• Title/Summary/Keyword: 감정 상호작용

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"Elsa, Why are you in Fear and Anger?": The Power of Magic and Control of Emotion in Frozen ("엘사여, 뭐가 그리 두렵고 분한가?": 『겨울왕국』에서의 마술의 힘과 감정의 통제)

  • Park, Eun Jung
    • Journal of Digital Contents Society
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    • v.17 no.6
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    • pp.613-621
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    • 2016
  • This paper has the first aim to analyze Elsa's magic power of why and how she, as a heroine in the animation of Frozen, is in the emotion of fear and anger. This paper will explain why these two emotions are twisted compound to identify Elsa's iced emotion in the ice kingdom. And secondly, this paper attempts to connect Elsa's fear emotion in her real life is the other flip with that of anger throughout the characters' network in Frozen, which symbolically reflect the feminine pattern of real society that Walt Disney prospects for the dream society. Through the cognitive process for Elsa's ice kingdom between emotion status and social network, we can assume the pattern of social network with emotional chart and the archetype of human emotion through the cognitive-emotional storytelling on the emotion of Elsa in Frozen.

Multi-modal Robot Emotion/Intention Expression using Editing Toolkit (에디팅 툴킷을 이용한 로봇의 멀티모달 감정/의사 표현)

  • Kim, Woo-Hyun;Park, Jeong-Woo;Lee, Won-Hyong;Kim, Won-Hwa;Chung, Myung-Jin
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.1819_1820
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    • 2009
  • 본 논문에서는 로봇의 감정과 의사표현을 위해서 3D모델 기반의 시뮬레이션이 가능한 에디팅 툴킷을 이용하였고, 사람과 로봇의 감정 상호 작용과 로봇이 제공하는 서비스의 구현을 위해서 다양한 멀티모달 표현을 생성하였다. 로봇은 얼굴표정, 그리고 목과 팔의 움직임으로 멀티모달 표현을 하였으며, 멀티모달 감정/의사 표현을 구성하는 각 모달리티별 표현들은 에디팅 툴킷을 통하여 동기화되었다. 이렇게 생성된 로봇의 멀티모달 감정/의사 표현은 DB형태로 저장되고, 이를 재조합하고 수정하여 새로운 표현을 생성할 수 있도록 하였다.

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Speech Emotion Recognition Using Confidence Level for Emotional Interaction Robot (감정 상호작용 로봇을 위한 신뢰도 평가를 이용한 화자독립 감정인식)

  • Kim, Eun-Ho
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.6
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    • pp.755-759
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    • 2009
  • The ability to recognize human emotion is one of the hallmarks of human-robot interaction. Especially, speaker-independent emotion recognition is a challenging issue for commercial use of speech emotion recognition systems. In general, speaker-independent systems show a lower accuracy rate compared with speaker-dependent systems, as emotional feature values depend on the speaker and his/her gender. Hence, this paper describes the realization of speaker-independent emotion recognition by rejection using confidence measure to make the emotion recognition system be homogeneous and accurate. From comparison of the proposed methods with conventional method, the improvement and effectiveness of proposed methods were clearly confirmed.