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EmoWalker:Emotional Movement Matters In Online Robot-Mediated Communication

Posted on:2019-08-05Degree:MasterType:Thesis
Country:ChinaCandidate:Q ZhuFull Text:PDF
GTID:2428330548479820Subject:Design
Abstract/Summary:PDF Full Text Request
Face-to-face communication is always one of the most effective way we have,to deliver our emotion and build rapport.Nonverbal behavior,such as pitch,facial expressions,and body language,plays a decisive role during such communication.In order to apply the influence of face-to-face communication to nowadays popular remote way,people introduced the Mobile Robot Telepresence into distance communication.Mobile Robot Telepresence is a system that is famous for its ability in video communication and movement,and it is able to create a real sense of existence,which has been widely used already now.However,researcher always focus on the fields like path planning and navigation.So far,few researchers have systematically studied the movement of the robot's body,from a nonverbal behavior perspective,which is the reason why we could not be able to make use of the movement in the long-distance communication,not mention any creative application in reality.As a result,it would be harmful to the development of Mobile Robot Telepresence and human-computer interaction field.Since the movement of the robot's body is the subjective result of the controller,when he is participating in the long-distance communication,if we want to go further in the movements as a nonverbal behavior,it is necessary to introduce human factors,like his or her psychological and emotional statements into the research.Therefore,I would like to systematically study the concept of emotional movement and the possible chance for innovative application,based on my interdisciplinary backgrounds in psychology,computer science and design.The main contributions of the paper include:(1)The work proved that the Mobile Robot Telepresence is effective as well as laid a theoretical foundation for the study of movement,as role of the nonverbal behavior.Based on the study of nonverbal behavior such as body movements,facial expressions and phonetic transcription in the interpersonal communication,this paper proposes the concept of emotional movement in the field of human-computer interaction and Mobile Robot Telepresence.We proved that it is possible to deliver emotions through robot's movement in experiments.What's more,we proved that the movements' effects on emotions are distinguished for different types of emotions.Moreover,the influence of movement is universal in gender.Finally,based on the difference of social personality,we proposed the personality factors that have an effect on the perception of emotional movement.(2)Proposed an innovative application in Mobile Robot Telepresence.In this paper,we studied the possible scenarios for the application of Mobile Robot Telepresence,such as the office environment,medical care,and school education,and put forward the possibility of application in home using,which could make up for the blank in this application field.Finally,EmoWalker was produced and then tested in the real environment,which confirmed the MRP system's ability to fully meet the needs for families' emotional exchange.(3)Proposed an iMRPoved evaluation method for long-distance communication.Based on the home using,we combined the characteristics of the basic emotion,the social emotion as well as the self-emotion with user research results,and we introduced the affective dimension as a new one into the traditional evaluation methods,which is known as similarity and intimacy,in Mobile Robot Telepresence.Finally,we test successfully the feasibility of this affective dimension.For the emotional movement,we hope to try further into expanding more possible nonverbal behaviors,and it is also worthwhile to obtain the experience in dealing with a complex interactive system,including the human-robot interaction,human-computer interaction and human-human interaction.
Keywords/Search Tags:remote communication, movement, robot-mediated communication, nonverbal behavior, human interaction
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