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    ๋กœ๋ด‡์˜ ๊ณ ๊ฐœ๋ฅผ ์›€์ง์ด๋Š” ๋™์ž‘๊ณผ ํƒ€์ด๋ฐ์ด ์ธ๊ฐ„๊ณผ ๋กœ๋ด‡์˜ ์ƒํ˜ธ์ž‘์šฉ์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์ธ๋ฌธ๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ์ธ์ง€๊ณผํ•™์ „๊ณต, 2023. 2. Sowon Hahn.In recent years, robots with artificial intelligence capabilities have become ubiquitous in our daily lives. As intelligent robots are interacting closely with humans, social abilities of robots are increasingly more important. In particular, nonverbal communication can enhance the efficient social interaction between human users and robots, but there are limitations of behavior expression. In this study, we investigated how minimal head movements of the robot influence human-robot interaction. We newly designed a robot which has a simple shaped body and minimal head movement mechanism. We conducted an experiment to examine participants' perception of robots different head movements and timing. Participants were randomly assigned to one of three movement conditions, head nodding (A), head shaking (B) and head tilting (C). Each movement condition included two timing variables, prior head movement of utterance and simultaneous head movement with utterance. For all head movement conditions, participants' perception of anthropomorphism, animacy, likeability and intelligence were higher compared to non-movement (utterance only) condition. In terms of timing, when the robot performed head movement prior to utterance, perceived naturalness was rated higher than simultaneous head movement with utterance. The findings demonstrated that head movements of the robot positively affects user perception of the robot, and head movement prior to utterance can make human-robot conversation more natural. By implementation of head movement and movement timing, simple shaped robots can have better social interaction with humans.์ตœ๊ทผ ์ธ๊ณต์ง€๋Šฅ ๋กœ๋ด‡์€ ์ผ์ƒ์—์„œ ํ”ํ•˜๊ฒŒ ์ ‘ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฒƒ์ด ๋˜์—ˆ๋‹ค. ์ธ๊ฐ„๊ณผ์˜ ๊ต๋ฅ˜๊ฐ€ ๋Š˜์–ด๋‚จ์— ๋”ฐ๋ผ ๋กœ๋ด‡์˜ ์‚ฌํšŒ์  ๋Šฅ๋ ฅ์€ ๋” ์ค‘์š”ํ•ด์ง€๊ณ  ์žˆ๋‹ค. ์ธ๊ฐ„๊ณผ ๋กœ๋ด‡์˜ ์‚ฌํšŒ์  ์ƒํ˜ธ์ž‘์šฉ์€ ๋น„์–ธ์–ด์  ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜์„ ํ†ตํ•ด ๊ฐ•ํ™”๋  ์ˆ˜ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋กœ๋ด‡์€ ๋น„์–ธ์–ด์  ์ œ์Šค์ฒ˜์˜ ํ‘œํ˜„์— ์ œ์•ฝ์„ ๊ฐ–๋Š”๋‹ค. ๋˜ํ•œ ๋กœ๋ด‡์˜ ์‘๋‹ต ์ง€์—ฐ ๋ฌธ์ œ๋Š” ์ธ๊ฐ„์ด ๋ถˆํŽธํ•œ ์นจ๋ฌต์˜ ์ˆœ๊ฐ„์„ ๊ฒฝํ—˜ํ•˜๊ฒŒ ํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ๋กœ๋ด‡์˜ ๊ณ ๊ฐœ ์›€์ง์ž„์ด ์ธ๊ฐ„๊ณผ ๋กœ๋ด‡์˜ ์ƒํ˜ธ์ž‘์šฉ์— ์–ด๋–ค ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€ ์•Œ์•„๋ณด์•˜๋‹ค. ๋กœ๋ด‡์˜ ๊ณ ๊ฐœ ์›€์ง์ž„์„ ํƒ๊ตฌํ•˜๊ธฐ ์œ„ํ•ด ๋‹จ์ˆœํ•œ ํ˜•์ƒ๊ณผ ๊ณ ๊ฐœ๋ฅผ ์›€์ง์ด๋Š” ๊ตฌ์กฐ๋ฅผ ๊ฐ€์ง„ ๋กœ๋ด‡์„ ์ƒˆ๋กญ๊ฒŒ ๋””์ž์ธํ•˜์˜€๋‹ค. ์ด ๋กœ๋ด‡์„ ํ™œ์šฉํ•˜์—ฌ ๋กœ๋ด‡์˜ ๋จธ๋ฆฌ ์›€์ง์ž„๊ณผ ํƒ€์ด๋ฐ์ด ์ฐธ์—ฌ์ž์—๊ฒŒ ์–ด๋–ป๊ฒŒ ์ง€๊ฐ๋˜๋Š”์ง€ ์‹คํ—˜ํ•˜์˜€๋‹ค. ์ฐธ์—ฌ์ž๋“ค์€ 3๊ฐ€์ง€ ์›€์ง์ž„ ์กฐ๊ฑด์ธ, ๋„๋•์ž„ (A), ์ขŒ์šฐ๋กœ ์ €์Œ (B), ๊ธฐ์šธ์ž„ (C) ์ค‘ ํ•œ ๊ฐ€์ง€ ์กฐ๊ฑด์— ๋ฌด์ž‘์œ„๋กœ ์„ ์ •๋˜์—ˆ๋‹ค. ๊ฐ๊ฐ์˜ ๊ณ ๊ฐœ ์›€์ง์ž„ ์กฐ๊ฑด์€ ๋‘ ๊ฐ€์ง€ ํƒ€์ด๋ฐ(์Œ์„ฑ๋ณด๋‹ค ์•ž์„  ๊ณ ๊ฐœ ์›€์ง์ž„, ์Œ์„ฑ๊ณผ ๋™์‹œ์— ์ผ์–ด๋‚˜๋Š” ๊ณ ๊ฐœ ์›€์ง์ž„)์˜ ๋ณ€์ˆ˜๋ฅผ ๊ฐ–๋Š”๋‹ค. ๋ชจ๋“  ํƒ€์ž…์˜ ๊ณ ๊ฐœ ์›€์ง์ž„์—์„œ ์›€์ง์ž„์ด ์—†๋Š” ์กฐ๊ฑด๊ณผ ๋น„๊ตํ•˜์—ฌ ๋กœ๋ด‡์˜ ์ธ๊ฒฉํ™”, ํ™œ๋™์„ฑ, ํ˜ธ๊ฐ๋„, ๊ฐ์ง€๋œ ์ง€๋Šฅ์ด ํ–ฅ์ƒ๋œ ๊ฒƒ์„ ๊ด€์ฐฐํ•˜์˜€๋‹ค. ํƒ€์ด๋ฐ์€ ๋กœ๋ด‡์˜ ์Œ์„ฑ๋ณด๋‹ค ๊ณ ๊ฐœ ์›€์ง์ž„์ด ์•ž์„ค ๋•Œ ์ž์—ฐ์Šค๋Ÿฌ์›€์ด ๋†’๊ฒŒ ์ง€๊ฐ๋˜๋Š” ๊ฒƒ์œผ๋กœ ๊ด€์ฐฐ๋˜์—ˆ๋‹ค. ๊ฒฐ๊ณผ์ ์œผ๋กœ, ๋กœ๋ด‡์˜ ๊ณ ๊ฐœ ์›€์ง์ž„์€ ์‚ฌ์šฉ์ž์˜ ์ง€๊ฐ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ์ฃผ๋ฉฐ, ์•ž์„  ํƒ€์ด๋ฐ์˜ ๊ณ ๊ฐœ ์›€์ง์ž„์ด ์ž์—ฐ์Šค๋Ÿฌ์›€์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๊ณ ๊ฐœ๋ฅผ ์›€์ง์ด๋Š” ๋™์ž‘๊ณผ ํƒ€์ด๋ฐ์„ ํ†ตํ•ด ๋‹จ์ˆœํ•œ ํ˜•์ƒ์˜ ๋กœ๋ด‡๊ณผ ์ธ๊ฐ„์˜ ์ƒํ˜ธ์ž‘์šฉ์ด ํ–ฅ์ƒ๋  ์ˆ˜ ์žˆ์Œ์„ ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ํ™•์ธํ•˜์˜€๋‹ค.Chapter 1. Introduction 1 1.1. Motivation 1 1.2. Literature Review and Hypotheses 3 1.3. Purpose of Study 11 Chapter 2. Experiment 13 2.1. Methods 13 2.2. Results 22 2.3. Discussion 33 Chapter 3. Conclusion 35 Chapter 4. General Discussion 37 4.1. Theoretical Implications 37 4.2. Practical Implications 38 4.3. Limitations and Future work 39 References 41 Appendix 53 Abstract in Korean 55์„

    Pepper, Just Show Me The Way! How Robotic Shopping Assistants Should Look And Act

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    Artificial intelligence enables modern robots to serve as service and sales assistants. Today\u27s robotic shopping assistants (RSAs) can appear either humanoid or non-humanoid and possess utilitarian and/or hedonic attributes. However, many questions remain unexplored regarding an effective customer-centric RSA design. Do customers prefer a humanoid or non-humanoid RSA with hedonic or utilitarian attributes? To answer those questions, the research deploys a mixed-method approach involving a survey of customers who have interacted with the Pepper Robot, a humanoid robot (Study 1), and follow-up experiments examining customer responses to a humanoid/non-humanoid RSA with hedonic/utilitarian attributes (Studies 2 and 3). The research employs an innovative approach that analyzes both unstructured and structured data simultaneously. Study results suggest that customers prefer humanoid RSAs with utilitarian attributes over those with hedonic attributes. The research contributes to the literature by proposing hedonic (vs. utilitarian) attributes of RSAs as new drivers of anthropomorphic perceptions

    Understanding Anthropomorphism in Service Provision: A Meta-Analysis of Physical Robots, Chatbots, and other AI

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    An increasing number of firms introduce service robots, such as physical robots and virtual chatbots, to provide services to customers. While some firms use robots that resemble human beings by looking and acting humanlike to increase customersโ€™ use intention of this technology, others employ machinelike robots to avoid uncanny valley effects, assuming that very humanlike robots may induce feelings of eeriness. There is no consensus in the service literature regarding whether customersโ€™ anthropomorphism of robots facilitates or constrains their use intention. The present meta-analysis synthesizes data from 11,053 individuals interacting with service robots reported in 108 independent samples. The study synthesizes previous research to clarify this issue and enhance understanding of the construct. We develop a comprehensive model to investigate relationships between anthropomorphism and its antecedents and consequences. Customer traits and predispositions (e.g., computer anxiety), sociodemographics (e.g., gender), and robot design features (e.g., physical, nonphysical) are identified as triggers of anthropomorphism. Robot characteristics (e.g., intelligence) and functional characteristics (e.g., usefulness) are identified as important mediators, although relational characteristics (e.g., rapport) receive less support as mediators. The findings clarify contextual circumstances in which anthropomorphism impacts customer intention to use a robot. The moderator analysis indicates that the impact depends on robot type (i.e., robot gender) and service type (i.e., possession-processing service, mental stimulus-processing service). Based on these findings, we develop a comprehensive agenda for future research on service robots in marketing

    More Than Machines?

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    We know that robots are just machines. Why then do we often talk about them as if they were alive? Laura Voss explores this fascinating phenomenon, providing a rich insight into practices of animacy (and inanimacy) attribution to robot technology: from science-fiction to robotics R&D, from science communication to media discourse, and from the theoretical perspectives of STS to the cognitive sciences. Taking an interdisciplinary perspective, and backed by a wealth of empirical material, Voss shows how scientists, engineers, journalists - and everyone else - can face the challenge of robot technology appearing ยปa little bit aliveยซ with a reflexive and yet pragmatic stance

    More Than Machines? The Attribution of (In)Animacy to Robot Technology

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    We know that robots are just machines. Why then do we often talk about them as if they were alive? The author explores this fascinating phenomenon, providing a rich insight into practices of animacy (and inanimacy) attribution to robot technology: from science-fiction to robotics R&D, from science communication to media discourse, and from the theoretical perspectives of STS to the cognitive sciences. Taking an interdisciplinary perspective, and backed by a wealth of empirical material, the author shows how scientists, engineers, journalists - and everyone else - can face the challenge of robot technology appearing "a little bit alive" with a reflexive and yet pragmatic stance
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