ACM Transactions on Interactive Intelligent Systems

Papers
(The TQCC of ACM Transactions on Interactive Intelligent Systems is 7. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems245
Chatbots to Support Young Adults’ Mental Health: An Exploratory Study of Acceptability42
An Empirical Study of Older Adult’s Voice Assistant Use for Health Information Seeking35
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making27
Generating and Understanding Personalized Explanations in Hybrid Recommender Systems24
Visualization and Visual Analytics Approaches for Image and Video Datasets: A Survey24
Toward Involving End-users in Interactive Human-in-the-loop AI Fairness21
Co-design of Human-centered, Explainable AI for Clinical Decision Support18
Humanized Recommender Systems: State-of-the-art and Research Issues18
Smell Pittsburgh16
An Agile New Research Framework for Hybrid Human-AI Teaming: Trust, Transparency, and Transferability16
Explainable Activity Recognition for Smart Home Systems15
Understanding, Discovering, and Mitigating Habitual Smartphone Use in Young Adults15
Projection Path Explorer: Exploring Visual Patterns in Projected Decision-making Paths14
Discourse Behavior of Older Adults Interacting with a Dialogue Agent Competent in Multiple Topics13
Effects of Explanations in AI-Assisted Decision Making: Principles and Comparisons13
Toward Responsible AI: An Overview of Federated Learning for User-centered Privacy-preserving Computing13
Predicting Visual Search Task Success from Eye Gaze Data as a Basis for User-Adaptive Information Visualization Systems12
Experiences of a Speech-enabled Conversational Agent for the Self-report of Well-being among People Living with Affective Disorders: An In-the-Wild Study12
Promoting Energy-Efficient Behavior by Depicting Social Norms in a Recommender Interface11
Auto-Icon+ : An Automated End-to-End Code Generation Tool for Icon Designs in UI Development11
FAtiMA Toolkit: Toward an Accessible Tool for the Development of Socio-emotional Agents10
EDAssistant: Supporting Exploratory Data Analysis in Computational Notebooks with In Situ Code Search and Recommendation10
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces10
A Taxonomy of Property Measures to Unify Active Learning and Human-centered Approaches to Data Labeling9
Developing Conversational Agents for Use in Criminal Investigations9
Algorithmic and HCI Aspects for Explaining Recommendations of Artistic Images9
QuestionComb: A Gamification Approach for the Visual Explanation of Linguistic Phenomena through Interactive Labeling9
Socially Aware Navigation: A Non-linear Multi-objective Optimization Approach8
Directive Explanations for Actionable Explainability in Machine Learning Applications8
“I don’t know what you mean by `I am anxious'”: A New Method for Evaluating Conversational Agent Responses to Standardized Mental Health Inputs for Anxiety and Depression7
Effects of AI and Logic-Style Explanations on Users’ Decisions Under Different Levels of Uncertainty7
After-Action Review for AI (AAR/AI)7
Synthesizing Game Levels for Collaborative Gameplay in a Shared Virtual Environment7
A Multilingual Neural Coaching Model with Enhanced Long-term Dialogue Structure7
How Do Users Experience Traceability of AI Systems? Examining Subjective Information Processing Awareness in Automated Insulin Delivery (AID) Systems7
The Role of Explainable AI in the Research Field of AI Ethics7
Emerging ExG-based NUI Inputs in Extended Realities: A Bottom-up Survey7
Initial Responses to False Positives in AI-Supported Continuous Interactions: A Colonoscopy Case Study7
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