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extended-abstract

Designing More Robust Ubiquitous Systems

Published: 05 September 2016 Publication History

Abstract

This paper addresses the issue of uncertainty in ubiquitous computing applications, from a user's perspective. It exposes the difficulties users meet for recovering from system errors (recognition, perception and interpretation errors). It shows that in ubiquitous computing, error handling difficulty is exacerbated by systems characteristics such as the unobtrusiveness and the invisibility of the devices, and the users' lack of control and awareness about the pervasive environment. The paper then discusses how adapting good interface design practices to ubiquitous computing applications can improve their robustness to system errors. Good practices include adopting a more user-centred design approach, providing a system image, and making ubiquitous applications more predictable in order to facilitate the emergence of adequate user mental models.

References

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M.L. Bourguet. 2006. Towards a taxonomy of error handling strategies in recognition-based multimodal human-computer interfaces, Signal Processing journal, Vol. 86, No 12, 3625--3643.
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M.L. Bourguet. 2008. Handling uncertainty in pervasive computing applications, Computer Communications journal 31, 18, 4234--4241.
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L. Ciarletta and A. Dima. 2000. A conceptual model for pervasive computing, Proc. International Workshop on Parallel Processing.
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S. Dobson and P. Nixon. 2004. More principled design of pervasive computing systems, Proc. Engineering for Human--Computer Interaction and Design, Specification and Verification of Interactive Systems, 292--305.
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K. Leichtenstern and E Andre. 2008. User-centred development of mobile interfaces to a pervasive computing environment, Proc. First International Conference on Advances in Computer--Human Interaction, 114--119.
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J. Mercadal, Q. Enard, C. Cosel, and N.A. Loriant. 2010. Domain-specific approach to architecturing error handling in pervasive computing, Proc. OOPSLA'10, ACM Press, 47--61.
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D.A. Norman. 1983. Some observations on Mental Models, In D. Gentner and A.L. Stevens, Eds. Mental Models, Lawrence Erlbaum Associates Inc, 7--14.
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Cited By

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  • (2017)Modeling and Provisioning IoT Cloud Systems for Testing UncertaintiesProceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.1145/3144457.3144490(96-105)Online publication date: 7-Nov-2017

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ECCE '16: Proceedings of the European Conference on Cognitive Ergonomics
September 2016
193 pages
ISBN:9781450342445
DOI:10.1145/2970930
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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  • EACE: European Association for Cognitive Ergonomics

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 September 2016

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Author Tags

  1. User uncertainty
  2. error handling
  3. mental models
  4. passive modes
  5. system errors
  6. ubiquitous computing applications

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  • Extended-abstract
  • Research
  • Refereed limited

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ECCE '16
ECCE '16: European Conference on Cognitive Ergonomics
September 5 - 8, 2016
Nottingham, United Kingdom

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ECCE '16 Paper Acceptance Rate 27 of 37 submissions, 73%;
Overall Acceptance Rate 56 of 91 submissions, 62%

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Cited By

View all
  • (2017)Modeling and Provisioning IoT Cloud Systems for Testing UncertaintiesProceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.1145/3144457.3144490(96-105)Online publication date: 7-Nov-2017

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