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Implicitly influencing the interactive experience
Date Issued
2010-05-10
Date Available
2010-06-23T14:11:15Z
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.
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
Conference Publication
Subject – LCSH
Intelligent agents (Computer software)
Human-computer interaction
System design
Language
English
Status of Item
Peer reviewed
Conference Details
Presented at the International Workshop on Collaborative Human/AI Control for Interactive Experiences (CHACIE 2010), at the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS2010), Toronto Canada, May 10 2010
This item is made available under a Creative Commons License
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aamas2010_OGrady.pdf
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