research-article

Quality-driven human-centered approach for service provisioning in ambient environment

Authors:

M. Anwar Hossain,

Abdulmotaleb El SaddikAuthors Info & Claims

HCC '08: Proceedings of the 3rd ACM international workshop on Human-centered computing

Pages 43 - 48

https://doi.org/10.1145/1462027.1462034

Published: 31 October 2008 Publication History

Abstract

In this paper, we emphasize the importance of taking quality issues into account when designing an ambient intelligence system. In particular, we state that the multiple dimensions of quality such as quality of information, quality of service and quality of experience influence the selection of heterogeneous services in an ambient service provisioning scenario. We also show how these quality dimensions are related/in-contrast to each other and how they contribute to the design of a human-centered service provisioning framework, which aims to capture the current context of humans and spontaneously provide services in their ambient environment.

References

[1]

E. Aarts. Ambient intelligence: A multimedia perspective. IEEE MultiMedia, 11(1):12--19, 2004.

Digital Library

[2]

M. Berchtold, C. Decker, T. Riedel, T. Zimmer, and M. Beigl. Using a context quality measure for improving smart appliances. In 27th International Conference on Distributed Computing Systems Workshops, pages 52--57, Toronto, ON, Canada, 2007.

Digital Library

[3]

C. Bisdikian. On sensor sampling and quality of information: A starting point. In Fifth IEEE International Conference on Pervasive Computing and Communications Workshops, pages 279--284, White Plains, NY, USA, March 2007.

Digital Library

[4]

Y. Bu, T. Gu, X. Tao, J. Li, S. Chen, and J. Lu. Managing quality of context in pervasive computing. In Proceedings of the Sixth International Conference on Quality Software (QSIC2006), pages 193--200, Beijing, China, 2006.

Digital Library

[5]

T. Buchholz, A. Kupper, and M. Schiffers. Quality of context: What it is and why we need it. In 10th Workshop of the HP OpenView University Association, Geneva, Switzerland, July 2003.

[6]

A. Campbell, G. Coulson, and D. Hutchison. A quality of service architecture. ACM SIGCOMM Computer Communication Review, 24(2):6--27, 1994.

Digital Library

[7]

K. Ducatel, M. Bogdanowicz, F. Scapolo, J. Leijten, and J.-C. Burgelman. Scenarios for ambient intelligence in 2010. IST advisory group final report, 2001. ftp://ftp.cordis.lu/pub/ist/docs/istagscenarios2010.pdf.

[8]

M.A. Hossain, P.K. Atrey, and A. El Saddik. Gain-based selection of ambient media services in pervasive computing environments. Mobile Networks and Applications. (accepted).

Digital Library

[9]

M.A. Hossain, P.K. Atrey, and A. El Saddik. Modeling quality of information in multi-sensor surveillance systems. In International Workshop on Ambient Intelligence, Media, and Sensing (AIMS2007), pages 11--18, Istanbul, Turkey, April 2007.

Digital Library

[10]

M.A. Hossain, P.K. Atrey, and A. El Saddik. Context-aware QoI computation in multi-sensor systems. In IEEE First IEEE Workshop on Quality of Information (QoI) for Sensor Networks (QoISN2008), Atlanta, Georgia, USA, Sep-Oct. 2008.

[11]

M.S. Hossain and A. El Saddik. A biologically inspired multimedia content repurposing system in heterogeneous environments. Multimedia Systems, 14(3):135--143, 2008.

Digital Library

[12]

A. Jaimes, D. Gatica-Perez, N. Sebe, and T.S. Huang. Guest editors' introduction: Human-centered computing--toward a human revolution. IEEE Computer, 40(5):30--34, 2007.

Digital Library

[13]

A. Jaimes, N. Sebe, and D. Gatica-Perez. Human-centered computing: a multimedia perspective. In 14th annual ACM international conference on Multimedia, pages 855--864, Santa Barbara, CA, USA, 2006.

Digital Library

[14]

R. Jain. Quality of experience. IEEE Multimedia, 11(1):96--95, Jan-March 2004.

Digital Library

[15]

A. Klein. Incorporating quality aspects in sensor data streams. In The ACM first Ph.D. workshop in CIKM, pages 77--84, Lisbon, Portugal, 2007.

Digital Library

[16]

K. Nahrstedt and J.M. Smith. An experimental investigation of issues in end-to-end QoS. In Technical Report MS-CIS-94-08, DSL 76, University of Pennsylvania, February 1994.

[17]

E.F. Nakamura, A.A.F. Loureiro, and A.C. Frery. Information fusion for wireless sensor networks: Methods, models, and classifications. ACM Computing Surveys, 39(3):9, 2007.

Digital Library

[18]

L.A. Rowe and R. Jain. ACM SIGMM retreat report on future directions in multimedia research. ACM Transactions on Multimedia Computing, Communications, and Applications, 1(1):3--13, 2005.

Digital Library

[19]

B. Schilit, N. Adams, and R. Want. Context-aware computing applications. In Mobile Computing Systems and Applications Workshop, pages 85--90, Santa Cruz, CA, USA, 1994.

Digital Library

[20]

M.G. Shafto and R.R. Hoffman. Information fusion for wireless sensor networks: Methods, models, and classifications. IEEE Intelligent Systems, 17(5):10--14, Sept./Oct. 2002.

Digital Library

[21]

M. Siller and J. Woods. QoS arbitration for improving the QoE in multimedia transmission. In International Conference on Visual Information Engineering, pages 238--241, Surrey, UK, July 2003.

[22]

Y. Yang and M.H. Williams. Handling dynamic QoS requirements in a pervasive system. In Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL2006), page 11, Washington, DC, USA, 2006.

Digital Library

Cited By

Nashaat HAhmed ERizk R(2020)IoT Application Placement Algorithm Based on Multi-Dimensional QoE Prioritization Model in Fog Computing EnvironmentIEEE Access10.1109/ACCESS.2020.30032498(111253-111264)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3003249
Pal DTriyason TVaradarajan VZhang X(2019)Quality of Experience Evaluation of Smart-Wearables: A Mathematical Modelling Approach2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW)10.1109/ICDEW.2019.00-32(74-80)Online publication date: Apr-2019
https://doi.org/10.1109/ICDEW.2019.00-32
Pal DVanijja VArpnikanondt CZhang XPapasratorn B(2019)A Quantitative Approach for Evaluating the Quality of Experience of Smart-Wearables From the Quality of Data and Quality of Information: An End User PerspectiveIEEE Access10.1109/ACCESS.2019.29170617(64266-64278)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2917061
Show More Cited By

Index Terms

Quality-driven human-centered approach for service provisioning in ambient environment
1. Human-centered computing
  1. Interaction design
    1. Interaction design process and methods
      1. User centered design

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Published In

cover image ACM Conferences

HCC '08: Proceedings of the 3rd ACM international workshop on Human-centered computing

October 2008

84 pages

ISBN:9781605583204

DOI:10.1145/1462027

General Chairs:
Alejandro Jaimes
Telefonica Research, Spain
,
Daniela Nicklas
University of Oldenburg, Germany
,
Nicu Sebe
University of Amsterdam, The Netherlands

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 31 October 2008

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MM08

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MM08: ACM Multimedia Conference 2008

October 31, 2008

British Columbia, Vancouver, Canada

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Overall Acceptance Rate 48 of 81 submissions, 59%

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Cited By

Nashaat HAhmed ERizk R(2020)IoT Application Placement Algorithm Based on Multi-Dimensional QoE Prioritization Model in Fog Computing EnvironmentIEEE Access10.1109/ACCESS.2020.30032498(111253-111264)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3003249
Pal DTriyason TVaradarajan VZhang X(2019)Quality of Experience Evaluation of Smart-Wearables: A Mathematical Modelling Approach2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW)10.1109/ICDEW.2019.00-32(74-80)Online publication date: Apr-2019
https://doi.org/10.1109/ICDEW.2019.00-32
Pal DVanijja VArpnikanondt CZhang XPapasratorn B(2019)A Quantitative Approach for Evaluating the Quality of Experience of Smart-Wearables From the Quality of Data and Quality of Information: An End User PerspectiveIEEE Access10.1109/ACCESS.2019.29170617(64266-64278)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2917061
Pal DVanijja VVaradarajan V(2018)Quality Provisioning in the Internet of Things EraProceedings of the 10th International Conference on Advances in Information Technology10.1145/3291280.3291790(1-7)Online publication date: 10-Dec-2018
https://dl.acm.org/doi/10.1145/3291280.3291790

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