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Arrow tag: a direction-key-based technique for rapidly selecting hyperlinks while gazing at a screen

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Published:04 April 2009Publication History

ABSTRACT

Television sets and video game consoles equipped with a web browser have appeared, and we are now able to browse web pages on television screens. However, existing navigation techniques are too difficult in this situation. In this paper, we propose Arrow Tag, a new link selection technique for web browsers on TV. In this technique, sequences of arrow signs called Arrow Tags are assigned to the links of the web pages, so users can select the links by pushing the four direction keys a few times, while keeping her/his gaze fixed on the television screen. User studies show that Arrow Tag significantly outperforms the conventional techniques of Focus Move and Number Tag. Moreover, most participants preferred Arrow Tag over either Focus Move or Number Tag.

References

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  3. M. Hachet, et al.,"Jump and Refine for rapid pointing on mobile phones. In Proc. CHI '07, pages 167--170. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. S. C. Lim, et al., Effective interaction techniques for moving cursor using a remote control. In Proc. CHI '04, page 1542. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. T. Paek, et al., Toward universal mobile interaction for shared displays. In Proc. CSCW '04, pages 266--269. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. D. C. Robbins, et al., ZoneZoom: map navigation for smartphones with recursive view segmentation. In Proc. AVI '04, pages 231--234. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. http://www.playstation.com/Google ScholarGoogle Scholar

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  1. Arrow tag: a direction-key-based technique for rapidly selecting hyperlinks while gazing at a screen

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      • Published in

        cover image ACM Conferences
        CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
        April 2009
        2426 pages
        ISBN:9781605582467
        DOI:10.1145/1518701

        Copyright © 2009 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 4 April 2009

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        Acceptance Rates

        CHI '09 Paper Acceptance Rate277of1,130submissions,25%Overall Acceptance Rate6,199of26,314submissions,24%

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