【摘要】： 情緒在人類的日常行為和感官體驗中處于核心地位,人類與當(dāng)前智能機器的最大區(qū)別就在于人類具有產(chǎn)生情緒的能力。不斷發(fā)展的情緒理論有力地支持了計算機科學(xué)中人工智能領(lǐng)域的研究。越來越多的人工智能學(xué)者認識到,為了實現(xiàn)計算機“擬人化”的美好夢想,僅僅使其具有智能是遠遠不夠的,還必須讓計算機理解并具有類似人類的情緒,能與人進行情感的交互。 本文主要研究人工情感的理論和情感計算的實現(xiàn)方法,設(shè)計了一個具有個性的虛擬人情感模型,并開發(fā)了相應(yīng)的系統(tǒng)。該系統(tǒng)主要包括:(1)文本處理與響應(yīng)產(chǎn)生模塊:采用人工智能與自然語言理解的相關(guān)技術(shù)提取用戶輸入的文本中的情感信息;(2)性格模型:采用人格特質(zhì)的五因子模型定義虛擬人的性格空間,依據(jù)設(shè)定的性格類型,結(jié)合當(dāng)前的情感狀態(tài),采用貝葉斯推理規(guī)則得到下一時刻的情感狀態(tài);(3)情感—情緒模塊:結(jié)合由前兩個模塊獲得的情感信息,定義了情緒轉(zhuǎn)移矩陣,計算每一種情緒的轉(zhuǎn)移概率,并把其中概率的最大者作為下一時刻的情緒狀態(tài);(4)同步模塊:主要給出從情緒狀態(tài)到表情的映射。當(dāng)兩種情緒的概率都大于閾值時,同步模塊決定對這種情況的取舍,并決定在過渡情緒之間出現(xiàn)什么樣的表情。 最后編程實現(xiàn)了這個情感虛擬人交互系統(tǒng)。對系統(tǒng)測試結(jié)果的分析表明,由這個模型模擬的情感反應(yīng)是符合人類情感行為規(guī)律的,驗證了本文所提出的情感計算的模型。
[Abstract]:Emotion is at the core of human daily behavior and sensory experience. The greatest difference between human beings and current intelligent machines lies in the ability of human beings to produce emotions. The evolving emotional theory supports research in the field of artificial intelligence in computer science. More and more artificial intelligence scholars realize that in order to realize the beautiful dream of "humanization" of computers, it is not enough to make them intelligent, but also to make computers understand and have a similar human emotion. Be able to interact emotionally with people. In this paper, the theory of artificial emotion and the realization method of emotion calculation are studied, a virtual human emotion model with personality is designed, and the corresponding system is developed. The system mainly includes: (1) text processing and response generation module: using artificial intelligence and natural language understanding technology to extract emotional information from the text input by users; (2) Personality model: the five-factor model of personality trait is used to define the personality space of virtual human. According to the set personality type and the current emotional state, Bayesian reasoning rule is used to obtain the emotional state of the next moment; (3) emotion-emotion module: according to the emotional information obtained from the first two modules, the emotional transfer matrix is defined, the probability of each emotion is calculated, and the highest probability is regarded as the emotional state at the next moment; (4) synchronization module: the mapping from emotional state to expression is given. When the probability of both emotions is greater than the threshold, the synchronization module determines the choice of the situation and the expression between the transition emotions. Finally, the virtual human interaction system is realized by programming. The analysis of the system test results shows that the emotional response simulated by this model is in accordance with the human affective behavior law and verifies the emotional calculation model proposed in this paper.
【學(xué)位授予單位】：上海師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2008
【分類號】：TP181

【引證文獻】

相關(guān)期刊論文 前1條

1 趙涓涓;楊建峰;陳俊杰;王玉友;;基于情緒認知評價理論和Q-learning的人機交互中情感決策[J];太原理工大學(xué)學(xué)報;2012年06期

相關(guān)碩士學(xué)位論文 前2條

1 王若琳;電視人物專訪節(jié)目中的心理互動[D];吉林大學(xué);2011年

2 王玉友;基于情緒認知評價理論的人機交互中情感交互研究[D];太原理工大學(xué);2012年

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本文編號：2305143