HCI Lab Research Topic: \u611f\u6027\u30ed\u30dc\u30c3\u30c8<\/title>\n <style>\n body {\n font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;\n line-height: 1.6;\n color: #333;\n max-width: 1200px;\n margin: 0 auto;\n padding: 20px;\n background-color: #f8f9fa;\n }\n h1, h2, h3, h4 {\n color: #2c3e50;\n }\n h1 {\n text-align: center;\n font-size: 2.5em;\n margin-bottom: 40px;\n color: #34495e;\n }\n \n h4 {\n text-align: center;\n font-size: 2.0em;\n margin-bottom: 40px;\n color: #34495e;\n }\n .main-description {\n background-color: #ecf0f1;\n border-radius: 12px;\n padding: 30px;\n margin-bottom: 40px;\n box-shadow: 0 5px 15px rgba(0,0,0,0.1);\n }\n .sub-section {\n border-radius: 12px;\n box-shadow: 0 10px 20px rgba(0,0,0,0.1);\n padding: 40px;\n margin-bottom: 60px;\n background: linear-gradient(135deg, #fff, #f1f3f5);\n transition: transform 0.3s ease, box-shadow 0.3s ease;\n }\n .sub-section:hover {\n transform: translateY(-5px);\n box-shadow: 0 15px 30px rgba(0,0,0,0.15);\n }\n .sub-section h2 {\n font-size: 1.8em;\n margin-bottom: 25px;\n color: #2c3e50;\n border-bottom: 2px solid #3498db;\n padding-bottom: 10px;\n \n }\n .content-wrapper{\n overflow:hidden;\n }\n .content-wrapper p{\n margin:0;\n }\n img {\n max-width: 100%;\n height: auto;\n border-radius: 8px;\n margin: 20px 0;\n box-shadow: 0 5px 15px rgba(0,0,0,0.1);\n }\n \n \/*.sub-description img {*\/\n \/* float:left;*\/\n \/* width: 400px;*\/\n \/* height: auto;*\/\n \/* object-fit:cover;*\/\n \/* border-radius: 8px;*\/\n \/* margin: 0 20px 0 0;*\/\n \/* box-shadow: 0 5px 15px rgba(0,0,0,0.1);*\/\n \/*}*\/\n \n .content-wrapper img {\n float: left;\n width: 600px;\n height: auto;\n object-fit: cover;\n border-radius: 8px;\n margin: 0 20px 20px 0;\n box-shadow: 0 5px 15px rgba(0,0,0,0.1);\n cursor: pointer;\n transition: transform 0.3s ease;\n }\n\n .content-wrapper img:hover {\n transform: scale(1.05);\n }\n .links {\n margin-top: 25px;\n }\n .links a {\n display: inline-block;\n background-color: #3498db;\n color: #fff;\n padding: 10px 20px;\n text-decoration: none;\n border-radius: 5px;\n margin-right: 10px;\n transition: all 0.3s ease;\n font-weight: 500;\n }\n .links a:hover {\n background-color: #2980b9;\n transform: translateY(-2px);\n box-shadow: 0 5px 10px rgba(0,0,0,0.1);\n }\n \/* Modal styles *\/\n .modal {\n display: none;\n position: fixed;\n z-index: 1000;\n left: 0;\n top: 0;\n width: 100%;\n height: 100%;\n background-color: rgba(0,0,0,0.9);\n align-items: center;\n justify-content: center;\n }\n .modal-content-wrapper {\n position: relative;\n max-width: 80%;\n max-height: 80%;\n }\n .modal-content {\n display: block;\n width: 100%;\n height: 100%;\n object-fit: contain;\n }\n .close {\n position: absolute;\n top: -40px;\n right: -40px;\n color: #f1f1f1;\n font-size: 30px;\n font-weight: bold;\n cursor: pointer;\n background-color: rgba(0, 0, 0, 0.5);\n width: 30px;\n height: 30px;\n border-radius: 50%;\n display: flex;\n align-items: center;\n justify-content: center;\n transition: 0.3s;\n }\n\n .close:hover,\n .close:focus {\n color: #bbb;\n text-decoration: none;\n cursor: pointer;\n }\n\n \n #section1 { border-top: 5px solid #3498db; }\n #section2 { border-top: 5px solid #e74c3c; }\n #section3 { border-top: 5px solid #2ecc71; }\n #section4 { border-top: 5px solid #adacac; }\n <\/style>\n<\/head>\n<body>\n\n <div class=\"main-description\">\n <h1>Not Just Smart Robots\u2014Lifelike Robots!<\/h1>\n <p>In recent years, robots have become more familiar in our daily lives. In particular, <b>communication robots<\/b> like Sony\u2019s \u201cAIBO\u201d and SoftBank\u2019s \u201cPepper\u201d have attracted attention. These robots respond to human speech and interact with us through gestures, emotional expressions, and conversation, providing entertainment and engagement. However, it\u2019s hard to say that such robots have truly become widespread in our everyday lives. Although they initially gained popularity due to their novelty, their appeal has gradually faded. Why have communication robots struggled to secure a lasting place in society?<br>\n One possible reason is that users quickly lose interest in them because their behaviors are too mechanical and simplistic. That\u2019s why the development of robots that exhibit lifelike behavior\u2014robots that understand and embody the sensitivities of humans and animals\u2014is becoming increasingly important.<\/p>\n <div style = \"text-align:center\">\n <img decoding=\"async\" src=\"https:\/\/www.kis.kansai-u.ac.jp\/wp-content\/uploads\/2018\/03\/Screen-Shot-2023-02-22-at-17.38.41.png\" alt=\"\u591a\u69d8\u306a\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u30ed\u30dc\u30c3\u30c8\u9054\" style=\"width: 60%; height: auto; border-radius: 10px;\">\n <figcaption>Various Communication Robots<\/figcaption>\n <\/div>\n \n <h2>Robots with Emotions<\/h2>\n<div class=\"sub-section\">\n <p>Our lab conducts research focused on the keyword <b>\"Emotions\".<\/b> Emotions are an essential part of human nature and play a critical role in communication between people. Therefore, for a robot to understand human sensitivity and build friendly relationships with people, it needs to have the function of \"emotion.\"<\/p>\n <p>The presence or absence of such lifelike emotional functions creates a significant distinction between humans and robots. In other words, by giving robots emotions, they can become more familiar and relatable to humans.<\/p>\n\n<h2>Can Robots Grow Too?<\/h2>\n <p>An \u201cemotion generation model\u201d is a system that determines what kind of emotions a robot should generate in response to various stimuli. Researchers around the world are studying emotion generation models for robots. However, most of this research focuses on how robots with complex and pre-defined sets of emotions can select the most appropriate one in a given situation.<\/p>\n <p>In our lab, we focus on a new perspective: the \u201cdevelopment\u201d of living beings. By giving robots the ability to gradually develop emotions as humans do during growth, we aim to create a more lifelike emotion generation process.<\/p>\n<div style=\"text-align:center\">\n <img decoding=\"async\" src=\"https:\/\/www.kis.kansai-u.ac.jp\/wp-content\/uploads\/2018\/03\/development-of-feeling.jpg\" alt=\"Sony's Aibo\">\n <figcaption>Emotional Development in Robots<\/figcaption>\n<\/div>\n\n<h2>Robots with Needs<\/h2>\n <p>We are also conducting research focusing on innate biological factors and \u201cneeds,\u201d such as sleepiness and hunger. In real living beings, strong emotions like \u201cfrustration\u201d or \u201canger\u201d can arise from desires such as hunger or the need to eat. Therefore, these elements are deeply connected to emotions as well.<\/p>\n\n\n \n\n<h2>An imperfect robot<\/h2>\n <p>Furthermore, research is being conducted to enhance the human-likeness of robots by deliberately incorporating <b>imperfect behaviors<\/b>, such as hesitation or indecision. Traditional robots tend to execute instructed actions or speech in a straightforward and mechanical manner, which makes it difficult to describe their behavior as human-like. As a result, users may perceive the robot as merely a machine, making it hard to develop a sense of familiarity or emotional attachment, thereby hindering long-term engagement. To address this, the aim is to <b>intentionally design imperfect behaviors in robots<\/b> so that humans are more likely to feel a sense of warmth and approachability toward them.<\/p>\n \n \n <div>\n <\/div>\n<\/div>\n \n\n <h4 >Related Work<\/h4>\n \n <div id=\"section1\" class=\"sub-section\">\n <h2>Adaptive Psychological Distance in Japanese Spoken Human-Agent Dialogue: A Politeness-Based Management Model<\/h2>\n <div class=\"content-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/www.kis.kansai-u.ac.jp\/wp-content\/uploads\/2018\/03\/inaba.png\" alt=\"\u30e6\u30fc\u30b6\u306e\u55dc\u597d\u306b\u5fdc\u3058\u3066\u5fc3\u7406\u7684\u8ddd\u96e2\u3092\u8abf\u6574\u3059\u308b\u4f1a\u8a71\u5236\u5fa1\u30e2\u30c7\u30eb\u306b\u95a2\u3059\u308b\u7814\u7a76\" class=\"enlarge-image\">\n <p>In this study, we propose a computational model that enables more human-like dialogue by dynamically adjusting the perceived <b>social distance<\/b> in human-robot conversations, based on politeness theory. Traditional robots often employ a generic, static conversational style that cannot adapt to changes in the level of intimacy, which contributes to the impression of mechanical interaction. To address this, our model systematically manipulates \"linguistic politeness markers\" and \"conversational strategies\" in Japanese dialogue contexts to realize psychological distance between the robot and the human. This research offers insights into interaction design in contexts like Japanese communication, where social distance is linguistically formalized, thereby contributing to the field of HCI. Furthermore, it is expected to deepen our understanding of how conversational agents can achieve more natural and context-aware interactions that align with human social expectations.<\/p>\n <\/div>\n <\/div>\n \n <div id=\"section2\" class=\"sub-section\">\n <h2>Verification of immersive experience through watching with robot groups considering emotional contagion<\/h2>\n <div class=\"content-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/www.kis.kansai-u.ac.jp\/wp-content\/uploads\/2018\/03\/330861BB-13FC-4AF3-BB6D-2A2D3B32ACEB_1_201_a.jpeg\" alt=\"\u611f\u60c5\u4f1d\u642c\u3092\u8003\u616e\u3057\u305f\u30ed\u30dc\u30c3\u30c8\u96c6\u56e3\u3068\u306e\u89b3\u6226\u306b\u3088\u308b\u81e8\u5834\u611f\u6f14\u51fa\u306b\u95a2\u3059\u308b\u7814\u7a76\" class=\"enlarge-image\">\n \n <p>In this study, we focus on <b>nonverbal information<\/b> in human-robot communication and propose a virtual sports viewing environment using a group of robots that induce a sense of presence by altering emotions through emotional contagion. Since the global outbreak of COVID-19 in 2020, various methods of watching sports have gained attention. However, traditional viewing methods fail to reproduce the communication that occurs on-site, resulting in a lack of presence. To address this, our system deploys a group of robots programmed to dynamically express emotions through an emotional contagion model. By incorporating this approach, we aim to enhance the user's sense of immersion and satisfaction by accommodating nuances in emotional transmission and individual preferences.<\/p>\n <\/div>\n <\/div>\n \n \n <div id=\"section4\" class=\"sub-section\">\n <h2>References<\/h2>\n <p>Miho Harata, Masataka Tokumaru, \u201cAn emotion generation model with growth functions for robots\u201d, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.17, No.2, pp.335-342, 2013-03.<\/p>\n \n <p>Kinoshita, S., Takenouchi, H., & Tokumaru, M. (2014). \u5bfe\u8a71\u8005\u3092\u8003\u616e\u3057\u305f\u53cd\u5fdc\u3092\u884c\u3046\u30ed\u30dc\u30c3\u30c8\u306e\u611f\u60c5\u751f\u6210\u30e2\u30c7\u30eb [Emotion generation model for robots responding with consideration of dialogue partners]. Proceedings of the 30th Fuzzy Systems Symposium of the Japanese Society for Fuzzy Theory and Intelligent Informatics, TA1-4, 342\u2013347.<\/p>\n <p>Nagano, H., & Tokumaru, M. (2013). \u767a\u9054\u6a5f\u80fd\u3092\u6301\u3064\u30ed\u30dc\u30c3\u30c8\u306b\u304a\u3051\u308b\u9577\u671f\u7684\u306a\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f3\u306b\u3088\u308b\u611f\u60c5\u5206\u5316\u306e\u691c\u8a3c [Verification of emotional differentiation through long-term interaction with robots possessing developmental functions]. Proceedings of the 29th Fuzzy Systems Symposium of the Japanese Society for Fuzzy Theory and Intelligent Informatics, MC3-1, 123\u2013128.<\/p>\n <p>Akira Inaba, Emmanuel Ayedoun, Masataka Tokumaru, \u201cAdaptive Psychological Distance in Japanese Spoken Human-Agent Dialogue: A Politeness-Based Management Model\u201d, The 15th International Workshop on Spoken Dialogue Systems Technology, 2025-05 (Bilbao, Spain) (to appear).<\/p>\n <p>Yamamoto, F., Ayedoun, E., & Tokumaru, M. (2024). \u611f\u60c5\u4f1d\u64ad\u3092\u8003\u616e\u3057\u305f\u30ed\u30dc\u30c3\u30c8\u96c6\u56e3\u3068\u306e\u89b3\u6226\u306b\u3088\u308b\u81e8\u5834\u611f\u6f14\u51fa\u306e\u691c\u8a3c [Verification of immersive experience through watching with robot groups considering emotional contagion]. Proceedings of the 34th Soft Science Workshop of the Japanese Society for Fuzzy Theory and Intelligent Informatics, 4\u20132.<\/p>\n \n <\/div>\n <div id=\"imageModal\" class=\"modal\">\n <div class =\"modal-content-wrapper\">\n <span class=\"close\">×<\/span>\n <img class=\"modal-content\" id=\"enlargedImage\">\n <\/div>\n <\/div>\n <script>\n var modal = document.getElementById(\"imageModal\");\n var modalImg = document.getElementById(\"enlargedImage\");\n var closeBtn = document.getElementsByClassName(\"close\")[0];\n\n \/\/ Get all images with class 'enlarge-image'\n var images = document.getElementsByClassName(\"enlarge-image\");\n\n \/\/ Attach click event to each image\n for (var i = 0; i < images.length; i++) {\n images[i].onclick = function(){\n modal.style.display = \"flex\";\n modalImg.src = this.src;\n }\n }\n\n \/\/ Close the modal when clicking on <span> (x)\n closeBtn.onclick = function() {\n modal.style.display = \"none\";\n }\n\n \/\/ Close the modal when clicking outside the image\n window.onclick = function(event) {\n if (event.target == modal) {\n modal.style.display = \"none\";\n }\n }\n\n <\/script>\n<\/body>\n<\/html>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>In recent years, robots have become a bigger part of our everyday lives. People are especially interested in communication robots like SONY’s AIBO and SoftBank’s Pepper. These robots can respond to human speech, and they entertain us with gestures, showing emotions, and talking.<\/p>\n","protected":false},"author":1,"featured_media":2594,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[540],"tags":[],"class_list":["post-4017","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research-topic-en"],"_links":{"self":[{"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=\/wp\/v2\/posts\/4017","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4017"}],"version-history":[{"count":28,"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=\/wp\/v2\/posts\/4017\/revisions"}],"predecessor-version":[{"id":4924,"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=\/wp\/v2\/posts\/4017\/revisions\/4924"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=\/wp\/v2\/media\/2594"}],"wp:attachment":[{"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4017"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4017"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4017"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

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\n\t\t\t\t\t\n\n\n \n \n HCI Lab Research Topic: \u611f\u6027\u30ed\u30dc\u30c3\u30c8<\/title>\n <style>\n body {\n font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;\n line-height: 1.6;\n color: #333;\n max-width: 1200px;\n margin: 0 auto;\n padding: 20px;\n background-color: #f8f9fa;\n }\n h1, h2, h3, h4 {\n color: #2c3e50;\n }\n h1 {\n text-align: center;\n font-size: 2.5em;\n margin-bottom: 40px;\n color: #34495e;\n }\n \n h4 {\n text-align: center;\n font-size: 2.0em;\n margin-bottom: 40px;\n color: #34495e;\n }\n .main-description {\n background-color: #ecf0f1;\n border-radius: 12px;\n padding: 30px;\n margin-bottom: 40px;\n box-shadow: 0 5px 15px rgba(0,0,0,0.1);\n }\n .sub-section {\n border-radius: 12px;\n box-shadow: 0 10px 20px rgba(0,0,0,0.1);\n padding: 40px;\n margin-bottom: 60px;\n background: linear-gradient(135deg, #fff, #f1f3f5);\n transition: transform 0.3s ease, box-shadow 0.3s ease;\n }\n .sub-section:hover {\n transform: translateY(-5px);\n box-shadow: 0 15px 30px rgba(0,0,0,0.15);\n }\n .sub-section h2 {\n font-size: 1.8em;\n margin-bottom: 25px;\n color: #2c3e50;\n border-bottom: 2px solid #3498db;\n padding-bottom: 10px;\n \n }\n .content-wrapper{\n overflow:hidden;\n }\n .content-wrapper p{\n margin:0;\n }\n img {\n max-width: 100%;\n height: auto;\n border-radius: 8px;\n margin: 20px 0;\n box-shadow: 0 5px 15px rgba(0,0,0,0.1);\n }\n \n \/*.sub-description img {*\/\n \/* float:left;*\/\n \/* width: 400px;*\/\n \/* height: auto;*\/\n \/* object-fit:cover;*\/\n \/* border-radius: 8px;*\/\n \/* margin: 0 20px 0 0;*\/\n \/* box-shadow: 0 5px 15px rgba(0,0,0,0.1);*\/\n \/*}*\/\n \n .content-wrapper img {\n float: left;\n width: 600px;\n height: auto;\n object-fit: cover;\n border-radius: 8px;\n margin: 0 20px 20px 0;\n box-shadow: 0 5px 15px rgba(0,0,0,0.1);\n cursor: pointer;\n transition: transform 0.3s ease;\n }\n\n .content-wrapper img:hover {\n transform: scale(1.05);\n }\n .links {\n margin-top: 25px;\n }\n .links a {\n display: inline-block;\n background-color: #3498db;\n color: #fff;\n padding: 10px 20px;\n text-decoration: none;\n border-radius: 5px;\n margin-right: 10px;\n transition: all 0.3s ease;\n font-weight: 500;\n }\n .links a:hover {\n background-color: #2980b9;\n transform: translateY(-2px);\n box-shadow: 0 5px 10px rgba(0,0,0,0.1);\n }\n \/* Modal styles *\/\n .modal {\n display: none;\n position: fixed;\n z-index: 1000;\n left: 0;\n top: 0;\n width: 100%;\n height: 100%;\n background-color: rgba(0,0,0,0.9);\n align-items: center;\n justify-content: center;\n }\n .modal-content-wrapper {\n position: relative;\n max-width: 80%;\n max-height: 80%;\n }\n .modal-content {\n display: block;\n width: 100%;\n height: 100%;\n object-fit: contain;\n }\n .close {\n position: absolute;\n top: -40px;\n right: -40px;\n color: #f1f1f1;\n font-size: 30px;\n font-weight: bold;\n cursor: pointer;\n background-color: rgba(0, 0, 0, 0.5);\n width: 30px;\n height: 30px;\n border-radius: 50%;\n display: flex;\n align-items: center;\n justify-content: center;\n transition: 0.3s;\n }\n\n .close:hover,\n .close:focus {\n color: #bbb;\n text-decoration: none;\n cursor: pointer;\n }\n\n \n #section1 { border-top: 5px solid #3498db; }\n #section2 { border-top: 5px solid #e74c3c; }\n #section3 { border-top: 5px solid #2ecc71; }\n #section4 { border-top: 5px solid #adacac; }\n <\/style>\n<\/head>\n<body>\n\n <div class=\"main-description\">\n <h1>Not Just Smart Robots\u2014Lifelike Robots!<\/h1>\n <p>In recent years, robots have become more familiar in our daily lives. In particular, <b>communication robots<\/b> like Sony\u2019s \u201cAIBO\u201d and SoftBank\u2019s \u201cPepper\u201d have attracted attention. These robots respond to human speech and interact with us through gestures, emotional expressions, and conversation, providing entertainment and engagement. However, it\u2019s hard to say that such robots have truly become widespread in our everyday lives. Although they initially gained popularity due to their novelty, their appeal has gradually faded. Why have communication robots struggled to secure a lasting place in society?<br>\n One possible reason is that users quickly lose interest in them because their behaviors are too mechanical and simplistic. That\u2019s why the development of robots that exhibit lifelike behavior\u2014robots that understand and embody the sensitivities of humans and animals\u2014is becoming increasingly important.<\/p>\n <div style = \"text-align:center\">\n <img decoding=\"async\" src=\"https:\/\/www.kis.kansai-u.ac.jp\/wp-content\/uploads\/2018\/03\/Screen-Shot-2023-02-22-at-17.38.41.png\" alt=\"\u591a\u69d8\u306a\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u30ed\u30dc\u30c3\u30c8\u9054\" style=\"width: 60%; height: auto; border-radius: 10px;\">\n <figcaption>Various Communication Robots<\/figcaption>\n <\/div>\n \n <h2>Robots with Emotions<\/h2>\n<div class=\"sub-section\">\n <p>Our lab conducts research focused on the keyword <b>\"Emotions\".<\/b> Emotions are an essential part of human nature and play a critical role in communication between people. Therefore, for a robot to understand human sensitivity and build friendly relationships with people, it needs to have the function of \"emotion.\"<\/p>\n <p>The presence or absence of such lifelike emotional functions creates a significant distinction between humans and robots. In other words, by giving robots emotions, they can become more familiar and relatable to humans.<\/p>\n\n<h2>Can Robots Grow Too?<\/h2>\n <p>An \u201cemotion generation model\u201d is a system that determines what kind of emotions a robot should generate in response to various stimuli. Researchers around the world are studying emotion generation models for robots. However, most of this research focuses on how robots with complex and pre-defined sets of emotions can select the most appropriate one in a given situation.<\/p>\n <p>In our lab, we focus on a new perspective: the \u201cdevelopment\u201d of living beings. By giving robots the ability to gradually develop emotions as humans do during growth, we aim to create a more lifelike emotion generation process.<\/p>\n<div style=\"text-align:center\">\n <img decoding=\"async\" src=\"https:\/\/www.kis.kansai-u.ac.jp\/wp-content\/uploads\/2018\/03\/development-of-feeling.jpg\" alt=\"Sony's Aibo\">\n <figcaption>Emotional Development in Robots<\/figcaption>\n<\/div>\n\n<h2>Robots with Needs<\/h2>\n <p>We are also conducting research focusing on innate biological factors and \u201cneeds,\u201d such as sleepiness and hunger. In real living beings, strong emotions like \u201cfrustration\u201d or \u201canger\u201d can arise from desires such as hunger or the need to eat. Therefore, these elements are deeply connected to emotions as well.<\/p>\n\n\n \n\n<h2>An imperfect robot<\/h2>\n <p>Furthermore, research is being conducted to enhance the human-likeness of robots by deliberately incorporating <b>imperfect behaviors<\/b>, such as hesitation or indecision. Traditional robots tend to execute instructed actions or speech in a straightforward and mechanical manner, which makes it difficult to describe their behavior as human-like. As a result, users may perceive the robot as merely a machine, making it hard to develop a sense of familiarity or emotional attachment, thereby hindering long-term engagement. To address this, the aim is to <b>intentionally design imperfect behaviors in robots<\/b> so that humans are more likely to feel a sense of warmth and approachability toward them.<\/p>\n \n \n <div>\n <\/div>\n<\/div>\n \n\n <h4 >Related Work<\/h4>\n \n <div id=\"section1\" class=\"sub-section\">\n <h2>Adaptive Psychological Distance in Japanese Spoken Human-Agent Dialogue: A Politeness-Based Management Model<\/h2>\n <div class=\"content-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/www.kis.kansai-u.ac.jp\/wp-content\/uploads\/2018\/03\/inaba.png\" alt=\"\u30e6\u30fc\u30b6\u306e\u55dc\u597d\u306b\u5fdc\u3058\u3066\u5fc3\u7406\u7684\u8ddd\u96e2\u3092\u8abf\u6574\u3059\u308b\u4f1a\u8a71\u5236\u5fa1\u30e2\u30c7\u30eb\u306b\u95a2\u3059\u308b\u7814\u7a76\" class=\"enlarge-image\">\n <p>In this study, we propose a computational model that enables more human-like dialogue by dynamically adjusting the perceived <b>social distance<\/b> in human-robot conversations, based on politeness theory. Traditional robots often employ a generic, static conversational style that cannot adapt to changes in the level of intimacy, which contributes to the impression of mechanical interaction. To address this, our model systematically manipulates \"linguistic politeness markers\" and \"conversational strategies\" in Japanese dialogue contexts to realize psychological distance between the robot and the human. This research offers insights into interaction design in contexts like Japanese communication, where social distance is linguistically formalized, thereby contributing to the field of HCI. Furthermore, it is expected to deepen our understanding of how conversational agents can achieve more natural and context-aware interactions that align with human social expectations.<\/p>\n <\/div>\n <\/div>\n \n <div id=\"section2\" class=\"sub-section\">\n <h2>Verification of immersive experience through watching with robot groups considering emotional contagion<\/h2>\n <div class=\"content-wrapper\">\n <img decoding=\"async\" src=\"https:\/\/www.kis.kansai-u.ac.jp\/wp-content\/uploads\/2018\/03\/330861BB-13FC-4AF3-BB6D-2A2D3B32ACEB_1_201_a.jpeg\" alt=\"\u611f\u60c5\u4f1d\u642c\u3092\u8003\u616e\u3057\u305f\u30ed\u30dc\u30c3\u30c8\u96c6\u56e3\u3068\u306e\u89b3\u6226\u306b\u3088\u308b\u81e8\u5834\u611f\u6f14\u51fa\u306b\u95a2\u3059\u308b\u7814\u7a76\" class=\"enlarge-image\">\n \n <p>In this study, we focus on <b>nonverbal information<\/b> in human-robot communication and propose a virtual sports viewing environment using a group of robots that induce a sense of presence by altering emotions through emotional contagion. Since the global outbreak of COVID-19 in 2020, various methods of watching sports have gained attention. However, traditional viewing methods fail to reproduce the communication that occurs on-site, resulting in a lack of presence. To address this, our system deploys a group of robots programmed to dynamically express emotions through an emotional contagion model. By incorporating this approach, we aim to enhance the user's sense of immersion and satisfaction by accommodating nuances in emotional transmission and individual preferences.<\/p>\n <\/div>\n <\/div>\n \n \n <div id=\"section4\" class=\"sub-section\">\n <h2>References<\/h2>\n <p>Miho Harata, Masataka Tokumaru, \u201cAn emotion generation model with growth functions for robots\u201d, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.17, No.2, pp.335-342, 2013-03.<\/p>\n \n <p>Kinoshita, S., Takenouchi, H., & Tokumaru, M. (2014). \u5bfe\u8a71\u8005\u3092\u8003\u616e\u3057\u305f\u53cd\u5fdc\u3092\u884c\u3046\u30ed\u30dc\u30c3\u30c8\u306e\u611f\u60c5\u751f\u6210\u30e2\u30c7\u30eb [Emotion generation model for robots responding with consideration of dialogue partners]. Proceedings of the 30th Fuzzy Systems Symposium of the Japanese Society for Fuzzy Theory and Intelligent Informatics, TA1-4, 342\u2013347.<\/p>\n <p>Nagano, H., & Tokumaru, M. (2013). \u767a\u9054\u6a5f\u80fd\u3092\u6301\u3064\u30ed\u30dc\u30c3\u30c8\u306b\u304a\u3051\u308b\u9577\u671f\u7684\u306a\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f3\u306b\u3088\u308b\u611f\u60c5\u5206\u5316\u306e\u691c\u8a3c [Verification of emotional differentiation through long-term interaction with robots possessing developmental functions]. Proceedings of the 29th Fuzzy Systems Symposium of the Japanese Society for Fuzzy Theory and Intelligent Informatics, MC3-1, 123\u2013128.<\/p>\n <p>Akira Inaba, Emmanuel Ayedoun, Masataka Tokumaru, \u201cAdaptive Psychological Distance in Japanese Spoken Human-Agent Dialogue: A Politeness-Based Management Model\u201d, The 15th International Workshop on Spoken Dialogue Systems Technology, 2025-05 (Bilbao, Spain) (to appear).<\/p>\n <p>Yamamoto, F., Ayedoun, E., & Tokumaru, M. (2024). \u611f\u60c5\u4f1d\u64ad\u3092\u8003\u616e\u3057\u305f\u30ed\u30dc\u30c3\u30c8\u96c6\u56e3\u3068\u306e\u89b3\u6226\u306b\u3088\u308b\u81e8\u5834\u611f\u6f14\u51fa\u306e\u691c\u8a3c [Verification of immersive experience through watching with robot groups considering emotional contagion]. Proceedings of the 34th Soft Science Workshop of the Japanese Society for Fuzzy Theory and Intelligent Informatics, 4\u20132.<\/p>\n \n <\/div>\n <div id=\"imageModal\" class=\"modal\">\n <div class =\"modal-content-wrapper\">\n <span class=\"close\">×<\/span>\n <img class=\"modal-content\" id=\"enlargedImage\">\n <\/div>\n <\/div>\n <script>\n var modal = document.getElementById(\"imageModal\");\n var modalImg = document.getElementById(\"enlargedImage\");\n var closeBtn = document.getElementsByClassName(\"close\")[0];\n\n \/\/ Get all images with class 'enlarge-image'\n var images = document.getElementsByClassName(\"enlarge-image\");\n\n \/\/ Attach click event to each image\n for (var i = 0; i < images.length; i++) {\n images[i].onclick = function(){\n modal.style.display = \"flex\";\n modalImg.src = this.src;\n }\n }\n\n \/\/ Close the modal when clicking on <span> (x)\n closeBtn.onclick = function() {\n modal.style.display = \"none\";\n }\n\n \/\/ Close the modal when clicking outside the image\n window.onclick = function(event) {\n if (event.target == modal) {\n modal.style.display = \"none\";\n }\n }\n\n <\/script>\n<\/body>\n<\/html>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>In recent years, robots have become a bigger part of our everyday lives. People are especially interested in communication robots like SONY’s AIBO and SoftBank’s Pepper. These robots can respond to human speech, and they entertain us with gestures, showing emotions, and talking.<\/p>\n","protected":false},"author":1,"featured_media":2594,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[540],"tags":[],"class_list":["post-4017","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research-topic-en"],"_links":{"self":[{"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=\/wp\/v2\/posts\/4017","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4017"}],"version-history":[{"count":28,"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=\/wp\/v2\/posts\/4017\/revisions"}],"predecessor-version":[{"id":4924,"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=\/wp\/v2\/posts\/4017\/revisions\/4924"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=\/wp\/v2\/media\/2594"}],"wp:attachment":[{"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4017"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4017"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kis.kansai-u.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4017"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}