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http://dx.doi.org/10.7472/jksii.2012.13.2.87

Agent's Activities based Intention Recognition Computing  

Kim, Jin-Ok (대구한의대학교 국제문화정보대학 모바일콘텐츠학부)
Publication Information
Journal of Internet Computing and Services / v.13, no.2, 2012 , pp. 87-98 More about this Journal
Abstract
Understanding agent's intent is an essential component of the human-computer interaction of ubiquitous computing. Because correct inference of subject's intention in ubiquitous computing system helps particularly to understand situations that involve collaboration among multiple agents or detection of situations that can pose a particular activity. This paper, inspired by people have a mechanism for interpreting one another's actions and for inferring the intentions and goals that underlie action, proposes an approach that allows a computing system to quickly recognize the intent of agents based on experience data acquired through prior capabilities of activities recognition. To proceed intention recognition, proposed method uses formulations of Hidden Markov Models (HMM) to model a system's prior experience and agents' action change, then makes for system infer intents in advance before the agent's actions are finalized while taking the perspective of the agent whose intent should be recognized. Quantitative validation of experimental results, while presenting an accurate rate, an early detection rate and a correct duration rate with detecting the intent of several people performing various activities, shows that proposed research contributes to implement effective intent recognition system.
Keywords
Intent Inference; Activity Recognition; Human Computer Interaction; Hidden Markov Model;
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