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)

抄録

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.

本文言語English
ホスト出版物のタイトルPervasive Computing - 7th International Conference, Pervasive 2009, Proceedings
ページ372-389
ページ数18
DOI
出版ステータスPublished - 2009 7 17
外部発表はい
イベント7th International Conference on Pervasive Computing, Pervasive 2009 - Nara, Japan
継続期間: 2009 5 112009 5 14

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5538 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)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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