Human-centered AI Technologies in Human-robot Interaction for Social Settings

The increasing integration of human-robot interaction (HRI) into social settings demands the development of human-centered AI technologies that prioritize intuitive, ethical, and empathetic interactions. As robots become more prevalent in everyday life—ranging from assistive devices in healthcare to educational tools in classrooms and customer service agents in retail—it is essential to ensure they can communicate and collaborate with humans in ways that are not only effective but also socially appropriate and meaningful. This workshop aims to explore cutting-edge advancements and interdisciplinary approaches to building AI-driven systems that facilitate effective, meaningful, and socially appropriate interactions between robots and humans across various environments such as healthcare, education, and customer service. We will primarily focus on several key themes, such as human-centered contextual AI, AI-driven intelligent robotics, ethical and responsible AI, and real-world applications. This workshop invites contributions from researchers, practitioners, and developers who are working on AI systems that empower robots to operate effectively in human-centered environments. By addressing challenges such as interpreting human emotions, understanding social cues, and adhering to ethical standards, and by sharing advancements in human-centered AI, we aim to shape the future of HRI. Our goal is to ensure that robots enrich human social experiences, fostering interactions that are not only efficient but also enhance the quality of life. By uniting efforts from various disciplines, we aspire to create robots that seamlessly integrate into society, ultimately contributing to a more harmonious coexistence between humans and robotic systems.

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Publication Details

Published
2024-12-01
DOI
https://doi.org/10.1145/3701571.3701610
Citations
8
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
5.15
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article

Human-centered AI Technologies in Human-robot Interaction for Social Settings

Khaled Kassem, Fan Mo, Jonna Häkkilä, Emma Kirjavainen et al.
8 citations
Social Robot Interaction and HRI
5.15
article

Human-centered AI Technologies in Human-robot Interaction for Social Settings

Khaled Kassem, Fan Mo, Jonna Häkkilä, Emma Kirjavainen, Yuchong Zhang, Zhengya Gong, Ma Yong
article en
8 citations

Abstract

The increasing integration of human-robot interaction (HRI) into social settings demands the development of human-centered AI technologies that prioritize intuitive, ethical, and empathetic interactions. As robots become more prevalent in everyday life—ranging from assistive devices in healthcare to educational tools in classrooms and customer service agents in retail—it is essential to ensure they can communicate and collaborate with humans in ways that are not only effective but also socially appropriate and meaningful. This workshop aims to explore cutting-edge advancements and interdisciplinary approaches to building AI-driven systems that facilitate effective, meaningful, and socially appropriate interactions between robots and humans across various environments such as healthcare, education, and customer service. We will primarily focus on several key themes, such as human-centered contextual AI, AI-driven intelligent robotics, ethical and responsible AI, and real-world applications. This workshop invites contributions from researchers, practitioners, and developers who are working on AI systems that empower robots to operate effectively in human-centered environments. By addressing challenges such as interpreting human emotions, understanding social cues, and adhering to ethical standards, and by sharing advancements in human-centered AI, we aim to shape the future of HRI. Our goal is to ensure that robots enrich human social experiences, fostering interactions that are not only efficient but also enhance the quality of life. By uniting efforts from various disciplines, we aspire to create robots that seamlessly integrate into society, ultimately contributing to a more harmonious coexistence between humans and robotic systems.

TU Wien (AT), University of Cambridge (GB), University of Bergen (NO), KTH Royal Institute of Technology (SE), University of Lapland (FI)
Openalex Percentile: Top 4%
Social Robot Interaction and HRI
5.15
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