Inbodied interaction 102: understanding the selection and application of non-invasive neuro-physio measurements for inbodied interaction design
Inbodied interaction 102: understanding the selection and application of non-invasive neuro-physio measurements for inbodied interaction design
As a means to validate the effects of interaction designs, particularly those involving physiological processes, like: breathing in mindfulness; heartrate in exertion games, and blood flow to the brain for cognitive load assessments, HCI researchers are increasingly turning to body-based signals as signals to quantify effects and guide design decisions. These design decisions can be informed by Inbodied Interaction principles of aligning knowledge of how the body performs optimally (physiologically, neurologically) with our designs. The purpose of this course is to present new-to-HCI neuro-physiological measures including peripheral awareness, deep HRV, and new pre-cortical assessments to open new design opportunities. Students will leave the course with this set of new assessments, as well as practical worked examples of how to choose and apply which measures as best suited for a particular design and evaluation context.
Cerebellum, Inbodied interaction, Measurement, Midbrain, Neurology, Performance, Physiology
Association for Computing Machinery
Schraefel, M.C.
ac304659-1692-47f6-b892-15113b8c929f
Tabor, Aaron
21da00a0-d926-4a73-8fc8-6e8cb503b719
Andres, Josh
7d56da52-eb32-4e3e-80cf-dafc04d8340e
25 April 2020
Schraefel, M.C.
ac304659-1692-47f6-b892-15113b8c929f
Tabor, Aaron
21da00a0-d926-4a73-8fc8-6e8cb503b719
Andres, Josh
7d56da52-eb32-4e3e-80cf-dafc04d8340e
Schraefel, M.C., Tabor, Aaron and Andres, Josh
(2020)
Inbodied interaction 102: understanding the selection and application of non-invasive neuro-physio measurements for inbodied interaction design.
Bernhaupt, Regina, Mueller, Florian 'Floyd', Verweij, David and Andres, Josh
(eds.)
In CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems.
Association for Computing Machinery.
5 pp
.
(doi:10.1145/3334480.3375055).
Record type:
Conference or Workshop Item
(Paper)
Abstract
As a means to validate the effects of interaction designs, particularly those involving physiological processes, like: breathing in mindfulness; heartrate in exertion games, and blood flow to the brain for cognitive load assessments, HCI researchers are increasingly turning to body-based signals as signals to quantify effects and guide design decisions. These design decisions can be informed by Inbodied Interaction principles of aligning knowledge of how the body performs optimally (physiologically, neurologically) with our designs. The purpose of this course is to present new-to-HCI neuro-physiological measures including peripheral awareness, deep HRV, and new pre-cortical assessments to open new design opportunities. Students will leave the course with this set of new assessments, as well as practical worked examples of how to choose and apply which measures as best suited for a particular design and evaluation context.
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More information
Published date: 25 April 2020
Venue - Dates:
2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020, , Honolulu, United States, 2020-04-25 - 2020-04-30
Keywords:
Cerebellum, Inbodied interaction, Measurement, Midbrain, Neurology, Performance, Physiology
Identifiers
Local EPrints ID: 500333
URI: http://eprints.soton.ac.uk/id/eprint/500333
PURE UUID: 091f1339-2d96-4b26-afc2-eb44588bf6d0
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Date deposited: 25 Apr 2025 16:38
Last modified: 26 Apr 2025 01:38
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Contributors
Author:
M.C. Schraefel
Author:
Aaron Tabor
Author:
Josh Andres
Editor:
Regina Bernhaupt
Editor:
Florian 'Floyd' Mueller
Editor:
David Verweij
Editor:
Josh Andres
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