<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>3</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>O'Grady, Michael J.</AUTHOR>
		<AUTHOR>Dragone, Mauro</AUTHOR>
		<AUTHOR>Tynan, Richard</AUTHOR>
		<AUTHOR>O'Hare, G. M. P (Greg M. P.)</AUTHOR>
		<AUTHOR>Wan, Jie</AUTHOR>
		<AUTHOR>Muldoon, Conor</AUTHOR>
	</AUTHORS>
	<YEAR>2010</YEAR>
	<TITLE>Implicitly influencing the interactive experience</TITLE>
	<SECONDARY_TITLE>In: Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS2010)</SECONDARY_TITLE>
	<PLACE_PUBLISHED>Toronto Canada</PLACE_PUBLISHED>
	<DATE>10 May 2010</DATE>
	<KEYWORDS>
		<KEYWORD>RP3</KEYWORD>
	</KEYWORDS>
	<ABSTRACT>&lt;p&gt;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.&lt;/p&gt;</ABSTRACT>
	<URL>http://irserver.ucd.ie/dspace/handle/10197/2104</URL>
</RECORD>
</RECORDS></XML>