Horvitz, Eric

Guidelines for Human-AI Interaction

Amershi, S., Weld, D., Vorvoreanu, M., Fourney, A., Nushi, B., Collisson, P., Suh, J., Iqbal, S., Bennett, P. N., Inkpen, K., et al. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 2,439

Sparks of Artificial General Intelligence: Early experiments with GPT-4

Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Lee, Y. T., Li, Y., Lundberg, S., et al. (2023) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 1,526

Principles of mixed-initiative user interfaces

Horvitz, E. (1999) · Proceedings of the SIGCHI conference on Human factors in computing systems the CHI is the limit - CHI '99

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 1,490

A diary study of task switching and interruptions

Czerwinski, M., Horvitz, E., & Wilhite, S. (2004) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Personal Information Management and User BehaviorUsability and User Interface Design

Cited by 830

Large Language Model Influence on Diagnostic Reasoning: A Randomized Clinical Trial

Goh, E., Gallo, R., Hom, J., Strong, E., Weng, Y., Kerman, H., Cool, J. A., Kanjee, Z., Parsons, A. S., Ahuja, N., et al. (2024) · JAMA Network Open

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 724

Cyberchondria: studies of the escalation of medical concerns in web search

White, R. W., & Horvitz, E. (2009) · ACM Transactions on Information Systems

Health Literacy and Information AccessibilityInformation Retrieval and Search Behavior

Cited by 546

Capabilities of GPT-4 on Medical Challenge Problems

Nori, H., King, N., McKinney, S. M., Carignan, D., & Horvitz, E. (2023) · arXiv

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 509

Social media as a measurement tool of depression in populations

De Choudhury, M., Counts, S., & Horvitz, E. (2013) · Proceedings of the 5th Annual ACM Web Science Conference

Mental Health via WritingSentiment Analysis and Opinion Mining

Cited by 497

Long-Term Trends in the Public Perception of Artificial Intelligence

Fast, E., & Horvitz, E. (2017) · Proceedings of the AAAI Conference on Artificial Intelligence

Ethics and Social Impacts of AISentiment Analysis and Opinion Mining

Cited by 467

Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance

Bansal, G., Nushi, B., Kamar, E., Lasecki, W. S., Weld, D. S., & Horvitz, E. (2019) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

Human-Automation Interaction and SafetyExplainable Artificial Intelligence (XAI)

Cited by 466

Layered representations for learning and inferring office activity from multiple sensory channels

Oliver, N., Garg, A., & Horvitz, E. (2004) · Computer Vision and Image Understanding

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 316

Layered representations for human activity recognition

Oliver, N., Horvitz, E., & Garg, A. (2003) · Proceedings. Fourth IEEE International Conference on Multimodal Interfaces

Context-Aware Activity Recognition SystemsBayesian Modeling and Causal Inference

Cited by 312

Disruption and recovery of computing tasks: field study, analysis, and directions

Iqbal, S. T., & Horvitz, E. (2007) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Personal Information Management and User BehaviorUsability and User Interface Design

Cited by 300

Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff

Bansal, G., Nushi, B., Kamar, E., Weld, D. S., Lasecki, W. S., & Horvitz, E. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 284

Data, privacy, and the greater good

Horvitz, E., & Mulligan, D. (2015) · Science

Privacy-Preserving Technologies in DataThoreau and American Literature

Cited by 267

A study of preferences for sharing and privacy

Olson, J. S., Grudin, J., & Horvitz, E. (2005) · CHI '05 Extended Abstracts on Human Factors in Computing Systems

Privacy, Security, and Data ProtectionPrivacy-Preserving Technologies in Data

Cited by 263

Cooperative AI: machines must learn to find common ground

Dafoe, A., Bachrach, Y., Hadfield, G., Horvitz, E., Larson, K., & Graepel, T. (2021) · Nature

Ethics and Social Impacts of AIMulti-Agent Systems and Negotiation

Cited by 232

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Nori, H., Lee, Y. T., Zhang, S., Carignan, D., Edgar, R., Fusi, N., King, N., Larson, J., Li, Y., Liu, W., et al. (2023) · arXiv

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 178

BusyBody: creating and fielding personalized models of the cost of interruption

Horvitz, E., Koch, P., & Apacible, J. (2004) · Proceedings of the 2004 ACM conference on Computer supported cooperative work

Personal Information Management and User BehaviorContext-Aware Activity Recognition Systems

Cited by 150

Conversation as Action Under Uncertainty

Paek, T., & Horvitz, E. J. (2013) · arXiv

Speech and dialogue systemsSpeech Recognition and Synthesis

Cited by 145

Models for multiparty engagement in open-world dialog

Bohus, D., & Horvitz, E. (2009) · Proceedings of the SIGDIAL 2009 Conference on The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue - SIGDIAL '09

Speech and dialogue systemsSocial Robot Interaction and HRI

Cited by 145

Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure

Nushi, B., Kamar, E., & Horvitz, E. (2018) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 126

A study in transfer learning: leveraging data from multiple hospitals to enhance hospital-specific predictions

Wiens, J., Guttag, J., & Horvitz, E. (2014) · Journal of the American Medical Informatics Association

Clostridium difficile and Clostridium perfringens researchMachine Learning in Healthcare

Cited by 123

Data-Driven Decisions for Reducing Readmissions for Heart Failure: General Methodology and Case Study

Bayati, M., Braverman, M., Gillam, M., Mack, K. M., Ruiz, G., Smith, M. S., & Horvitz, E. (2014) · PLoS ONE

Heart Failure Treatment and ManagementArtificial Intelligence in Healthcare

Cited by 122