CfP: ROMAN 2024 Special session: Redefining Robo-Identity: Bridging the Gap Between Generative Artificial Intelligence and Human Psychology
33rd IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN 2024)
August 26-30, Pasadena, California, USA
https://www.ro-man2024.org/
Submission deadline: 10th of March 2024
Special session code: k7299
Aim and Scope
In the evolving landscape of Human-Robot Interaction (HRI), the integration of Large Language Models (LLMs) has ushered in a new era of robotic identity and emotional expression. The ability of artificial agents to convey emotionally rich communication has profound implications for their perceived identities. As these agents become increasingly human-like, they not only challenge our conception of human distinctiveness but also raise concerns about their potential to deceive with their human-like qualities. This special session aims to delve into the complex interplay between artificial identity and emotion, and how it reshapes the dynamics of HRI.
Our special session aims to stimulate multidisciplinary collaboration and discussion, bringing together researchers from human-computer interaction, robotics, computer science and artificial intelligence, as well as researchers from social and cognitive psychology, design, neuroscience, anthropology, and philosophy. We seek to explore how artificially generated emotions contribute to the formation of both human and technological identities, and the methodologies to categorise and understand these phenomena.
This special session invites researchers, practitioners, and thought leaders to contribute their insights and research findings. We are particularly interested in empirical studies, theoretical frameworks, and practical applications that explore the nuances of identity and emotion in the realm of human-robot interaction. Our goal is to foster a deeper understanding of these concepts and to chart a course for future research directions in this rapidly evolving field.
Topics
● Emotionally Nuanced Communication via LLMs in HRI: Examining how Large Language Models enhance robots' ability to convey emotionally rich and context-aware communications, influencing their perceived identity in human-robot interactions.
● Artificial Identity versus Human Identity: Exploring the nature of artificial identity in the context of LLM-enhanced robots and how it compares to human identity.
● Emotional Expressivity of Artificial Agents: Investigating the delivery mechanisms of artificial identities through emotional expressions, including facial expressions, gestures, voice, speech and content.
● Development of Emotional and Adaptive Robotic Identities through LLMs: Exploring how LLMs contribute to the creation of adaptive, emotionally responsive robotic identities, focusing on personalization and the ethical implications of these evolving identities.
● Human Responses to Artificial Emotion: Understanding how humans perceive and react emotionally to robots with artificial identities.
● Influence of Displayed Emotions in HRI: Examining the impact of emotional expressions by robots on their perception and the formation of their unique identities.
● Design and Evolution of Emotional Expressivity: Discussing ongoing developments in the design of emotional expressivity in social robots.
● 'Emotional Echoes' and Contagion in LLM-Enhanced Robots: Focusing on how robots can mirror and amplify human emotions, facilitating empathetic interactions and complex emotional contagion in robotic identity formation.
● Integration of Human Intelligence and Artificial Identity: Analysing how human intelligence is translated into artificial identity through code and hardware, and how machines react to and synthesise human behaviour.
● LLMs' Role in Shaping Trust and Emotional Perception: Assessing the impact of advanced language models on the emotional dynamics of trust and reliability in human-robot interactions, and the implications for the perceived emotional credibility of robotic identities.
● Social Implications and Ethical Considerations: Addressing the broader social and ethical implications of artificial emotions and identity in HRI.
Submission guidelines
https://www.ro-man2024.org/contributing/specialsessionpapersubmission
Authors should use the following code to link the paper to the Special Session: k7299
Important dates
Paper submission deadline: March 10, 2024
Notification of Acceptance: May 10, 2024
Camera-ready Submission: June 7, 2024
Organisers
Guy Laban, University of Cambridge, UK
Minha Lee, Eindhoven University of Technology, The Netherlands
Dimosthenis Kontogiorgos, Massachusetts Institute Of Technology, USA
CfP: ROMAN 2024 Special session: Redefining Robo-Identity: Bridging the Gap Between Generative Artificial Intelligence and Human Psychology
33rd IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN 2024)
August 26-30, Pasadena, California, USA
https://www.ro-man2024.org/
-----
Submission deadline: 10th of March 2024
Special session code: k7299
-----
Aim and Scope
-----
In the evolving landscape of Human-Robot Interaction (HRI), the integration of Large Language Models (LLMs) has ushered in a new era of robotic identity and emotional expression. The ability of artificial agents to convey emotionally rich communication has profound implications for their perceived identities. As these agents become increasingly human-like, they not only challenge our conception of human distinctiveness but also raise concerns about their potential to deceive with their human-like qualities. This special session aims to delve into the complex interplay between artificial identity and emotion, and how it reshapes the dynamics of HRI.
Our special session aims to stimulate multidisciplinary collaboration and discussion, bringing together researchers from human-computer interaction, robotics, computer science and artificial intelligence, as well as researchers from social and cognitive psychology, design, neuroscience, anthropology, and philosophy. We seek to explore how artificially generated emotions contribute to the formation of both human and technological identities, and the methodologies to categorise and understand these phenomena.
This special session invites researchers, practitioners, and thought leaders to contribute their insights and research findings. We are particularly interested in empirical studies, theoretical frameworks, and practical applications that explore the nuances of identity and emotion in the realm of human-robot interaction. Our goal is to foster a deeper understanding of these concepts and to chart a course for future research directions in this rapidly evolving field.
-----
Topics
-----
● Emotionally Nuanced Communication via LLMs in HRI: Examining how Large Language Models enhance robots' ability to convey emotionally rich and context-aware communications, influencing their perceived identity in human-robot interactions.
● Artificial Identity versus Human Identity: Exploring the nature of artificial identity in the context of LLM-enhanced robots and how it compares to human identity.
● Emotional Expressivity of Artificial Agents: Investigating the delivery mechanisms of artificial identities through emotional expressions, including facial expressions, gestures, voice, speech and content.
● Development of Emotional and Adaptive Robotic Identities through LLMs: Exploring how LLMs contribute to the creation of adaptive, emotionally responsive robotic identities, focusing on personalization and the ethical implications of these evolving identities.
● Human Responses to Artificial Emotion: Understanding how humans perceive and react emotionally to robots with artificial identities.
● Influence of Displayed Emotions in HRI: Examining the impact of emotional expressions by robots on their perception and the formation of their unique identities.
● Design and Evolution of Emotional Expressivity: Discussing ongoing developments in the design of emotional expressivity in social robots.
● 'Emotional Echoes' and Contagion in LLM-Enhanced Robots: Focusing on how robots can mirror and amplify human emotions, facilitating empathetic interactions and complex emotional contagion in robotic identity formation.
● Integration of Human Intelligence and Artificial Identity: Analysing how human intelligence is translated into artificial identity through code and hardware, and how machines react to and synthesise human behaviour.
● LLMs' Role in Shaping Trust and Emotional Perception: Assessing the impact of advanced language models on the emotional dynamics of trust and reliability in human-robot interactions, and the implications for the perceived emotional credibility of robotic identities.
● Social Implications and Ethical Considerations: Addressing the broader social and ethical implications of artificial emotions and identity in HRI.
-----
Submission guidelines
-----
https://www.ro-man2024.org/contributing/specialsessionpapersubmission
Authors should use the following code to link the paper to the Special Session: k7299
-------------
Important dates
-------------
Paper submission deadline: March 10, 2024
Notification of Acceptance: May 10, 2024
Camera-ready Submission: June 7, 2024
---------
Organisers
---------
Guy Laban, University of Cambridge, UK
Minha Lee, Eindhoven University of Technology, The Netherlands
Dimosthenis Kontogiorgos, Massachusetts Institute Of Technology, USA