We present a novel metric for information capacity of full-body movements. It accommodates HCI scenarios involving continuous movement of multiple limbs. Throughput is calculated as mutual information in repeated motor sequences. It is affected by the complexity of movements and the precision with which an actor reproduces them. Computation requires decorrelating co-dependencies of movement features (e.g., wrist and elbow) and temporal alignment of sequences. HCI researchers can use the metric as an analysis tool when designing and studying user interfaces.
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The paper (PDF, 8.9 MB) CHI '13 Materials: Code: Example Data: |
Antti Oulasvirta, Teemu Roos, Arttu Modig, Laura Leppänen
Information Capacity of Full-Body Movements
CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2013
@inproceedings{Oulasvirta:2013:ICF:2470654.2466169,
author = {Oulasvirta, Antti and Roos, Teemu and Modig, Arttu and Lepp\"{a}nen, Laura},
title = {Information capacity of full-body movements},
booktitle = {Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
series = {CHI '13},
year = {2013},
isbn = {978-1-4503-1899-0},
location = {Paris, France},
pages = {1289--1298},
numpages = {10},
url = {http://doi.acm.org/10.1145/2470654.2466169},
doi = {10.1145/2470654.2466169},
acmid = {2466169},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {full-body movement, gesture-based interfaces, information capacity, information theory, measurement, throughput},
}
M. Sherman, G. Clark, Y. Yang, S. Sugrim, A. Modig, J. Lindqvist, A. Oulasvirta, and T. Roos
User-generated free-form gestures for authentication: security and memorability
MobiSys '14: Proceedings of the 12th Annual International Conference on Mobile systems, Applications, and Services, 2014
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