Anthropometric Facial Emotion Recognition. - Julia Jarkiewicz; Rafal Kocielnik; Krzysztof Marasek (HCI (2), 2009)

Visual fidelity of video prototypes and user feedback: a case study. - Beant Dhillon; P. Banach; Rafal Kocielnik; Jorge Peregrín Emparanza; Ioannis Politis; A. Paczewska; Panos Markopoulos 001 (BCS HCI, 2011)

Culture and Facial Expressions: A Case Study with a Speech Interface. - Beant Dhillon; Rafal Kocielnik; Ioannis Politis; Marc Swerts; Dalila Szostak (INTERACT (2), 2011)

Stress Analytics in Education. - Rafal Kocielnik; Mykola Pechenizkiy; Natalia Sidorova (EDM, 2012)

Stess@Work: from measuring stress to its understanding, prediction and handling with personalized coaching. - Jorn Bakker; Leszek Holenderski; Rafal Kocielnik; Mykola Pechenizkiy; Natalia Sidorova (IHI, 2012)

A Trust Evaluation Framework for Sensor Readings in Body Area Sensor Networks. - Vinh T. Bui; Richard Verhoeven; Johan Lukkien; Rafal Kocielnik (BODYNETS, 2013)

Smart technologies for long-term stress monitoring at work. - Rafal Kocielnik; Natalia Sidorova; Fabrizio Maria Maggi; Martin Ouwerkerk; Joyce H. D. M. Westerink (CBMS, 2013)

Enabling self-reflection with LifelogExplorer: Generating simple views from complex data. - Rafal Kocielnik; Fabrizio Maria Maggi; Natalia Sidorova (PervasiveHealth, 2013)

Wireless multi sensor bracelet with discreet feedback. - Martin Ouwerkerk; Pierre Dandine; Dennis Bolio; Rafal Kocielnik; Johanna Mercurio; Henk Huijgen; Joyce H. D. M. Westerink (Wireless Health, 2013)

Personalized Stress Management: Enabling Stress Monitoring with LifelogExplorer. - Rafal Kocielnik; Natalia Sidorova (Künstliche Intell., 2015)

You Get Who You Pay for: The Impact of Incentives on Participation Bias. - Gary Hsieh; Rafal Kocielnik (CSCW, 2016)

Toward a portable, self-administered critical flicker frequency test. - Ravi Karkar; Rafal Kocielnik; Xiaoyi Zhang 006; James Fogarty; George N. Ioannou; Sean A. Munson; Jasmine Zia (UbiComp Adjunct, 2016)

Aeonium: Visual analytics to support collaborative qualitative coding. - Margaret Drouhard; Nan-Chen Chen; Jina Suh; Rafal Kocielnik; Vanessa Peña Araya; Keting Cen; Xiangyi Zheng; Cecilia R. Aragon (PacificVis, 2017)

Designing interactive distance cartograms to support urban travelers. - Sungsoo (Ray) Hong; Rafal Kocielnik; Min-Joon Yoo; Sarah Battersby; Juho Kim 001; Cecilia R. Aragon (PacificVis, 2017)

Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop. - Justin Cranshaw; Emad Elwany; Todd Newman; Rafal Kocielnik; Bowen Yu 001; Sandeep Soni; Jaime Teevan; Andrés Monroy-Hernández (CHI, 2017)

Send Me a Different Message: Utilizing Cognitive Space to Create Engaging Message Triggers. - Rafal Kocielnik; Gary Hsieh (CSCW, 2017)

SparQs: Visual Analytics for Sparking Creativity in Social Media Exploration. - Nan-Chen Chen; Michael Brooks; Rafal Kocielnik; Sungsoo (Ray) Hong; Jeff Smith; Sanny Lin; Zening Qu; Cecilia R. Aragon (HCI (13), 2017)

Lariat: A Visual Analytics Tool for Social Media Researchers to Explore Twitter Datasets. - Nan-Chen Chen; Michael Brooks; Rafal Kocielnik; Sungsoo (Ray) Hong; Jeff Smith; Sanny Lin; Zening Qu; Cecilia R. Aragon (HICSS, 2017)

Designing for Workplace Reflection: A Chat and Voice-Based Conversational Agent. - Rafal Kocielnik; Daniel Avrahami; Jennifer Marlow; Di Lu 002; Gary Hsieh (Conference on Designing Interactive Systems, 2018)

Challenges and Opportunities for Technology-Supported Activity Reporting in the Workplace. - Di Lu 002; Jennifer Marlow; Rafal Kocielnik; Daniel Avrahami (CHI, 2018)

Facilitating Self-learning in Behavior Change Through Long-term Intelligent Conversational Assistance. - Rafal Kocielnik; Gary Hsieh (IUI, 2018)

Beacon: Designing a Portable Device for Self-Administering a Measure of Critical Flicker Frequency. - Ravi Karkar; Rafal Kocielnik; Xiaoyi Zhang 006; Jasmine Zia; George N. Ioannou; Sean A. Munson; James Fogarty (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Reflection Companion: A Conversational System for Engaging Users in Reflection on Physical Activity. - Rafal Kocielnik; Lillian Xiao; Daniel Avrahami; Gary Hsieh (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Reciprocity and Donation: How Article Topic, Quality and Dwell Time Predict Banner Donation on Wikipedia. - Rafal Kocielnik; Os Keyes; Jonathan T. Morgan; Dario Taraborelli; David W. McDonald; Gary Hsieh (Proc. ACM Hum. Comput. Interact., 2018)

Using Machine Learning to Support Qualitative Coding in Social Science: Shifting the Focus to Ambiguity. - Nan-Chen Chen; Margaret Drouhard; Rafal Kocielnik; Jina Suh; Cecilia R. Aragon (ACM Trans. Interact. Intell. Syst., 2018)

Helping Users Reflect on Their Own Health-Related Behaviors. - Rafal Kocielnik; Gary Hsieh; Daniel Avrahami (Studies in Conversational UX Design, 2018)

HarborBot: A Chatbot for Social Needs Screening. - Rafal D. Kocielnik; Elena Agapie; Alexander Argyle; Dennis T. Hsieh; Kabir Yadav; Breena Taira; Gary Hsieh (AMIA, 2019)

Will You Accept an Imperfect AI?: Exploring Designs for Adjusting End-user Expectations of AI Systems. - Rafal Kocielnik; Saleema Amershi; Paul N. Bennett (CHI, 2019)

Conversational Agents for Health and Wellbeing. - Ahmet Baki Kocaballi; Juan C. Quiroz; Liliana Laranjo; Dana Rezazadegan; Rafal Kocielnik; Leigh Clark; Q. Vera Liao; Sun Young Park; Robert J. Moore; Adam S. Miner (CHI Extended Abstracts, 2020)

Can I Talk to You about Your Social Needs? Understanding Preference for Conversational User Interface in Health. - Rafal Kocielnik; Raina Langevin; James S. George; Shota Akenaga; Amelia Wang; Darwin P. Jones; Alexander Argyle; Callan Fockele; Layla Anderson; Dennis T. Hsieh; Kabir Yadav; Herbert Duber; et al. (CUI, 2021)

Understanding the Role of User Interface for Multi-Criteria Decision-Making in Supporting Exploratory Usage of Information Systems. - Sungsoo Ray Hong; Rafal Kocielnik; Cecilia R. Aragon; Sarah Battersby; Juho Kim 001 (HICSS, 2021)

Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases. - Shrimai Prabhumoye; Rafal Kocielnik; Mohammad Shoeybi; Anima Anandkumar; Bryan Catanzaro (CoRR, 2021)

From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks. - Hyeonsu B. Kang; Rafal Kocielnik; Andrew Head; Jiangjiang Yang; Matt Latzke; Aniket Kittur; Daniel S. Weld; Doug Downey; Jonathan Bragg (CHI, 2022)

Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions. - Rafal Kocielnik; Sara Kangaslahti; Shrimai Prabhumoye; Meena Hari; R. Michael Alvarez; Anima Anandkumar (TL4NLP, 2022)

Special Issue on Conversational Agents for Healthcare and Wellbeing. - Ahmet Baki Kocaballi; Liliana Laranjo; Leigh Clark; Rafal Kocielnik; Robert J. Moore; Q. Vera Liao; Timothy W. Bickmore (ACM Trans. Interact. Intell. Syst., 2022)

Exploring Social Bias in Downstream Applications of Text-to-Image Foundation Models. - Adhithya Prakash Saravanan; Rafal Kocielnik; Roy Jiang; Pengrui Han; Anima Anandkumar (ICBINB, 2023)

Deep Multimodal Fusion for Surgical Feedback Classification. - Rafal Kocielnik; Elyssa Y. Wong; Timothy N. Chu; Lydia Lin; De-An Huang; Jiayun Wang; Anima Anandkumar; Andrew J. Hung (ML4H@NeurIPS, 2023)

AutoBiasTest: Controllable Sentence Generation for Automated and Open-Ended Social Bias Testing in Language Models. - Rafal Kocielnik; Shrimai Prabhumoye; Vivian Zhang; R. Michael Alvarez; Anima Anandkumar (CoRR, 2023)

Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness Assessment. - Arushi Gupta; Rafal Kocielnik; Jiayun Wang; Firdavs Nasriddinov; Cherine Yang; Elyssa Y. Wong; Anima Anandkumar; Andrew J. Hung (ML4H@NeurIPS, 2024)

Automating Feedback Analysis in Surgical Training: Detection, Categorization, and Assessment. - Firdavs Nasriddinov; Rafal Kocielnik; Arushi Gupta; Cherine Yang; Elyssa Y. Wong; Anima Anandkumar; Andrew J. Hung (ML4H@NeurIPS, 2024)

ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs. - Pengrui Han; Rafal Kocielnik; Adhithya Prakash Saravanan; Roy Jiang; Or Sharir; Anima Anandkumar (CoRR, 2024)

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. - Hyewon Jeong; Sarah Jabbour; Yuzhe Yang 003; Rahul Thapa; Hussein Mozannar; William Jongwon Han; Nikita Mehandru; Michael Wornow; Vladislav Lialin; Xin Liu 034; Alejandro Lozano; Jiacheng Zhu; et al. (CoRR, 2024)

Online Moderation in Competitive Action Games: How Intervention Affects Player Behaviors. - Zhuofang Li; Rafal Kocielnik; Mitchell Linegar; Deshawn Sambrano; Fereshteh Soltani; Min Kim; Nabiha Naqvie; Grant Cahill; Animashree Anandkumar; R. Michael Alvarez (CoRR, 2024)

Challenges in moderating disruptive player behavior in online competitive action games. - Rafal Kocielnik; Zhuofang Li; Claudia Kann; Deshawn Sambrano; Jacob Morrier; Mitchell Linegar; Carly Taylor; Min Kim; Nabiha Naqvie; Feri Soltani; Arman Dehpanah; Grant Cahill; et al. (Frontiers Comput. Sci., 2024)

Human AI collaboration for unsupervised categorization of live surgical feedback. - Rafal Kocielnik; Cherine H. Yang; Runzhuo Ma; Steven Y. Cen; Elyssa Y. Wong; Timothy N. Chu; J. Everett Knudsen; Peter Wager; John Heard; Umar Ghaffar; Anima Anandkumar; Andrew J. Hung (npj Digit. Medicine, 2024)

Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games. - Jacob Morrier; Rafal Kocielnik; R. Michael Alvarez (IEEE Access, 2025)

Reinforcement Learning for Efficient Toxicity Detection in Competitive Online Video Games. - Jacob Morrier; Rafal Kocielnik; R. Michael Alvarez (CoRR, 2025)

Context-Aware Toxicity Detection in Multiplayer Games: Integrating Domain-Adaptive Pretraining and Match Metadata. - Adrien Schurger-Foy; Rafal Kocielnik; Caglar Gulcehre; R. Michael Alvarez (CoRR, 2025)

Self-Anchored Attention Model for Sample-Efficient Classification of Prosocial Text Chat. - Zhuofang Li; Rafal Kocielnik; Fereshteh Soltani; Penphob Boonyarungsrit; Animashree Anandkumar; R. Michael Alvarez (CoRR, 2025)

Prosocial Behavior Detection in Player Game Chat: From Aligning Human-AI Definitions to Efficient Annotation at Scale. - Rafal Kocielnik; Min Kim; Penphob Boonyarungsrit; Fereshteh Soltani; Deshawn Sambrano; Animashree Anandkumar; R. Michael Alvarez (CoRR, 2025)