Proceedings of the 28th International Conference on Intelligent User Interfaces

Using an LLM to Help With Code Understanding

Nam, D., Macvean, A., Hellendoorn, V., Vasilescu, B., & Myers, B. (2024) · Proceedings of the IEEE/ACM 46th International Conference on Software Engineering · doi:10.1145/3597503.3639187 · Cited by 345 · see citing works

Human-centred learning analytics and AI in education: A systematic literature review

Alfredo, R., Echeverria, V., Jin, Y., Yan, L., Swiecki, Z., Gašević, D., & Martinez-Maldonado, R. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100215 · Cited by 281 · see citing works

Unveiling the black box: A systematic review of Explainable Artificial Intelligence in medical image analysis

Muhammad, D., & Bendechache, M. (2024) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2024.08.005 · Cited by 310 · see citing works

Artificial intelligence for teaching and learning in schools: The need for pedagogical intelligence

Díaz, B., & Nussbaum, M. (2024) · Computers & Education · doi:10.1016/j.compedu.2024.105071 · Cited by 148 · see citing works

A Review and Taxonomy of Interactive Optimization Methods in Operations Research

Meignan, D., Knust, S., Frayret, J., Pesant, G., & Gaud, N. (2015) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/2808234 · Cited by 128 · see citing works

A framework and exemplars for ethical and responsible use of AI Chatbot technology to support teaching and learning

Chauncey, S. A., & McKenna, H. P. (2023) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100182 · Cited by 91 · see citing works

AI makes you smarter but none the wiser: The disconnect between performance and metacognition

Fernandes, D., Villa, S., Nicholls, S., Haavisto, O., Buschek, D., Schmidt, A., Kosch, T., Shen, C., & Welsch, R. (2025) · Computers in Human Behavior · doi:10.1016/j.chb.2025.108779 · Cited by 101 · see citing works

Confirmation bias in AI-assisted decision-making: AI triage recommendations congruent with expert judgments increase psychologist trust and recommendation acceptance

Bashkirova, A., & Krpan, D. (2024) · Computers in Human Behavior: Artificial Humans · doi:10.1016/j.chbah.2024.100066 · Cited by 55 · see citing works

Human-AI collaboration: Unraveling the effects of user proficiency and AI agent capability in intelligent decision support systems

Peng, L., Li, D., Zhang, Z., Zhang, T., Huang, A., Yang, S., & Hu, Y. (2024) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2024.103629 · Cited by 59 · see citing works

WorldSmith: Iterative and Expressive Prompting for World Building with a Generative AI

Dang, H., Brudy, F., Fitzmaurice, G. W., & Anderson, F. (2023) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3586183.3606772 · Cited by 49 · see citing works

The revolution of generative artificial intelligence in psychology: The interweaving of behavior, consciousness, and ethics

Chen, D., Liu, Y., Guo, Y., & Zhang, Y. (2024) · Acta Psychologica · doi:10.1016/j.actpsy.2024.104593 · Cited by 41 · see citing works

Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap

Tekkesinoglu, S., Habibovic, A., & Kunze, L. (2025) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3714478 · Cited by 34 · see citing works

Trust, distrust, and appropriate reliance in (X)AI: A conceptual clarification of user trust and survey of its empirical evaluation

Visser, R. W., Peters, T. M., Scharlau, I., & Hammer, B. (2025) · Cognitive Systems Research · doi:10.1016/j.cogsys.2025.101357 · Cited by 47 · see citing works

Automatic item generation in various STEM subjects using large language model prompting

Chan, K. W., Ali, F., Park, J., Sham, K. S. B., Tan, E. Y. T., Chong, F. W. C., Qian, K., & Sze, G. K. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100344 · Cited by 38 · see citing works

Intelligent systems in healthcare: A systematic survey of explainable user interfaces

Cálem, J., Moreira, C., & Jorge, J. A. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.108908 · Cited by 32 · see citing works

“I Want It That Way”: Enabling Interactive Decision Support Using Large Language Models and Constraint Programming

Lawless, C., Schoeffer, J., Le, L., Rowan, K., Sen, S., Hill, C. S., Suh, J., & Sarrafzadeh, B. (2024) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3685053 · Cited by 24 · see citing works

Examining the impact of large language models on design: Functions, strengths, limitations, and roles

Zhou, Y., & Chen, C. (2025) · Design and Artificial Intelligence · doi:10.1016/j.daai.2025.100017 · Cited by 24 · see citing works

PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Papers

Lee, Y., Kang, H. B., Latzke, M., Kim, J., Bragg, J., Chang, J. C., & Siangliulue, P. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642196 · Cited by 23 · see citing works

Integrated visual analysis of patterns in time series and text data - Workflow and application to financial data analysis

Wanner, F., Jentner, W., Schreck, T., Stoffel, A., Sharalieva, L., & Keim, D. A. (2015) · Information Visualization · doi:10.1177/1473871615576925 · Cited by 19 · see citing works

Understanding users’ AI manipulation intention: An empirical investigation of the antecedents in the context of AI recommendation algorithms

Kim, T., & Im, I. (2024) · Information & Management · doi:10.1016/j.im.2024.104061 · Cited by 19 · see citing works

Whom do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation

Wardatzky, K., Inel, O., Rossetto, L., & Bernstein, A. (2025) · ACM Transactions on Recommender Systems · doi:10.1145/3716394 · Cited by 20 · see citing works

Cracking the AI recruitment code: Striving for transparency in finding the right person–job fit

Chen, A., Han, F., Zhang, X., & Lu, Y. (2025) · Information & Management · doi:10.1016/j.im.2025.104156 · Cited by 19 · see citing works

Microfoundations of rationality in the age of AI: On emotions, bodies and intelligence

Stein, M., & Shollo, A. (2025) · Information and Organization · doi:10.1016/j.infoandorg.2025.100583 · Cited by 15 · see citing works

Effects of interaction modalities and emotional states on user’s perceived empathy with an LLM-based embodied conversational agent

Gao, Y., Dai, Y., Zhang, G., Guo, H., Hao, A., & Li, S. (2025) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2025.103585 · Cited by 14 · see citing works

“Hey Genie, You Got Me Thinking about My Menu Choices!” Impact of Proactive Feedback on User Perception and Reflection in Decision-making Tasks

Dubiel, M., Leiva, L. A., Bongard-Blanchy, K., & Sergeeva, A. (2024) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3685274 · Cited by 15 · see citing works

Information that matters: Exploring information needs of people affected by algorithmic decisions

Schmude, T., Koesten, L. M., Möller, T. B., & Tschiatschek, S. (2024) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2024.103380 · Cited by 13 · see citing works

Translating code with Large Language Models and human-in-the-loop feedback

Siano, G. D. D., Fasolino, A. R., Sperlí, G., & Vignali, A. (2025) · Information and Software Technology · doi:10.1016/j.infsof.2025.107785 · Cited by 12 · see citing works

Evaluating explanation performance for clinical decision support systems for non-imaging data: A systematic literature review

Roychowdhury, S., Lanfranchi, V., & Suvodeep Mazumdar, A. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.110944 · Cited by 15 · see citing works

Towards Understanding AI Delegation: The Role of Self-Efficacy and Visual Processing Ability

Westphal, M., Hemmer, P., Vössing, M., Schemmer, M., Vetter, S., & Satzger, G. (2024) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3696423 · Cited by 10 · see citing works

Let’s Discover More API Relations: A Large Language Model-Based AI Chain for Unsupervised API Relation Inference

Huang, Q. Y., Sun, Y., Xing, Z., Cao, Y., Chen, J., Xu, X., Jin, H., & Lu, J. (2024) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3680469 · Cited by 9 · see citing works

The future of cognitive strategy-enhanced persuasive dialogue agents: new perspectives and trends

Chen, M., Guo, B., Wang, H., Li, H., Zhao, Q., Liu, J., Ding, Y., Pan, Y., & Yu, Z. (2024) · Frontiers of Computer Science · doi:10.1007/s11704-024-40057-x · Cited by 9 · see citing works

Empowering robotic training with kinesthetic learning and digital twins in human–centric industrial systems

Tran, T., Nguyen, Q. M., Luu, T., Tran, M., Kua, J., Hoang, T. N., & Dien, M. (2024) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2024.100743 · Cited by 11 · see citing works

Haptics-based, higher-order sensory substitution designed for object negotiation in blindness and low vision: Virtual Whiskers

Feng, J., Hamilton-Fletcher, G., Hudson, T. E., Beheshti, M., Porfiri, M., & Rizzo, J. (2025) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2025.2458112 · Cited by 8 · see citing works

Development and integration of human-AI interactions in service applications: Conceptual framework and review

Tugarin, N., & van Husen, C. (2025) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2025.100357 · Cited by 11 · see citing works

Generative artificial intelligence perspectives on typical landscape types: Can ChatGPT compete with human insight?

Liu, J., Zhang, T., Ma, Y., Hu, T., Lin, F., Liang, H., Yang, D., Pan, Y., Gao, D., Qiu, L., et al. (2025) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2025.105479 · Cited by 8 · see citing works

Analyzing Collaborative Challenges and Needs of UX Practitioners when Designing with AI/ML

Muralikumar, M. D., & McDonald, D. W. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3686986 · Cited by 7 · see citing works

Human performance effects of combining counterfactual explanations with normative and contrastive explanations in supervised machine learning for automated decision assistance

Gentile, D., Donmez, B., & Jamieson, G. A. (2024) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2024.103434 · Cited by 7 · see citing works

WearSE: Enabling Streaming Speech Enhancement on Eyewear Using Acoustic Sensing

Zhang, Q., Guo, K., Yang, Y., & Wang, D. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3712288 · Cited by 7 · see citing works

The Role of Large Language Model-Generated Stories in the Narrative Experience of Serious Visual Novel Games

Gursesli, M. C., Chen, S., Dewantoro, M. F., You, X., Anbar, E., Taveekitworachai, P., Abdullah, F., Tarchi, P., Duradoni, M., Lanatà, A., et al. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2528993 · Cited by 6 · see citing works

HELIOT: LLM-Based CDSS for adverse drug reaction management

Vito, G. D., Ferrucci, F., & Angelakis, A. (2025) · Knowledge-Based Systems · doi:10.1016/j.knosys.2025.114184 · Cited by 7 · see citing works

Chat as Learning in Interactive Information Retrieval and Generation

Yu, R., & Liu, J. (2025) · ACM SIGIR Forum · doi:10.1145/3769733.3769735 · Cited by 7 · see citing works

Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review

Wang, H., Guo, B., Zeng, Y., Chen, M., Ding, Y., Zhang, Y., Yao, L., & Yu, Z. (2025) · ACM Transactions on Information Systems · doi:10.1145/3715098 · Cited by 6 · see citing works

Inclusive Design of AI’s Explanations: Just for Those Previously Left Out?

Hamid, M. M., Moussaoui, F., Guevara, J. N., Anderson, A. W., Agarwal, P., Dodge, J. E., & Burnett, M. (2025) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3772074 · Cited by 7 · see citing works

TurnAware: motion-aware Augmented Reality information delivery while walking

Liu, S., & Lindlbauer, D. (2024) · Frontiers in Virtual Reality · doi:10.3389/frvir.2024.1484280 · Cited by 5 · see citing works

Supercapacitor Materials Database Generated using Web Scrapping and Natural Language Processing

Soni, T. C., Manoj, M. K., Verma, M. L., & Tripathi, M. K. (2025) · Journal of Molecular Graphics and Modelling · doi:10.1016/j.jmgm.2025.108980 · Cited by 5 · see citing works

InputJump: Augmented reality-facilitated cross-device input fusion based on spatial and semantic information

Zeng, X., Wang, X., Zhang, T., Yan, Y., & Chen, Y. (2024) · Virtual Reality & Intelligent Hardware · doi:10.1016/j.vrih.2024.10.001 · Cited by 4 · see citing works

Pedalling through Pixels: Decoding the methodological framework of virtual reality cycling research

Dressler, A. E., & Bachmann, C. (2025) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2025.04.011 · Cited by 3 · see citing works

DCSNN: An Efficient and High-speed sEMG-based Transient-state Micro-gesture Recognition Method on Wearable Devices

Han, Y., Zhao, W., Gao, G., Chen, X., Yin, J., Wang, L., Meng, X., Yu, Y., & Zhang, T. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3729494 · Cited by 3 · see citing works

From Product to Producer: The Impact of Perceptual Evidence and Robot Embodiment on the Human Assessment of AI Creativity

Pennanen, N., Linkola, S., Kantosalo, A., Hiillos, N., Männistö, T., & Christian Guckelsberger, B. (2025) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3711939 · Cited by 4 · see citing works

Potential of explanations in enhancing trust – What can we learn from autonomous vehicles to foster the development of trustworthy autonomous vessels?

Ranjan, R., Kulkarni, K., & Musharraf, M. (2025) · Ocean Engineering · doi:10.1016/j.oceaneng.2025.120753 · Cited by 3 · see citing works

SOLAR: Illuminating LLM performance in API discovery and service ranking for edge AI and IoT

Al‐Masri, E., & Subramanian, I. N. (2025) · Internet of Things · doi:10.1016/j.iot.2025.101630 · Cited by 3 · see citing works

Palette‐Based Recolouring of Gradient Meshes

de la Houssaije, W. A. V., Echevarria, J., & Kosinka, J. (2024) · Computer Graphics Forum · doi:10.1111/cgf.15258 · Cited by 1 · see citing works

Report on the CHIIR 2024, SIGIR 2024, and SIGIR-AP 2024 tutorials on Characterizing, Evaluating, and Mitigating Cognitive Biases in Interactive and Generative IR

Liu, J., & Azzopardi, L. A. (2025) · ACM SIGIR Forum · doi:10.1145/3769733.3769736 · Cited by 1 · see citing works

The Impact of Augmented Reality-Based Visual Alerts on the Safety and Experience of Electric Bicycle Riders

Fan, J., Wang, S., Chen, X., Yi, W., & Tan, H. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-93739-2_17

Reflection Stamps: A simple and positive method to support self-evaluation in illustration drawing

Tajika, S., Watanabe, H., Takegawa, Y., & Hirata, K. (2025) · Entertainment Computing · doi:10.1016/j.entcom.2025.100998

KI-Unterstützung zur Verarbeitung von Text- und Umweltdaten in der Gefährdungsbeurteilung

Westhoven, M., & Dietz, A. (2025) · Zeitschrift für Arbeitswissenschaft · doi:10.1007/s41449-025-00482-5

Proceedings of the 20th International Conference on Intelligent User Interfaces

Brdiczka, O., & USA, I. I. 2. I. C. O. I. U. I. 2. A. G. (2015)

Proceedings of the 25th International Conference on Intelligent User Interfaces

Paternò, F., Italy, I. '. 2. I. C. O. I. U. I. 2. C., Association for Computing Machinery-Digital Library, ACM Special Interest Group on Artificial Intelligence, ACM Special Interest Group on Computer-Human Interaction, & SIGs, A. (2020)

26th International Conference on Intelligent User Interfaces

Hammond, T., IUI '21: 26th International Conference on Intelligent User Interfaces 2021 College Station TX USA, Association for Computing Machinery-Digital Library, ACM Special Interest Group on Artificial Intelligence, ACM Special Interest Group on Computer-Human Interaction, & SIGs, A. (2021)

Proceedings of the 19th international conference on Intelligent User Interfaces

Kuflik, T., & Israel, I. I. 1. I. C. O. I. U. I. 2. H. (2014)

27th International Conference on Intelligent User Interfaces

Finland, I. '. 2. I. C. O. I. U. I. 2. H., Association for Computing Machinery-Digital Library, ACM Special Interest Group on Artificial Intelligence, ACM Special Interest Group on Computer-Human Interaction, & SIGs, A. (2022)