IEEE RO-MAN 2024 @ Pasadena Convention Center, Pasadena, California, USA
Conference Website
In the rapidly advancing field of artificial intelligence, the establishment and maintenance of trust remains a pivotal challenge, especially in the face of ever-changing contexts. Last year, our session “Designing trustworthy human agent interaction in dynamic context” delved into the foundational aspects of trust in human-robot relationships. This year, we aim to take a step further by focusing on the dynamic interplay between trust and context in these interactions.
Our session will explore the multifaceted nature of trust in HAI, recognizing that trust is not static but evolves continuously, influenced by a myriad of contextual factors such as environmental settings, social dynamics, task complexity, and the evolving purposes of human and robot interactions. We will investigate how these contextual elements shape the trust-building process and examine methods to effectively communicate and adapt to these changing contexts in real-time.
We invite a broad spectrum of research that examines how dynamic contexts influence trust in HAI. Topics of interest include, but are not limited to, adaptive trust models in changing environments, context-aware communication strategies in HAI, the impact of social and cultural contexts on trust dynamics, and empirical studies on trust evolution in long-term human-agent interactions.
By aligning with this year’s RO-MAN conference theme “Embracing Human-Centered HRI,” our session aims to offer novel insights and foster discussions that highlight the critical role of context and shaping trust dynamics in HRI. We believe that understanding and addressing these dynamic interactions is key to advancing the field and ensuring the beneficial integration of agents and robots into human societies.
| Paper | Authors |
|---|---|
| Changing Human’s Impression of Empathy from Agent by Verbalizing Agent’s Position | Tsumura, Takahiro (Toyo University); Yamada, Seiji (National Institute of Informatics) |
| User Decision Guidance with Selective Explanation Presentation from Explainable-AI | Fukuchi, Yosuke (Tokyo Metropolitan University); Yamada, Seiji (National Institute of Informatics) |
| Empirical Investigation of How Robot Head Motion Influences Acceptance of Heatmap-Based XAI: Designing XAI with Social Robot | Maehigashi, Akihiro (Shizuoka University); Fukuchi, Yosuke (Tokyo Metropolitan University); Yamada, Seiji (National Institute of Informatics) |
| Two Is Better Than One: Cultural Differences in the Number of Apologizing Robots in the U.S. and Japan | Shiomi, Masahiro (ATR); Hirayama, Taichi (Doshisha University); Kimoto, Mitsuhiko (Meiji University); Iio, Takamasa (Doshisha University); Shimohara, Katsunori (Doshisha University) |
| Measuring Algorithm Aversion and Betrayal Aversion to Humans and AI Using Trust Games | Takagi, Hisashi (BeNEXT Solutions Inc); Li, Yang (Nagoya University); Komori, Masashi (Osaka Electro-Communication University); Terada, Kazunori (Gifu University) |
| Automatic Joint Gaze Generation between Local and Remote Persons through Telepresence Robot | Ikoma, Hibiki (Shizuoka University); Takeuchi, Yugo (Shizuoka University) |
| Unveiling Trust Dynamics with a Mobile Service Robot: Exploring Various Interaction Styles for an Agricultural Task | Elias, Alex (University of Lincoln); Galvez Trigo, Maria Jose (Cardiff University) |
| The Effect of Robot Pose and Distance on Pedestrian and Observer Comfort During Passing | Ohnishi, Fumiya (Keio University); Takahashi, Masaki (Keio University) |
| No More Mumbles: Enhancing Robot Intelligibility through Speech Adaptation* | Ren, Qiaoqiao (AIRO - IDLab - University of Ghent - IMEC); Hou, Yuanbo (Ghent University); Botteldooren, Dick (Ghent University); Belpaeme, Tony (Ghent University) |