大脳小脳連関に着目した人型エージェントの表情動作に対する異常検知過程を説明する定性的計算モデルの提案

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  • The qualitative model for cortico-cerebellar system generating error detection toward a facial expression of humanlike agent
  • ダイノウ ショウノウ レンカン ニ チャクモク シタ ジンガタ エージェント ノ ヒョウジョウ ドウサ ニ タイスル イジョウ ケンチ カテイ オ セツメイ スル テイセイテキ ケイサン モデル ノ テイアン

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<p>The uncanny valley is a great issue in the implementation of facial expression to a human-like agent. Recent studies are giving an explanation for this negatively emotional response to the agent from the perspective of \prediction error," the contradictory to their prediction that an agent should be a human. We hypothesized that that prediction error caused the negative affect of the facial expression of the agent, such as its eerie smile, as well. The qualitative computational model was proposed, providing an explanation for how human predicts the other's facial movement of the facial expression, based on cerebellar function. As a result, the rapid emotional processing was required and the thalamus was expected to play an essential role in it.</p>

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