ACM Transactions on Human-Robot Interaction

Scope & Guideline

Advancing the Future of Human-Robot Synergy.

Introduction

Immerse yourself in the scholarly insights of ACM Transactions on Human-Robot Interaction with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN-
PublisherASSOC COMPUTING MACHINERY
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationACM T HUM-ROBOT INTE / ACM Trans. Hum.-Robot Interact.
Frequency3 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address1601 Broadway, 10th Floor, NEW YORK, NY 10019-7434

Aims and Scopes

The ACM Transactions on Human-Robot Interaction (THRI) aims to advance the understanding and development of human-robot interaction (HRI) technologies, methodologies, and applications. The journal focuses on interdisciplinary research that bridges robotics, social sciences, and design to enhance the interaction between humans and robots in various settings.
  1. Human-Robot Collaboration:
    Research exploring various aspects of how humans and robots work together, including task allocation, shared autonomy, and trust dynamics within collaborative environments.
  2. Social and Emotional Interaction:
    Studies focusing on the social and emotional dimensions of HRI, such as how robots can be designed to recognize and respond to human emotions, establish rapport, and foster positive interactions.
  3. Design and Evaluation of HRI Systems:
    Development of frameworks and methodologies for designing, implementing, and evaluating robotic systems that interact with humans, including user-centered design approaches and participatory design.
  4. Robotics in Healthcare and Assistive Technologies:
    Exploration of the applications of robots in healthcare settings, including rehabilitation, elderly care, and support for individuals with disabilities, aiming to improve quality of life.
  5. Ethics and Societal Impact of HRI:
    Investigations into the ethical considerations and societal implications of deploying robots in various environments, addressing issues of trust, acceptance, and moral dilemmas.
  6. Cognitive and Perceptual Understanding of HRI:
    Research on how humans perceive and understand robotic actions and intentions, including studies on cognitive load, mental models, and the effects of anthropomorphism.
Recent publications in the ACM Transactions on Human-Robot Interaction indicate several emerging themes that reflect the evolving landscape of HRI research. These trends highlight the increasing complexity and societal relevance of robotics.
  1. User-Centric Design and Participatory Approaches:
    An increasing trend towards involving users in the design and development process of robots, ensuring that the systems meet real-world needs and preferences.
  2. Socially Assistive Robots:
    A growing focus on robots designed to assist individuals socially, particularly in healthcare and educational settings, emphasizing their role in enhancing emotional well-being and social interaction.
  3. Explainable AI in Robotics:
    Emerging research on the need for robots to provide clear explanations of their actions and decisions, improving user trust and understanding of robotic behavior.
  4. Ethical Robotics and Societal Implications:
    A heightened awareness and investigation into the ethical implications of robot deployment in daily life, particularly concerning privacy, autonomy, and social norms.
  5. Multi-Modal Interaction Methods:
    Increased exploration of multi-modal interaction techniques, such as combining verbal, non-verbal, and sensory feedback to create richer interactions between humans and robots.
  6. Integration of AI and Machine Learning:
    The integration of advanced AI techniques, including machine learning, in enhancing the adaptability and responsiveness of robots to human behavior and preferences.

Declining or Waning

While certain themes have gained momentum in recent years, some areas of research in the ACM Transactions on Human-Robot Interaction appear to be diminishing in focus. This may reflect changes in technological advancements or shifting interests within the field.
  1. Traditional Robotics Applications:
    Research focused on conventional industrial applications and basic robotic automation seems to be declining as the field shifts towards more complex and interactive human-robot relationships.
  2. Simple Task Automation:
    Studies emphasizing straightforward robotic task automation are becoming less prevalent, replaced by a focus on collaborative and socially aware robots that can adapt to dynamic human interactions.
  3. Static User Interfaces:
    Research on static or non-adaptive user interfaces for HRI is waning, with a growing emphasis on interfaces that adapt to user needs and contextual changes in real-time.
  4. Basic Trust Models:
    The exploration of simplistic models of trust in HRI is decreasing, as the field moves towards more nuanced understandings of trust dynamics that incorporate emotional and contextual factors.
  5. Robotic Aesthetics without Contextual Application:
    Research on the aesthetics of robots that does not consider their practical applications in social contexts appears to be losing traction, as the emphasis shifts toward design that enhances interaction quality.

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