Mood Calculating Method for Speech Interface Agent by using Emotion Generating Calculation Method and Mental State Transition Network

Mera, Kazuya; Ichimura, Tsuyoshi; Kurosawa, Yuko; Takezawa, Toshiyuki

doi:10.3156/jsoft.22.10

Cited by 9 publications

(10 citation statements)

References 8 publications

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“…The assumption of discrete emotion state is that human emotion is classified into some kinds of stable discrete states, called "mental state," and the variance of emotions occurs in the transition from a state to the other state with an arbitrary probability. Mera and Ichimura [6], [7] developed a computer agent that can transit a mental state in MSTN to the other state according to the kinds of emotion generated by EGC. The strength of emotion and the type of the aroused emotion by EGC arouses the transition of mental states [6].…”

Section: Introductionmentioning

confidence: 99%

Affective recommendation system for tourists by using Emotion Generating Calculations

Ichimura¹,

Tachibana

2014

2014 IEEE 7th International Workshop on Computational Intelligence and Applications (IWCIA)

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An emotion orientated intelligent interface consists of Emotion Generating Calculations (EGC) and Mental State Transition Network (MSTN). We have developed the Android EGC application software which the agent works to evaluate the feelings in the conversation. In this paper, we develop the tourist information system which can estimate the user's feelings at the sightseeing spot. The system can recommend the sightseeing spot and the local food corresponded to the user's feeling. The system calculates the recommendation list by the estimate function which consists of Google search results, the important degree of a term at the sightseeing website, and the the aroused emotion by EGC. In order to show the effectiveness, this paper describes the experimental results for some situations during Hiroshima sightseeing.

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Section: Introductionmentioning

confidence: 99%

Affective recommendation system for tourists by using Emotion Generating Calculations

Ichimura¹,

Tachibana

2014

2014 IEEE 7th International Workshop on Computational Intelligence and Applications (IWCIA)

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“…Mera and Ichimura [6], [7] developed a computer agent that can transit a mental state in MSTN based on analysis of emotion by EGC method. EGC calculates emotion and the type of the aroused emotion is used to transit mental state [6].…”

Section: Introductionmentioning

confidence: 99%

Emotion orientated recommendation system for Hiroshima tourist by fuzzy Petri Net

Ichimura

Tachibana

2013

2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA)

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We developed an Android Smartophone application software for tourist information system. Especially, the agent system recommends the sightseeing spot and local hospitality corresponding to the current feelings. The system such as concierge can estimate user's emotion and mood by Emotion Generating Calculations and Mental State Transition Network. In this paper, the system decides the next candidates for spots and foods by the reasoning of fuzzy Petri Net in order to make more smooth communication between human and smartphone. The system was developed for Hiroshima Tourist Information and described some hospitality about the concierge system.

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Section: Introductionmentioning

confidence: 99%

An estimation of favorite value in emotion generating calculation by Fuzzy Petri Net

Ichimura

Tanabe

2013

2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA)

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Emotion Generating Calculations (EGC) method based on the Emotion Eliciting Condition Theory can decide whether an event arouses pleasure or not and quantify the degree under the event. An event in the form of Case Frame representation is classified into 12 types of calculations. However, the weak point in EGC is Favorite Value (F V ) as the personal taste information. In order to improve the problem, this paper challenges to establish a learning method to learn speaker's taste information from dialog. Especially, the learning method employs Fuzzy Petri Net to find an appropriate F V to a word which has the unknown F V . This paper discusses the effective learning method to improve a weak point of EGC when a missing value of F V exists.

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Mood Calculating Method for Speech Interface Agent by using Emotion Generating Calculation Method and Mental State Transition Network

Cited by 9 publications

References 8 publications

Affective recommendation system for tourists by using Emotion Generating Calculations

Affective recommendation system for tourists by using Emotion Generating Calculations

Emotion orientated recommendation system for Hiroshima tourist by fuzzy Petri Net

An estimation of favorite value in emotion generating calculation by Fuzzy Petri Net

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