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Dreaming of adaptive interface agents

Authors:

Anju SharmaAuthors Info & Claims

CHI EA '07: CHI '07 Extended Abstracts on Human Factors in Computing Systems

Pages 2007 - 2012

https://doi.org/10.1145/1240866.1240940

Published: 28 April 2007 Publication History

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Abstract

This interactive project uses the metaphor of human sleep and dreaming to present a novel paradigm that helps address problems in adaptive user interface design. Two significant problems in adaptive interfaces are: interfaces that adapt when a user does not want them to do so, and interfaces where it is hard to understand how it changed during the process of adaptation. In the project described here, the system only adapts when the user allows it to go to sleep long enough to have a dream. In addition, the dream itself is a visualization of the transformation of the interface, so that a person may see what changes have occurred. This project presents an interim stage of this system, in which an autonomous agent collects knowledge about its environment, falls asleep, has dreams, and reconfigures its internal representation of the world while it dreams. People may alter the agent's environment, may prevent it from sleeping by making noise into a microphone, and may observe the dream process that ensues when it is allowed to fall asleep. By drawing on the universal human experience of sleep and dreaming, this project seeks to make adaptive interfaces more effective and comprehensible.

References

[1]

Bunt, A., Conati, C. and McGrenere, J., What role can adaptive support play in an adaptable system? in international conference on Intelligent user interface, (Funchal, Madeira, Portugal, 2004), 117--124.

Digital Library

Google Scholar

[2]

Findlater, L. and McGrenere, J., A comparison of static, adaptive, and adaptable menus. in SIGCHI conference on Human factors in computing systems, (Vienna, Austria, 2004), 89--96.

Digital Library

Google Scholar

[3]

Gemmell, J., Bell, G. and Lueder, R. MyLifeBits: a personal database for everything. Communications of the ACM, 49 (1). 88--95.

Digital Library

Google Scholar

[4]

Jouvet, M. The Paradox of Sleep. MIT Press, 1999.

Google Scholar

[5]

Lem, S. The Princess Ineffabelle. in Hofstadter, D. R. and Dennett, D. C. eds. The Mind's I, Basic Books, New York, 1981, 96--99.

Google Scholar

[6]

McGrenere, J., Baecker, R. M. and Booth, K. S., An evaluation of a multiple interface design solution for bloated software. in SIGCHI conference on Human factors in computing systems, (Minneapolis, Minnesota, USA, 2002), ACM Press, 164--170.

Digital Library

Google Scholar

[7]

Mitchell, J. and Shneiderman, B. Dynamic versus static menus: an exploratory comparison. ACM SIGCHI Bulletin, 29 (4). 33--37.

Digital Library

Google Scholar

[8]

Reeves, B. and Nass, C. The Media Equation. Cambridge University Press, Cambridge, 1996.

Digital Library

Google Scholar

[9]

Schön, D. The Reflective Prectitioner: How Professionals Think in Action. Basic Books, New York, 1983.

Google Scholar

[10]

Sterling, B., Keynote Talk: Spime Meme Map. in UBICOMP 2006, (Orange County, CA, 2006).

Google Scholar

[11]

Sukaviriya, P. N. and Foley, J. D., Supporting adaptive interfaces in a knowledge-based user interface environment. in 1st international conference on Intelligent user interfaces, (orlando, Florida, United States, 1993), ACM Press, 107--113.

Digital Library

Google Scholar

[12]

Tomlinson, B., Yau, M. L., O'Connell, J., Williams, K. and Yamaoka, S., The Virtual Raft Project: A Mobile Interface for Interacting with Communities of Autonomous Characters. in Conference Abstracts and Applications, ACM Conference On Human Factors In Computing Systems (CHI 2005), (Portland, OR, 2005).

Digital Library

Google Scholar

Cited By

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Bresó AMartínez-Miranda JFuster-García EGarcía-Gómez J(2016)A novel approach to improve the planning of adaptive and interactive sessions for the treatment of Major DepressionInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2015.11.00387:C(80-91)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1016/j.ijhcs.2015.11.003
Hou MZhu HZhou MArrabito R(2015)Advances and Challenges in Intelligent Adaptive Interface DesignContemporary Issues in Systems Science and Engineering10.1002/9781119036821.ch11(367-424)Online publication date: 7-Apr-2015
https://doi.org/10.1002/9781119036821.ch11
Hou MBanbury SBurns C(2014)Overview of Intelligent Adaptive SystemsIntelligent Adaptive Systems10.1201/b17742-4(31-66)Online publication date: 5-Nov-2014
https://doi.org/10.1201/b17742-4
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Index Terms

Dreaming of adaptive interface agents
1. Computing methodologies
  1. Computer graphics
    1. Animation
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms

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Published In

CHI EA '07: CHI '07 Extended Abstracts on Human Factors in Computing Systems

April 2007

1286 pages

ISBN:9781595936424

DOI:10.1145/1240866

Conference Chair:
Mary Beth Rosson
The Pennsylvania State University, USA
,
Program Chair:
David Gilmore
Intel, USA

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 April 2007

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CHI07

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CHI07: CHI Conference on Human Factors in Computing Systems

April 28 - May 3, 2007

CA, San Jose, USA

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CHI EA '07 Paper Acceptance Rate 212 of 582 submissions, 36%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

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Bresó AMartínez-Miranda JFuster-García EGarcía-Gómez J(2016)A novel approach to improve the planning of adaptive and interactive sessions for the treatment of Major DepressionInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2015.11.00387:C(80-91)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1016/j.ijhcs.2015.11.003
Hou MZhu HZhou MArrabito R(2015)Advances and Challenges in Intelligent Adaptive Interface DesignContemporary Issues in Systems Science and Engineering10.1002/9781119036821.ch11(367-424)Online publication date: 7-Apr-2015
https://doi.org/10.1002/9781119036821.ch11
Hou MBanbury SBurns C(2014)Overview of Intelligent Adaptive SystemsIntelligent Adaptive Systems10.1201/b17742-4(31-66)Online publication date: 5-Nov-2014
https://doi.org/10.1201/b17742-4
Hou MZhu HZhou MArrabito G(2011)Optimizing Operator–Agent Interaction in Intelligent Adaptive Interface DesignIEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews10.1109/TSMCC.2010.205204141:2(161-178)Online publication date: 1-Mar-2011
https://dl.acm.org/doi/10.1109/TSMCC.2010.2052041

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