1,661 research outputs found
A Review of Verbal and Non-Verbal Human-Robot Interactive Communication
In this paper, an overview of human-robot interactive communication is
presented, covering verbal as well as non-verbal aspects of human-robot
interaction. Following a historical introduction, and motivation towards fluid
human-robot communication, ten desiderata are proposed, which provide an
organizational axis both of recent as well as of future research on human-robot
communication. Then, the ten desiderata are examined in detail, culminating to
a unifying discussion, and a forward-looking conclusion
Study of the Importance of Adequacy to Robot Verbal and Non Verbal Communication in Human-Robot interaction
The Robadom project aims at creating a homecare robot that help and assist
people in their daily life, either in doing task for the human or in managing
day organization. A robot could have this kind of role only if it is accepted
by humans. Before thinking about the robot appearance, we decided to evaluate
the importance of the relation between verbal and nonverbal communication
during a human-robot interaction in order to determine the situation where the
robot is accepted. We realized two experiments in order to study this
acceptance. The first experiment studied the importance of having robot
nonverbal behavior in relation of its verbal behavior. The second experiment
studied the capability of a robot to provide a correct human-robot interaction.Comment: the 43rd Symposium on Robotics - ISR 2012, Taipei : Taiwan, Province
Of China (2012
A virtual diary companion
Chatbots and embodied conversational agents show turn based conversation behaviour. In current research we almost always assume that each utterance of a human conversational partner should be followed by an intelligent and/or empathetic reaction of chatbot or embodied agent. They are assumed to be alert, trying to please the user. There are other applications which have not yet received much attention and which require a more patient or relaxed attitude, waiting for the right moment to provide feedback to the human partner. Being able and willing to listen is one of the conditions for being successful. In this paper we have some observations on listening behaviour research and introduce one of our applications, the virtual diary companion
Artificial Intelligence: Robots, Avatars, and the Demise of the Human Mediator
Published in cooperation with the American Bar Association Section of Dispute Resolutio
Confirmation Report: Modelling Interlocutor Confusion in Situated Human Robot Interaction
Human-Robot Interaction (HRI) is an important but challenging field focused on improving the interaction between humans and robots such to make the interaction more intelligent and effective. However, building a natural conversational HRI is an interdisciplinary challenge for scholars, engineers, and designers. It is generally assumed that the pinnacle of human- robot interaction will be having fluid naturalistic conversational interaction that in important ways mimics that of how humans interact with each other. This of course is challenging at a number of levels, and in particular there are considerable difficulties when it comes to naturally monitoring and responding to the userβs mental state. On the topic of mental states, one field that has received little attention to date is moni- toring the user for possible confusion states. Confusion is a non-trivial mental state which can be seen as having at least two substates. There two confusion states can be thought of as being associated with either negative or positive emotions. In the former, when people are productively confused, they have a passion to solve any current difficulties. Meanwhile, people who are in unproductive confusion may lose their engagement and motivation to overcome those difficulties, which in turn may even lead them to drop the current conversation. While there has been some research on confusion monitoring and detection, it has been limited with the most focused on evaluating confusion states in online learning tasks. The central hypothesis of this research is that the monitoring and detection of confusion states in users is essential to fluid task-centric HRI and that it should be possible to detect such confusion and adjust policies to mitigate the confusion in users. In this report, I expand on this hypothesis and set out several research questions. I also provide a comprehensive literature review before outlining work done to date towards my research hypothesis, I also set out plans for future experimental work
Artificial Intelligence: Robots, Avatars, and the Demise of the Human Mediator
Published in cooperation with the American Bar Association Section of Dispute Resolutio
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Όλ¬Έ (μμ¬) -- μμΈλνκ΅ λνμ : μ¬νκ³Όνλν μ¬λ¦¬νκ³Ό, 2021. 2. Sowon Hahn.The present study investigated the role of robotsβ body language on perceptions of social qualities and human-likeness in robots. In experiment 1, videos of a robotβs body language varying in expansiveness were used to evaluate the two aspects. In experiment 2, videos of social interactions containing the body languages in experiment 1 were used to further examine the effects of robotsβ body language on these aspects. Results suggest that a robot conveying open body language are evaluated higher on perceptions of social characteristics and human-likeness compared to a robot with closed body language. These effects were not found in videos of social interactions (experiment 2), which suggests that other features play significant roles in evaluations of a robot. Nonetheless, current research provides evidence of the importance of robotsβ body language in judgments of social characteristics and human-likeness. While measures of social qualities and human-likeness favor robots that convey open body language, post-experiment interviews revealed that participants expect robots to alleviate feelings of loneliness and empathize with them, which require more diverse body language in addition to open body language. Thus, robotic designers are encouraged to develop robots capable of expressing a wider range of motion. By enabling complex movements, more natural communications between humans and robots are possible, which allows humans to consider robots as social partners.λ³Έ μ°κ΅¬λ λ‘λ΄μ μ 체 μΈμ΄κ° μ¬νμ νΉμ±κ³Ό μΈκ°κ³Όμ μ μ¬μ±μ λν μΈκ°μ μΈμμ λ―ΈμΉλ μν₯μ νμνμλ€. μ€ν 1μμλ λ‘λ΄μ κ°λ°©μ μ 체 μΈμ΄κ° λ¬μ¬λ μμκ³Ό νμμ μ 체 μΈμ΄κ° λ¬μ¬λ μμμ ν΅ν΄ μ΄λ¬ν μΈ κ°μ§ μΈ‘λ©΄μ μ΄ν΄λ³΄μλ€. μ€ν 2μμλ μ€ν 1μ μ 체 μΈμ΄κ° ν¬ν¨λ λ‘λ΄κ³Ό μ¬λ κ°μ μνΈμμ© μμμ νμ©νμ¬ λ‘λ΄μ μ 체 μΈμ΄κ° μ λ κ°μ§ μΈ‘λ©΄μ λ―ΈμΉλ μν₯μ νμνμλ€. κ²°κ³Όμ μΌλ‘, μ¬λλ€μ νμμ μ 체 μΈμ΄λ₯Ό νννλ λ‘λ΄μ λΉν΄ κ°λ°©μ μ 체 μΈμ΄λ₯Ό νννλ λ‘λ΄μ μ¬νμ νΉμ±κ³Ό μΈκ°κ³Όμ μ μ¬μ±μ λν μΈμ λ©΄μμ λ λκ² νκ°νλ€λ κ²μ νμΈνμλ€. κ·Έλ¬λ μ¬λκ³Όμ μνΈμμ©μ λ΄μ μμμ ν΅ν΄μλ μ΄λ¬ν ν¨κ³Όκ° λ°κ²¬λμ§ μμμΌλ©°, μ΄λ μ€ν 2μ ν¬ν¨λ μμ± λ±μ λ€λ₯Έ νΉμ§μ΄ λ‘λ΄μ λν νκ°μ μ€μν μν μ νλ€λ κ²μ μμ¬νλ€. κ·ΈλΌμλ λΆκ΅¬νκ³ , λ³Έ μ°κ΅¬λ λ‘λ΄μ μ 체 μΈμ΄κ° μ¬νμ νΉμ± λ° μΈκ°κ³Όμ μ μ¬μ±μ λν μΈμμ μ€μν μμΈμ΄ λλ€λ κ·Όκ±°λ₯Ό μ 곡νλ€. μ¬νμ νΉμ±κ³Ό μΈκ°κ³Όμ μ μ¬μ±μ μ²λμμλ κ°λ°©μ μ 체 μΈμ΄λ₯Ό νννλ λ‘λ΄μ΄ λ λκ² νκ°λμμ§λ§, μ€ν ν μΈν°λ·°μμλ λ‘λ΄μ΄ μΈλ‘μ΄ κ°μ μ μννκ³ κ³΅κ°νκΈ°λ₯Ό κΈ°λνλ κ²μΌλ‘ λνλ μ΄ μν©λ€μ μ μ ν νμμ μ 체 μΈμ΄ λν λ°°μ ν μ μλ€κ³ ν΄μν μ μλ€. μ΄μ λ°λΌ λ³Έ μ°κ΅¬μμλ λ‘λ΄ λμμ΄λλ€μ΄ λμ± λ€μν λ²μμ μμ§μμ ννν μ μλ λ‘λ΄μ κ°λ°νλλ‘ μ₯λ €νλ€. κ·Έλ λ€λ©΄ μ¬μΈν μμ§μμ λ°λ₯Έ μμ°μ€λ¬μ΄ μμ¬μν΅μ ν΅ν΄ μΈκ°μ΄ λ‘λ΄μ μ¬νμ λλ°μλ‘ μΈμν μ μμ κ²μ΄λ€.Chapter 1. Introduction 1
1. Motivation 1
2. Theoretical Background and Previous Research 3
3. Purpose of Study 12
Chapter 2. Experiment 1 13
1. Objective and Hypotheses 13
2. Methods 13
3. Results 21
4. Discussion 31
Chapter 3. Experiment 2 34
1. Objective and Hypotheses 34
2. Methods 35
3. Results 38
4. Discussion 50
Chapter 4. Conclusion 52
Chapter 5. General Discussion 54
References 60
Appendix 70
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Artificial Intelligence: Robots, Avatars and the Demise of the Human Mediator
As technology has advanced, many have wondered whether (or simply when) artificial intelligent devices will replace the humans who perform complex, interactive, interpersonal tasks such as dispute resolution. Has science now progressed to the point that artificial intelligence devices can replace human mediators, arbitrators, dispute resolvers and problem solvers? Can humanoid robots, attractive avatars and other relational agents create the requisite level of trust and elicit the truthful, perhaps intimate or painful, disclosures often necessary to resolve a dispute or solve a problem? This article will explore these questions. Regardless of whether the reader is convinced that the demise of the human mediator or arbitrator is imminent, one cannot deny that artificial intelligence now has the capability to assume many of the responsibilities currently being performed by alternative dispute resolution (ADR) practitioners. It is fascinating (and perhaps unsettling) to realize the complexity and seriousness of tasks currently delegated to avatars and robots. This article will review some of those delegations and suggest how the artificial intelligence developed to complete those assignments may be relevant to dispute resolution and problem solving. βRelational Agents,β which can have a physical presence such as a robot, be embodied in an avatar, or have no detectable form whatsoever and exist only as software, are able to create long term socio-economic relationships with users built on trust, rapport and therapeutic goals. Relational agents are interacting with humans in circumstances that have significant consequences in the physical world. These interactions provide insights as to how robots and avatars can participate productively in dispute resolution processes. Can human mediators and arbitrators be replaced by robots and avatars that not only physically resemble humans, but also act, think, and reason like humans? And to raise a particularly interesting question, can robots, avatars and other relational agents look, move, act, think, and reason even βbetterβ than humans
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