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

9 Citations (Scopus)


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
Number of pages18
Publication statusPublished - 2009
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


Other7th International Conference on Pervasive Computing, Pervasive 2009

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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