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ACM Transactions on Interactive Intelligent Systems is a peer-reviewed journal published by ACM, covering Data Visualization and Analytics, Explainable Artificial Intelligence (XAI), Ethics and Social Impacts of AI. Over its lifetime it has published 468 papers, which have received 17,418 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 Interactive Intelligent Systems 12, 3, Article 45 (2023).
Formats any DOI in ACM Transactions on Interactive Intelligent Systems style. No sign-up. |
| Publishes research in | Data Visualization and Analytics Explainable Artificial Intelligence (XAI) Ethics and Social Impacts of AI Recommender Systems and Techniques Social Robot Interaction and HRI |
| ISSN | 2160-6455 |
| Citation impact (2-yr) | 6.01 |
| h-index | 60 |
| i10-index | 258 |
| Top institutions publishing here | Carnegie Mellon University |
| Journal website | tiis.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.
The MovieLens datasets are widely used in education, research, and industry. They are downloaded hundreds of thousands of times each year, reflecting their use in popular press programming books, traditional and online courses, and software. These datasets are a product of member activity in the MovieLens movie recommendation system, an active research platform that has…
This article attempts to bridge the gap between widely discussed ethical principles of Human-centered AI (HCAI) and practical steps for effective governance. Since HCAI systems are developed and implemented in multiple organizational structures, I propose 15 recommendations at three levels of governance: team, organization, and industry. The recommendations are intended to increase the reliability, safety,…
What makes a good recommendation or good list of recommendations? Research into recommender systems has traditionally focused on accuracy, in particular how closely the recommender’s predicted ratings are to the users’ true ratings. However, it has been recognized that other recommendation qualities—such as whether the list of recommendations is diverse and whether it contains novel…
Cyberbullying (harassment on social networks) is widely recognized as a serious social problem, especially for adolescents. It is as much a threat to the viability of online social networks for youth today as spam once was to email in the early days of the Internet. Current work to tackle this problem has involved social and…
We present AutoTutor and Affective AutoTutor as examples of innovative 21 st century interactive intelligent systems that promote learning and engagement. AutoTutor is an intelligent tutoring system that helps students compose explanations of difficult concepts in Newtonian physics and enhances computer literacy and critical thinking by interacting with them in natural language with adaptive dialog…
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