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NICER : A new and improved consumed endurance and recovery metric to quantify muscle fatigue of mid-air interactions
Li, Yi Tag, Benjamin Dai, Shaozhang Crowther, Robert Dwyer, Tim Irani, Pourang Ens, Barrett
Li, Yi
Tag, Benjamin
Dai, Shaozhang
Crowther, Robert
Dwyer, Tim
Irani, Pourang
Ens, Barrett
Abstract
Natural gestures are crucial for mid-air interaction, but predicting and managing muscle fatigue is challenging. Existing torque-based models are limited in their ability to model above-shoulder interactions and to account for fatigue recovery. We introduce a new hybrid model, NICER, which combines a torque-based approach with a new term derived from the empirical measurement of muscle contraction and a recovery factor to account for decreasing fatigue during rest. We evaluated NICER in a mid-air selection task using two interaction methods with different degrees of perceived fatigue. Results show that NICER can accurately model above-shoulder interactions as well as reflect fatigue recovery during rest periods. Moreover, both interaction methods show a stronger correlation with subjective fatigue measurement (ρ = 0.978/0.976) than a previous model, Cumulative Fatigue (ρ = 0.966/0.923), confirming that NICER is a powerful analytical tool to predict fatigue across a variety of gesture-based interactive applications
Keywords
mid-air interactions, interaction design, endurance, shoulder fatigue, consumed endurance, cumulative fatigue, ergonomics
Date
2024
Type
Journal article
Journal
ACM Transactions on Graphics
Book
Volume
43
Issue
4
Page Range
1-14
Article Number
Article 102
ACU Department
School of Behavioural and Health Sciences
Faculty of Health Sciences
Faculty of Health Sciences
Relation URI
DOI
Source URL
Event URL
Open Access Status
Open access
License
All rights reserved
File Access
Controlled
Notes
Bronze open access.