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	<title>Comments on: AIIDE Reminder and Agent Workshop CFP</title>
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	<link>http://grandtextauto.org/2007/01/15/aiide-reminder-and-agent-workshop-cfp/</link>
	<description>A group blog about computer narrative, games, poetry, and art.</description>
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		<title>By: michael</title>
		<link>http://grandtextauto.org/2007/01/15/aiide-reminder-and-agent-workshop-cfp/comment-page-1/#comment-106408</link>
		<dc:creator>michael</dc:creator>
		<pubDate>Sat, 27 Jan 2007 19:46:19 +0000</pubDate>
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		<description>AIIDE-07 is pleased to announce the collocation of the following workshop:

The Workshop on Optimizing Player Satisfaction
June 6-8, 2007, Stanford, California
http://www.mip.sdu.dk/~georgios/AIIDE07Workshop

February 24, 2007: Paper submissions
March 13, 2007: Notification of acceptance decision
April 10, 2007: Submission of camera-ready papers

The current state-of-the-art in intelligent game design using AI techniques is mainly focused on generating human-like and intelligent characters. Even though complex behaviors emerge through various adaptive learning techniques, there is generally little further analysis of whether these behaviors contribute to the satisfaction of the player. The implicit hypothesis motivating this research is that intelligent opponent behaviors enable the player to gain more satisfaction from the game. This hypothesis may well be true; however, since no notion of entertainment or enjoyment is explicitly defined, there is therefore little evidence that a specific opponent behavior generates enjoyable games.

The focus of this workshop is on adaptive methodologies based on richer forms of human-machine interaction for augmenting gameplay experiences for the player. We want to encourage dialog among researchers in AI, human-computer interaction, affective computing and psychology disciplines who investigate dissimilar methodologies for improving gameplay experiences. This workshop should yield an understanding of state-of-the-art approaches for capturing and augmenting player satisfaction in games.

Topics relevant to this workshop include, but are not limited to, the following areas:

* Adaptive learning for entertainment augmentation.
* Empirical approaches to entertainment modeling in games.
* Psychological approaches to entertainment capture / Psychology of entertainment.
* Player modeling for optimizing entertainment.
* Player-Game Interaction through biosignals.

The workshop is open to all members of the AI, adaptive behavior, human-computer interaction and psychology community. The workshop will be held as a parallel track at AIIDE-07. Participants must register for AIIDE-07, which will include all conference events, including the workshop. Submissions or requests should be sent to the conference co-chair, Georgios N. Yannakakis (georgios@mip.sdu.dk).</description>
		<content:encoded><![CDATA[<p>AIIDE-07 is pleased to announce the collocation of the following workshop:</p>
<p>The Workshop on Optimizing Player Satisfaction<br />
June 6-8, 2007, Stanford, California<br />
<a href="http://www.mip.sdu.dk/~georgios/AIIDE07Workshop" rel="nofollow">http://www.mip.sdu.dk/~georgios/AIIDE07Workshop</a></p>
<p>February 24, 2007: Paper submissions<br />
March 13, 2007: Notification of acceptance decision<br />
April 10, 2007: Submission of camera-ready papers</p>
<p>The current state-of-the-art in intelligent game design using AI techniques is mainly focused on generating human-like and intelligent characters. Even though complex behaviors emerge through various adaptive learning techniques, there is generally little further analysis of whether these behaviors contribute to the satisfaction of the player. The implicit hypothesis motivating this research is that intelligent opponent behaviors enable the player to gain more satisfaction from the game. This hypothesis may well be true; however, since no notion of entertainment or enjoyment is explicitly defined, there is therefore little evidence that a specific opponent behavior generates enjoyable games.</p>
<p>The focus of this workshop is on adaptive methodologies based on richer forms of human-machine interaction for augmenting gameplay experiences for the player. We want to encourage dialog among researchers in AI, human-computer interaction, affective computing and psychology disciplines who investigate dissimilar methodologies for improving gameplay experiences. This workshop should yield an understanding of state-of-the-art approaches for capturing and augmenting player satisfaction in games.</p>
<p>Topics relevant to this workshop include, but are not limited to, the following areas:</p>
<p>* Adaptive learning for entertainment augmentation.<br />
* Empirical approaches to entertainment modeling in games.<br />
* Psychological approaches to entertainment capture / Psychology of entertainment.<br />
* Player modeling for optimizing entertainment.<br />
* Player-Game Interaction through biosignals.</p>
<p>The workshop is open to all members of the AI, adaptive behavior, human-computer interaction and psychology community. The workshop will be held as a parallel track at AIIDE-07. Participants must register for AIIDE-07, which will include all conference events, including the workshop. Submissions or requests should be sent to the conference co-chair, Georgios N. Yannakakis (georgios@mip.sdu.dk).</p>
]]></content:encoded>
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	<item>
		<title>By: Lettershaper</title>
		<link>http://grandtextauto.org/2007/01/15/aiide-reminder-and-agent-workshop-cfp/comment-page-1/#comment-106053</link>
		<dc:creator>Lettershaper</dc:creator>
		<pubDate>Tue, 16 Jan 2007 20:46:10 +0000</pubDate>
		<guid isPermaLink="false">http://grandtextauto.org/?p=1414#comment-106053</guid>
		<description>I have much enjoyed my walk through your world today; as a poet and an avid reader, I found your site both enriching as well as enlightening...I thank you.</description>
		<content:encoded><![CDATA[<p>I have much enjoyed my walk through your world today; as a poet and an avid reader, I found your site both enriching as well as enlightening&#8230;I thank you.</p>
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