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

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

研究成果: Conference contribution

8 被引用数 (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.

ホスト出版物のタイトルPervasive Computing - 7th International Conference, Pervasive 2009, Proceedings
出版ステータスPublished - 2009 7 17
イベント7th International Conference on Pervasive Computing, Pervasive 2009 - Nara, Japan
継続期間: 2009 5 112009 5 14


名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5538 LNCS


Other7th International Conference on Pervasive Computing, Pervasive 2009

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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