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Implicitly and intelligently influencing the interactive experience

Author(s)
O'Grady, Michael J.  
Dragone, Mauro  
Tynan, Richard  
O'Hare, G. M. P. (Greg M. P.)  
Wan, Jie  
Muldoon, Conor  
Uri
http://hdl.handle.net/10197/2941
Date Issued
2011-01
Date Available
2011-05-23T13:37:44Z
Abstract
Enabling intuitive interaction in system design remains an art more than a science. This difficulty is exacerbated when the diversity of device and end user group is considered. In this paper, it is argued
that conventional interaction modalities are unsuitable in many circumstances and that alternative modalities need be considered. Specifically the case of implicit interaction is considered, and the paper discusses how its use may lead to more satisfactory experiences. Specifically, harnessing implicit interaction in conjunction with the traditional explicit interaction modality, can enable a more intuitive and natural interactive experience. However, the exercise of capturing and interpreting implicit interaction is problematic and is one that lends itself to the adoption of AI techniques. In this position paper, the potential of lightweight intelligent agents is proposed as a model for harmonising the explicit and implicit components of an arbitrary interaction.
Sponsorship
Science Foundation Ireland
Type of Material
Book Chapter
Publisher
Springer
Copyright (Published Version)
2011 Springer-Verlag Berlin Heidelberg
Subjects

Implicit interaction

Intelligent agents

Social Signal Process...

Subject – LCSH
Intelligent agents (Computer software)
Human-computer interaction
System design
DOI
10.1007/978-3-642-18181-8_7
Web versions
http://dx.doi.org/10.1007/978-3-642-18181-8_7
Language
English
Status of Item
Peer reviewed
Journal
Dignum, F. (ed.). Agents for games and simulations II : trends in techniques, concepts and design. Lecture notes in artificial intelligence (LNAI), vol. 6525
ISBN
978-3-642-18180-1
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
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chacie_post_proc.pdf

Size

139.61 KB

Format

Adobe PDF

Checksum (MD5)

a301d9efb9327ea8ad3641a9c464a8bc

Owning collection
Computer Science Research Collection
Mapped collections
CLARITY Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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