L., Strohmeier, P., Fruchard, B., Leigh, S. W., Mekler, E. D., Nanayakkara, S., Wiemeyer, J., Berthouze, N., Kunze, K., Rikakis, T., Kelliher, A., Warwick, K., Van Den Hoven, E., ... Mann, S. (2020). Motor memory in HCI. In CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems Article 3375163 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3334480.3375163

@inproceedings{cc082a3487344123a7ae9fc56350ad28,

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, Embodied interaction, Intelligent systems, Motor memory",

author = "Rakesh Patibanda and Semertzidis, {Nathan Arthur} and Michaela Scary and {La Delfa}, {Joseph Nathan} and Josh Andres and Bayta{\c s}, {Mehmet Aydin} and Martin-Niedecken, {Anna Lisa} and Paul Strohmeier and Bruno Fruchard and Leigh, {Sang Won} 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 {Van Den Hoven}, Elise and Mueller, {Florian Floyd} and Steve Mann",

note = "Publisher Copyright: {\textcopyright} 2020 Owner/Author.; 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 ; Conference date: 25-04-2020 Through 30-04-2020",

year = "2020",

month = apr,

day = "25",

doi = "10.1145/3334480.3375163",

language = "English",

series = "Conference on Human Factors in Computing Systems - Proceedings",

publisher = "Association for Computing Machinery",

booktitle = "CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems",

}

Patibanda, R, Semertzidis, NA, Scary, M, La Delfa, JN, Andres, J, Baytaş, MA, Martin-Niedecken, AL, Strohmeier, P, Fruchard, B, Leigh, SW, Mekler, ED, Nanayakkara, S, Wiemeyer, J, Berthouze, N, Kunze, K, Rikakis, T, Kelliher, A, Warwick, K, Van Den Hoven, E, Mueller, FF & Mann, S 2020, Motor memory in HCI. in CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems., 3375163, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020, Honolulu, United States, 25/04/20. https://doi.org/10.1145/3334480.3375163

Motor memory in HCI. / Patibanda, Rakesh; Semertzidis, Nathan Arthur; Scary, Michaela et al.
CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2020. 3375163 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Motor memory in HCI

AU - Patibanda, Rakesh

AU - Semertzidis, Nathan Arthur

AU - Scary, Michaela

AU - La Delfa, Joseph Nathan

AU - Andres, Josh

AU - Baytaş, 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 - Van Den Hoven, Elise

AU - Mueller, Florian Floyd

AU - Mann, Steve

PY - 2020/4/25

Y1 - 2020/4/25

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.

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KW - Embodied interaction

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U2 - 10.1145/3334480.3375163

DO - 10.1145/3334480.3375163

M3 - Conference contribution

T3 - Conference on Human Factors in Computing Systems - Proceedings

BT - CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020

Y2 - 25 April 2020 through 30 April 2020

ER -

Motor memory in HCI

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