• Title/Summary/Keyword: 로봇과의 협업의도

Search Result 3, Processing Time 0.018 seconds

The Effects of Users' Self-Reference of The Comparative Domain with Creative AI Robot in Music Composition on Their Envy toward Robot, Cognitive Assessment of Music and Intention to Work with Robot (인공지능 로봇과의 비교영역 자기관련성이 사용자의 시기심, 음악 창작물에 대한 평가 및 로봇과의 협업의도에 미치는 영향)

  • Lee, Doohwang;Kim, Yujin
    • The Journal of the Korea Contents Association
    • /
    • v.20 no.5
    • /
    • pp.79-89
    • /
    • 2020
  • The current study explored if users' self-relevance of the comparison domain with creative AI robot in music composition affected their envy toward the robot, cognitive assessment toward the music and intention toward working with robot in future. This study conducted a 2 (degree of self-relevance: high(college students majoring in music) vs. low(those not majoring in music) × 2 (working type: robot-only vs. robot-human collaboration) between-subjects factorial design experiment. The findings revealed that those majoring in music did not feel envious of the robot as much as those not majoring in music. However, compared to those not majoring in music, those majoring in music evaluated the robot's creativity lower, had more negative attitude toward the music, showed less intention to use the music and work with the robots in future. No interaction between the degree of self-relevance and the working type was found.

행위가독성(Legibility)을 고려한 인간-로봇 상호작용 기술 동향

  • Jang, Min-Su;Kim, Jae-Hong
    • Information and Communications Magazine
    • /
    • v.33 no.8
    • /
    • pp.44-50
    • /
    • 2016
  • 로봇의 활동 영역이 사람의 활동 영역과 점점 더 크게 겹쳐지면서 로봇이 사람과 무리없이 공존하는데 필요한 기술에 대한 요구가 심화되고 있다. 행위가독성은 겉으로 드러난 로봇의 행위를 기반으로 얼마나 쉽고 빠르게 로봇의 행위 의도를 판단할 수 있는지를 나타내는 지표로서 로봇과 상호작용하는 사람의 심리적이고 물리적인 부담을 최소화하는데 결정적인 요소로 받아들여지고 있다. 많은 연구를 통해 로봇 행위의 가독성이 높으면 사람이 더 빠르고 명료하게 로봇의 의도를 인지할 수 있고 그 결과 사람의 안전과 심리적 안정이 향상될 뿐 아니라 사람과 로봇 간 협업의 효율도 높아진다는 사실이 밝혀졌다. 이 글에서는 행위가독성의 개념을 소개하고 행위가독성을 향상하는 대표적 연구 사례들을 살펴본다.

Variable Impedance Control and Fuzzy Inference Based Identification of User Intension for Direct Teaching of a Mobile Robot (이동로봇의 직접교시를 위한 가변 임피던스제어와 퍼지추론 기반 사용자 의도 파악)

  • Ko, Jong Hyeon;Bae, Jang Ho;Hong, Daehie
    • Journal of the Korean Society for Precision Engineering
    • /
    • v.33 no.8
    • /
    • pp.647-654
    • /
    • 2016
  • Controlling a mobile robot using conventional control devices requires skill and experience, and is not intuitive, especially in complex environments. For human-mobile robot cooperation, the direct-teaching method with impedance control has been used most frequently in complex environments. This thesis proposes a new direct-teaching method for a mobile robot utilizing variable impedance control. This includes analysis of user intention, which is changed by force and moment. A fuzzy inference technique is proposed in this thesis for identification of user intension. The direct teaching of a mobile robot based on variable impedance control through fuzzy inference is experimentally verified by comparing its efficiency to that of the conventional impedance control-based direct teaching of a mobile robot. Experimental data, such as the total time consumed, path error time, and the total energy used by the user, were recorded. The results showed that the efficiency of variable impedance control was increased.