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ORCIDRafal Kocielnik
Rafal D. Kocielnik – Rafal Dariusz Kocielnik
Person information
- affiliation: California Institute of Technology (Caltech), CA, USA
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2020 – today
- 2025
[j9]Jacob Morrier
, Rafal Kocielnik, R. Michael Alvarez:
Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games. IEEE Access 13: 103109-103117 (2025)- [i15]Jacob Morrier, Rafal Kocielnik, R. Michael Alvarez:
Reinforcement Learning for Efficient Toxicity Detection in Competitive Online Video Games. CoRR abs/2503.20968 (2025) - [i14]Adrien Schurger-Foy, Rafal Kocielnik, Caglar Gulcehre, R. Michael Alvarez:
Context-Aware Toxicity Detection in Multiplayer Games: Integrating Domain-Adaptive Pretraining and Match Metadata. CoRR abs/2504.01534 (2025) - [i13]Zhuofang Li, Rafal Kocielnik, Fereshteh Soltani, Penphob Boonyarungsrit, Animashree Anandkumar, R. Michael Alvarez:
Self-Anchored Attention Model for Sample-Efficient Classification of Prosocial Text Chat. CoRR abs/2506.09259 (2025) - 2024
- [j8]Rafal Kocielnik, Zhuofang Li, Claudia Kann, Deshawn Sambrano, Jacob Morrier, Mitchell Linegar, Carly Taylor, Min Kim, Nabiha Naqvie, Feri Soltani, Arman Dehpanah, Grant Cahill, Animashree Anandkumar, R. Michael Alvarez:
Challenges in moderating disruptive player behavior in online competitive action games. Frontiers Comput. Sci. 6 (2024) - [j7]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:
Human AI collaboration for unsupervised categorization of live surgical feedback. npj Digit. Medicine 7(1) (2024) - [c31]Arushi Gupta, Rafal Kocielnik, Jiayun Wang, Firdavs Nasriddinov, Cherine Yang, Elyssa Y. Wong, Anima Anandkumar, Andrew J. Hung:
Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness Assessment. ML4H@NeurIPS 2024: 440-455 - [c30]Firdavs Nasriddinov, Rafal Kocielnik, Arushi Gupta, Cherine Yang, Elyssa Y. Wong, Anima Anandkumar, Andrew J. Hung:
Automating Feedback Analysis in Surgical Training: Detection, Categorization, and Assessment. ML4H@NeurIPS 2024: 787-804 - [i12]Pengrui Han, Rafal Kocielnik, Adhithya Prakash Saravanan, Roy Jiang, Or Sharir, Anima Anandkumar:
ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs. CoRR abs/2402.11764 (2024) - [i11]Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo:
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR abs/2403.01628 (2024) - [i10]Zhuofang Li, Rafal Kocielnik, Mitchell Linegar, Deshawn Sambrano, Fereshteh Soltani, Min Kim, Nabiha Naqvie, Grant Cahill, Animashree Anandkumar, R. Michael Alvarez:
Online Moderation in Competitive Action Games: How Intervention Affects Player Behaviors. CoRR abs/2411.01057 (2024) - [i9]Arushi Gupta, Rafal Kocielnik, Jiayun Wang, Firdavs Nasriddinov, Cherine Yang, Elyssa Y. Wong, Anima Anandkumar, Andrew J. Hung:
Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness Assessment. CoRR abs/2411.10919 (2024) - [i8]Firdavs Nasriddinov, Rafal Kocielnik, Arushi Gupta, Cherine Yang, Elyssa Y. Wong, Anima Anandkumar, Andrew J. Hung:
Automating Feedback Analysis in Surgical Training: Detection, Categorization, and Assessment. CoRR abs/2412.00760 (2024) - 2023
- [c29]Adhithya Prakash Saravanan, Rafal Kocielnik, Roy Jiang, Pengrui Han, Anima Anandkumar:
Exploring Social Bias in Downstream Applications of Text-to-Image Foundation Models. ICBINB 2023: 84-102 - [c28]Rafal Kocielnik, Elyssa Y. Wong, Timothy N. Chu, Lydia Lin, De-An Huang, Jiayun Wang, Anima Anandkumar, Andrew J. Hung:
Deep Multimodal Fusion for Surgical Feedback Classification. ML4H@NeurIPS 2023: 256-267 - [i7]Rafal Kocielnik, Shrimai Prabhumoye, Vivian Zhang, R. Michael Alvarez, Anima Anandkumar:
AutoBiasTest: Controllable Sentence Generation for Automated and Open-Ended Social Bias Testing in Language Models. CoRR abs/2302.07371 (2023) - [i6]Rafal Kocielnik, Elyssa Y. Wong, Timothy N. Chu, Lydia Lin, De-An Huang, Jiayun Wang, Anima Anandkumar, Andrew J. Hung:
Deep Multimodal Fusion for Surgical Feedback Classification. CoRR abs/2312.03231 (2023) - [i5]Adhithya Prakash Saravanan, Rafal Kocielnik, Roy Jiang, Pengrui Han, Anima Anandkumar:
Exploring Social Bias in Downstream Applications of Text-to-Image Foundation Models. CoRR abs/2312.10065 (2023) - 2022
- [j6]Ahmet Baki Kocaballi, Liliana Laranjo, Leigh Clark, Rafal Kocielnik, Robert J. Moore, Q. Vera Liao, Timothy W. Bickmore:
Special Issue on Conversational Agents for Healthcare and Wellbeing. ACM Trans. Interact. Intell. Syst. 12(2): 9:1-9:3 (2022) - [c27]Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg:
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks. CHI 2022: 302:1-302:23 - [c26]Rafal Kocielnik, Sara Kangaslahti, Shrimai Prabhumoye, Meena Hari, R. Michael Alvarez, Anima Anandkumar:
Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions. TL4NLP 2022: 22-32 - [i4]Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg:
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks. CoRR abs/2204.10254 (2022) - [i3]Rafal Kocielnik, Sara Kangaslahti, Shrimai Prabhumoye, Meena Hari, R. Michael Alvarez, Anima Anandkumar:
Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions. CoRR abs/2211.11798 (2022) - 2021
- [c25]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, Gary Hsieh, Andrea L. Hartzler:
Can I Talk to You about Your Social Needs? Understanding Preference for Conversational User Interface in Health. CUI 2021: 4:1-4:10 - [c24]Sungsoo Ray Hong, Rafal Kocielnik, Cecilia R. Aragon, Sarah Battersby, Juho Kim:
Understanding the Role of User Interface for Multi-Criteria Decision-Making in Supporting Exploratory Usage of Information Systems. HICSS 2021: 1-12 - [i2]Shrimai Prabhumoye, Rafal Kocielnik, Mohammad Shoeybi, Anima Anandkumar, Bryan Catanzaro:
Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases. CoRR abs/2112.07868 (2021) - 2020
- [c23]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:
Conversational Agents for Health and Wellbeing. CHI Extended Abstracts 2020: 1-8 - [e2]Regina Bernhaupt, Florian 'Floyd' Mueller, David Verweij, Josh Andres, Joanna McGrenere, Andy Cockburn, Ignacio Avellino, Alix Goguey, Pernille Bjøn, Shengdong Zhao, Briane Paul Samson, Rafal Kocielnik:
CHI '20: CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA, April 25-30, 2020. ACM 2020, ISBN 978-1-4503-6708-0 [contents] - [e1]Regina Bernhaupt, Florian 'Floyd' Mueller, David Verweij, Josh Andres, Joanna McGrenere, Andy Cockburn, Ignacio Avellino, Alix Goguey, Pernille Bjøn, Shengdong Zhao, Briane Paul Samson, Rafal Kocielnik:
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, HI, USA, April 25-30, 2020. ACM 2020, ISBN 978-1-4503-6819-3 [contents]
2010 – 2019
- 2019
- [c22]Rafal D. Kocielnik, Elena Agapie, Alexander Argyle, Dennis T. Hsieh, Kabir Yadav, Breena Taira, Gary Hsieh:
HarborBot: A Chatbot for Social Needs Screening. AMIA 2019 - [c21]Rafal Kocielnik, Saleema Amershi, Paul N. Bennett:
Will You Accept an Imperfect AI?: Exploring Designs for Adjusting End-user Expectations of AI Systems. CHI 2019: 411 - 2018
- [j5]Rafal Kocielnik, Lillian Xiao, Daniel Avrahami, Gary Hsieh:
Reflection Companion: A Conversational System for Engaging Users in Reflection on Physical Activity. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(2): 70:1-70:26 (2018) - [j4]Ravi Karkar, Rafal Kocielnik, Xiaoyi Zhang, Jasmine Zia, George N. Ioannou, Sean A. Munson, James Fogarty:
Beacon: Designing a Portable Device for Self-Administering a Measure of Critical Flicker Frequency. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(3): 117:1-117:27 (2018) - [j3]Rafal Kocielnik, Os Keyes, Jonathan T. Morgan, Dario Taraborelli, David W. McDonald, Gary Hsieh:
Reciprocity and Donation: How Article Topic, Quality and Dwell Time Predict Banner Donation on Wikipedia. Proc. ACM Hum. Comput. Interact. 2(CSCW): 91:1-91:20 (2018) - [j2]Nan-Chen Chen, Margaret Drouhard, Rafal Kocielnik, Jina Suh, Cecilia R. Aragon:
Using Machine Learning to Support Qualitative Coding in Social Science: Shifting the Focus to Ambiguity. ACM Trans. Interact. Intell. Syst. 8(2): 9:1-9:20 (2018) - [c20]Rafal Kocielnik, Daniel Avrahami, Jennifer Marlow, Di Lu, Gary Hsieh:
Designing for Workplace Reflection: A Chat and Voice-Based Conversational Agent. Conference on Designing Interactive Systems 2018: 881-894 - [c19]Di Lu, Jennifer Marlow, Rafal Kocielnik, Daniel Avrahami:
Challenges and Opportunities for Technology-Supported Activity Reporting in the Workplace. CHI 2018: 170 - [c18]Rafal Kocielnik, Gary Hsieh:
Facilitating Self-learning in Behavior Change Through Long-term Intelligent Conversational Assistance. IUI 2018: 683-684 - [p1]Rafal Kocielnik, Gary Hsieh, Daniel Avrahami:
Helping Users Reflect on Their Own Health-Related Behaviors. Studies in Conversational UX Design 2018: 85-115 - 2017
- [c17]Sungsoo (Ray) Hong, Rafal Kocielnik, Min-Joon Yoo, Sarah Battersby, Juho Kim, Cecilia R. Aragon:
Designing interactive distance cartograms to support urban travelers. PacificVis 2017: 81-90 - [c16]Margaret Drouhard, Nan-Chen Chen, Jina Suh, Rafal Kocielnik, Vanessa Peña Araya, Keting Cen, Xiangyi Zheng, Cecilia R. Aragon:
Aeonium: Visual analytics to support collaborative qualitative coding. PacificVis 2017: 220-229 - [c15]Justin Cranshaw, Emad Elwany, Todd Newman, Rafal Kocielnik, Bowen Yu, Sandeep Soni, Jaime Teevan, Andrés Monroy-Hernández:
Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop. CHI 2017: 2382-2393 - [c14]Rafal Kocielnik, Gary Hsieh:
Send Me a Different Message: Utilizing Cognitive Space to Create Engaging Message Triggers. CSCW 2017: 2193-2207 - [c13]Nan-Chen Chen, Michael Brooks, Rafal Kocielnik, Sungsoo (Ray) Hong, Jeff Smith, Sanny Lin, Zening Qu, Cecilia R. Aragon:
SparQs: Visual Analytics for Sparking Creativity in Social Media Exploration. HCI (13) 2017: 394-405 - [c12]Nan-Chen Chen, Michael Brooks, Rafal Kocielnik, Sungsoo (Ray) Hong, Jeff Smith, Sanny Lin, Zening Qu, Cecilia R. Aragon:
Lariat: A Visual Analytics Tool for Social Media Researchers to Explore Twitter Datasets. HICSS 2017: 1-10 - [i1]Justin Cranshaw, Emad Elwany, Todd Newman, Rafal Kocielnik, Bowen Yu, Sandeep Soni, Jaime Teevan, Andrés Monroy-Hernández:
Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop. CoRR abs/1703.08428 (2017) - 2016
- [c11]Gary Hsieh, Rafal Kocielnik:
You Get Who You Pay for: The Impact of Incentives on Participation Bias. CSCW 2016: 821-833 - [c10]Ravi Karkar, Rafal Kocielnik, Xiaoyi Zhang, James Fogarty, George N. Ioannou, Sean A. Munson, Jasmine Zia:
Toward a portable, self-administered critical flicker frequency test. UbiComp Adjunct 2016: 1194-1199 - 2015
- [j1]Rafal Kocielnik, Natalia Sidorova:
Personalized Stress Management: Enabling Stress Monitoring with LifelogExplorer. Künstliche Intell. 29(2): 115-122 (2015) - 2013
- [c9]Vinh T. Bui, Richard Verhoeven, Johan Lukkien, Rafal Kocielnik:
A Trust Evaluation Framework for Sensor Readings in Body Area Sensor Networks. BODYNETS 2013: 495-501 - [c8]Rafal Kocielnik, Natalia Sidorova, Fabrizio Maria Maggi, Martin Ouwerkerk, Joyce H. D. M. Westerink:
Smart technologies for long-term stress monitoring at work. CBMS 2013: 53-58 - [c7]Rafal Kocielnik, Fabrizio Maria Maggi, Natalia Sidorova:
Enabling self-reflection with LifelogExplorer: Generating simple views from complex data. PervasiveHealth 2013: 184-191 - [c6]Martin Ouwerkerk, Pierre Dandine, Dennis Bolio, Rafal Kocielnik, Johanna Mercurio, Henk Huijgen, Joyce H. D. M. Westerink:
Wireless multi sensor bracelet with discreet feedback. Wireless Health 2013: 6:1-6:8 - 2012
- [c5]Rafal Kocielnik, Mykola Pechenizkiy, Natalia Sidorova:
Stress Analytics in Education. EDM 2012: 236-237 - [c4]Jorn Bakker, Leszek Holenderski, Rafal Kocielnik, Mykola Pechenizkiy, Natalia Sidorova:
Stess@Work: from measuring stress to its understanding, prediction and handling with personalized coaching. IHI 2012: 673-678 - 2011
- [c3]Beant Dhillon, P. Banach, Rafal Kocielnik, Jorge Peregrín Emparanza, Ioannis Politis, A. Paczewska, Panos Markopoulos:
Visual fidelity of video prototypes and user feedback: a case study. BCS HCI 2011: 139-144 - [c2]Beant Dhillon, Rafal Kocielnik, Ioannis Politis, Marc Swerts, Dalila Szostak:
Culture and Facial Expressions: A Case Study with a Speech Interface. INTERACT (2) 2011: 392-404
2000 – 2009
- 2009
- [c1]Julia Jarkiewicz, Rafal Kocielnik, Krzysztof Marasek:
Anthropometric Facial Emotion Recognition. HCI (2) 2009: 188-197
Coauthor Index
Anima Anandkumar
aka: Animashree Anandkumar
aka: Animashree Anandkumar
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last updated on 2025-08-21 01:50 CEST by the dblp team
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