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ACM Transactions on Human-Robot Interaction is a peer-reviewed journal published by ACM, covering Social Robot Interaction and HRI, Human-Automation Interaction and Safety, AI in Service Interactions. Over its lifetime it has published 463 papers, which have received 8,346 citations.
| Publisher | ACM |
|---|---|
| Reference style | Numbered (ACM) Numbered — [1], [2] in the text [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. ACM Transactions on Human-Robot Interaction 12, 3, Article 45 (2023).
Formats any DOI in ACM Transactions on Human-Robot Interaction style. No sign-up. |
| Publishes research in | Social Robot Interaction and HRI Human-Automation Interaction and Safety AI in Service Interactions Robot Manipulation and Learning Ethics and Social Impacts of AI |
| ISSN | 2573-9522 |
| Citation impact (2-yr) | 5.45 |
| h-index | 46 |
| i10-index | 206 |
| Top institutions publishing here | Kyoto University |
| Journal website | thri.acm.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Robot navigation in crowded public spaces is a complex task that requires addressing a variety of engineering and human factors challenges. These challenges have motivated a great amount of research resulting in important developments for the fields of robotics and human-robot interaction over the past three decades. Despite the significant progress and the massive recent…
Human-robot interaction (HRI) research to date has been dominated by laboratory studies, largely examining a single human interacting with a single robot. This research has helped establish a fundamental understanding about people as they interact with robots, how specific design choices affect interactions with robots, and how novel mechanisms or computational tools can be used…
Trust in autonomy is essential for effective human-robot collaboration and user adoption of autonomous systems such as robot assistants. This article introduces a computational model that integrates trust into robot decision making. Specifically, we learn from data a partially observable Markov decision process (POMDP) with human trust as a latent variable. The trust-POMDP model provides…
Robot-assisted language learning (RALL) is becoming a more commonly studied area of human-robot interaction (HRI). This research draws on theories and methods from many different fields, with researchers utilizing different instructional methods, robots, and populations to evaluate the effectiveness of RALL. This survey details the characteristics of robots used—form, voice, immediacy, non-verbal cues, and personalization—along…
Due to rising demands on productivity and flexibility, assembly processes are currently experiencing a substantial transformation. Workstations where humans and robots work closely together are becoming increasingly popular, as they provide major advantages compared to manual assembly and full automation. Yet, human-robot collaboration (HRC) can only be successful if the workforce is willing to accept…
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