Does context matter ? - A quantitative evaluation in a realworld maintenance scenario

Kai Kunze, Florian Wagner, Ersun Kartal, Ernesto Morales Kluge, Paul Lukowicz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

We describe a systematic, quantitative study of the benefits using context recognition (specifically task tracking) for a wearable maintenance assistance system. A key objective of the work is to do the evaluation in an environment that is as close as possible to a real world setting. To this end, we use actual maintenance tasks on a complex piece of machinery at an industrial site. Subjects for our study are active Zeiss technicians who have an average of 10 years job experience. In a within subject Wizard of Oz study with the interaction modality as the independent variable we compare three interaction modalities: (1) paper based documentation (2) speech controlled head mounted display (HMD) documentation, and context assisted HMD documentation. The study shows that the paper documentation is 50% and the speech only controlled system 30% slower then context. The statistical significance of 99% and 95% respectively (one sided ANOVA test). We also present results of two questionnaires (custom design and standard NASA TLX) that show a clear majority of subjects considered context to be beneficial in one way or the other. At the same time, the questionnaires reveal a certain level of uneasiness with the new modality.

Original languageEnglish
Title of host publicationPervasive Computing - 7th International Conference, Pervasive 2009, Proceedings
Pages372-389
Number of pages18
DOIs
Publication statusPublished - 2009 Jul 17
Externally publishedYes
Event7th International Conference on Pervasive Computing, Pervasive 2009 - Nara, Japan
Duration: 2009 May 112009 May 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5538 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Pervasive Computing, Pervasive 2009
CountryJapan
CityNara
Period09/5/1109/5/14

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Kunze, K., Wagner, F., Kartal, E., Kluge, E. M., & Lukowicz, P. (2009). Does context matter ? - A quantitative evaluation in a realworld maintenance scenario. In Pervasive Computing - 7th International Conference, Pervasive 2009, Proceedings (pp. 372-389). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5538 LNCS). https://doi.org/10.1007/978-3-642-01516-8_25