Information capacity of full-body movements

Antti Oulasvirta, Teemu Roos, Arttu Modig, Laura Leppänen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationCHI 2013
Subtitle of host publicationChanging Perspectives, Conference Proceedings - The 31st Annual CHI Conference on Human Factors in Computing Systems
Pages1289-1298
Number of pages10
DOIs
Publication statusPublished - 2013
MoE publication typeA4 Article in a conference publication
EventACM SIGCHI Annual Conference on Human Factors in Computing Systems - Paris, France
Duration: 27 Apr 20132 May 2013
Conference number: 31
http://chi2013.acm.org/

Conference

ConferenceACM SIGCHI Annual Conference on Human Factors in Computing Systems
Abbreviated titleACM CHI
CountryFrance
CityParis
Period27/04/201302/05/2013
Internet address

Keywords

  • Full-body movement
  • Gesture-based interfaces
  • Information capacity
  • Information theory
  • Measurement
  • Throughput

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