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Human-robot interaction (HRI) investigates human activities and environments to inform the design of robots for human use; develops novel theories, methods, and mechanism that enable robots to interact with people in effective, positive, and ethical ways; and studies the nature as well as the individual and societal outcomes of interactions between humans and robots.
Investigations of human activities, environments, and interactions with robots use rigorous, state-of-the-art empirical-research methods, including qualitative, quantitative, and mixed-method approaches. Explorations of novel robot concepts, human-robot interaction paradigms, and design spaces for applications follow a research-through-design approach. Example contexts for applications include social and physical assistance in domestic, work, and clinical settings (e.g., education, therapy, manufacturing), mission-critical environments (e.g., space exploration, search and rescue), and public settings (e.g., museums, transportation, and retail environments). Technical advancements in HRI involve novel algorithms, systems, architectures, and platforms that enable new forms of human-robot interaction and methods and environments for programming and prototyping robot systems. Finally, theoretical work in HRI uses grounded, meta-analytic, and case-study approaches to build models, frameworks, and theories of human-robot interaction.
This section aims to foster the growth of the highly interdisciplinary HRI research community and encourages problem-driven work that integrates design, technical, and behavioral perspectives. We welcome submissions that present strong, rigorous research in all areas of HRI that makes empirical, design, technical, or theoretical contributions. The journal also seeks to facilitate the translation of research into practice through open-access publications that clearly identify the implications of the research for practice.
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Human-Robot Interaction welcomes submissions of the following article types: Brief Research Report, Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review, Specialty Grand Challenge and Technology and Code.
All manuscripts must be submitted directly to the section Human-Robot Interaction, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
Articles published in the section Human-Robot Interaction will benefit from the Frontiers impact and tiering system after online publication. Authors of published original research with the highest impact, as judged democratically by the readers, will be invited by the Chief Editor to write a Frontiers Focused Review - a tier-climbing article. This is referred to as "democratic tiering". The author selection is based on article impact analytics of original research published in all Frontiers specialty journals and sections. Focused Reviews are centered on the original discovery, place it into a broader context, and aim to address the wider community across all of Robotics and AI.
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