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abstract

Qviz: visualizer of ramen queues

Published: 17 September 2011 Publication History

Abstract

Waiting in a long queue is a cause of stress which affects people's life, work, and so on. The purpose of this paper is to avoid queues of restaurant during lunch time. To achieve the purpose, we develop a Qviz system which is able to visualize queues of remote restaurants. Users can ask for queue information of any restaurants by using a Qviz client which is implemented on smartphones. By applying a Markov process on historical movement, Qviz server predicts futuristic movement of users and selects potential reporters for the requested restaurant. We have implemented the Qviz system to validate the feasibility as well as usefulness of the system.

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References

[1]
J. Burke, D. Estrin, M. Hansen, A. Parker, N. Ramanathan, S. Reddy, and M. B. Srivastava. Participatory sensing. In Proceedings of the Workshop on World-Sensor-Web (WSW 2006), pages 6--10, Boulder, Colorado, USA, Nov. 2006.
[2]
S. Konomi, N. Thepvilojanapong, R. Suzuki, S. Pirttikangas, K. Sezaki, and Y. Tobe. Askus: Amplifying mobile actions. In Proceedings of the 7th International Conference on Pervasive Computing (Pervasive 2009), pages 202--219, Nara Japan, May 2009.
[3]
D. Maister. The psychology of waiting lines. http://davidmaister.com/pdf/PsycholgyofWaitingLines751.pdf (Accessed: February 23, 2011), 1985.

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Published In

cover image ACM Conferences
UbiComp '11: Proceedings of the 13th international conference on Ubiquitous computing
September 2011
668 pages
ISBN:9781450306300
DOI:10.1145/2030112

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 September 2011

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Author Tags

  1. human queues
  2. movement prediction
  3. qviz
  4. smartphones
  5. visualization

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Ubicomp '11

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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