Attentive deskwork support system

Yusuke Tamura, Masao Sugi, Tamio Arai, Jun Ota

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

We propose an attentive deskwork support system that quickly delivers required objects to people who work at desks. To meet this goal, we propose methods to understand a user's request for support. To know the existence of the user request, the system uses the characteristics of the user's hand and eye movements and detects hand-reaching movements. The system understands the content of the user's request by integrating sensory and contextual information using a probabilistic model. Finally, the system determines a point of delivery by predicting a user's hand movement and delivers required objects by using self-moving trays. The experiments are conducted to evaluate the usefulness of the system proposed here.

Original languageEnglish
Pages (from-to)758-769
Number of pages12
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Volume14
Issue number7
DOIs
Publication statusPublished - 2010 Nov
Externally publishedYes

Keywords

  • Attentive user interfaces
  • Deskwork
  • Human-robot interaction

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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