Sarah and Sally: Creating a Likeable and Competent AI Sidekick for a Videogame
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10313413" target="_blank" >RIV/00216208:11320/15:10313413 - isvavai.cz</a>
Result on the web
<a href="http://www.aaai.org/ocs/index.php/AIIDE/AIIDE15/paper/view/11563/11386" target="_blank" >http://www.aaai.org/ocs/index.php/AIIDE/AIIDE15/paper/view/11563/11386</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Sarah and Sally: Creating a Likeable and Competent AI Sidekick for a Videogame
Original language description
Creating reasonable AI for sidekicks in games has proven to be a difficult challenge synthetizing player modelling and cooperative planning, both being problems hard by themselves. In this paper, we experiment with designing around these problems: we propose a cooperative puzzle-platformer game that was designed to look similarly to the mainstream of the genre, but to allow for an easy implementation of a quality sidekick AI, letting us test player reactions to the AI. The game was designed so that it is easy for the AI to find optimal solutions while the problem is relatively hard for a human player. We gathered survey responses from players who played the game online (N=28). While the AI sidekick was reported as likeable and helpful, players still reported greater enjoyment of the game when they were allowed to control the sidekick themselves. These findings indicate that the AI itself is not the only obstacle to truly enjoyable gameplay with an AI sidekick.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Experimental AI in Games: Papers from the 2015 AIIDE Workshop
ISBN
978-1-57735-744-5
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
2-8
Publisher name
AAAI Press
Place of publication
Palo Alto, USA
Event location
Santa Cruz, USA
Event date
Nov 14, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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