ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems. - Patrice Y. Simard; David Maxwell Chickering; Aparna Lakshmiratan; Denis Xavier Charles; Léon Bottou; Carlos Garcia Jurado Suarez; David Grangier; Saleema Amershi; Johan Verwey; Jina Suh (CoRR, 2014)

ModelTracker: Redesigning Performance Analysis Tools for Machine Learning. - Saleema Amershi; Max Chickering; Steven Mark Drucker; Bongshin Lee; Patrice Y. Simard; Jina Suh (CHI, 2015)

The Value of Semantic Parse Labeling for Knowledge Base Question Answering. - Wen-tau Yih; Matthew Richardson; Christopher Meek; Ming-Wei Chang; Jina Suh (ACL (2), 2016)

The Label Complexity of Mixed-Initiative Classifier Training. - Jina Suh; Xiaojin Zhu 001; Saleema Amershi (ICML, 2016)

Interactive Semantic Featuring for Text Classification. - Camille Jandot; Patrice Y. Simard; Max Chickering; David Grangier; Jina Suh (CoRR, 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)

Machine Teaching: A New Paradigm for Building Machine Learning Systems. - Patrice Y. Simard; Saleema Amershi; David Maxwell Chickering; Alicia Edelman Pelton; Soroush Ghorashi; Christopher Meek; Gonzalo A. Ramos; Jina Suh; Johan Verwey; Mo Wang; John Wernsing (CoRR, 2017)

Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers. - Donghao Ren; Saleema Amershi; Bongshin Lee; Jina Suh; Jason D. Williams (IEEE Trans. Vis. Comput. Graph., 2017)

Grounding Interactive Machine Learning Tool Design in How Non-Experts Actually Build Models. - Qian Yang 004; Jina Suh; Nan-Chen Chen; Gonzalo A. Ramos (Conference on Designing Interactive Systems, 2018)

AnchorViz: Facilitating Classifier Error Discovery through Interactive Semantic Data Exploration. - Nan-Chen Chen; Jina Suh; Johan Verwey; Gonzalo A. Ramos; Steven Mark Drucker; Patrice Y. Simard (IUI, 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)

Guidelines for Human-AI Interaction. - Saleema Amershi; Daniel S. Weld; Mihaela Vorvoreanu; Adam Fourney; Besmira Nushi; Penny Collisson; Jina Suh; Shamsi T. Iqbal; Paul N. Bennett; Kori Inkpen; Jaime Teevan; Ruth Kikin-Gil; et al. (CHI, 2019)

Emerging Perspectives in Human-Centered Machine Learning. - Gonzalo A. Ramos; Jina Suh; Soroush Ghorashi; Christopher Meek; Richard Banks; Saleema Amershi; Rebecca Fiebrink; Alison Smith-Renner; Gagan Bansal (CHI Extended Abstracts, 2019)

Understanding and Supporting Knowledge Decomposition for Machine Teaching. - Felicia Ng; Jina Suh; Gonzalo A. Ramos (Conference on Designing Interactive Systems, 2020)

Design and evaluation of intelligent agent prototypes for assistance with focus and productivity at work. - Ted Grover; Kael Rowan; Jina Suh; Daniel McDuff; Mary Czerwinski (IUI, 2020)

Data-Driven Implications for Translating Evidence-Based Psychotherapies into Technology-Delivered Interventions. - Jessica Schroeder; Jina Suh; Chelsey Wilkes; Mary Czerwinski; Sean A. Munson; James Fogarty; Tim Althoff (PervasiveHealth, 2020)

Interactive machine teaching: a human-centered approach to building machine-learned models. - Gonzalo A. Ramos; Christopher Meek; Patrice Y. Simard; Jina Suh; Soroush Ghorashi (Hum. Comput. Interact., 2020)

Parallel Journeys of Patients with Cancer and Depression: Challenges and Opportunities for Technology-Enabled Collaborative Care. - Jina Suh; Spencer Williams; Jesse R. Fann; James Fogarty; Amy M. Bauer; Gary Hsieh (Proc. ACM Hum. Comput. Interact., 2020)

AnchorViz: Facilitating Semantic Data Exploration and Concept Discovery for Interactive Machine Learning. - Jina Suh; Soroush Ghorashi; Gonzalo A. Ramos; Nan-Chen Chen; Steven Mark Drucker; Johan Verwey; Patrice Y. Simard (ACM Trans. Interact. Intell. Syst., 2020)

Guidelines for Assessing and Minimizing Risks of Emotion Recognition Applications. - Javier Hernandez; Josh Lovejoy; Daniel McDuff; Jina Suh; Tim O'Brien; Arathi Sethumadhavan; Gretchen Greene; Rosalind W. Picard; Mary Czerwinski (ACII, 2021)

AffectiveSpotlight: Facilitating the Communication of Affective Responses from Audience Members during Online Presentations. - Prasanth Murali; Javier Hernandez; Daniel McDuff; Kael Rowan; Jina Suh; Mary Czerwinski (CHI, 2021)

MeetingCoach: An Intelligent Dashboard for Supporting Effective & Inclusive Meetings. - Samiha Samrose; Daniel McDuff; Robert Sim; Jina Suh; Kael Rowan; Javier Hernandez; Sean Rintel; Kevin Moynihan; Mary Czerwinski (CHI, 2021)

Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications. - Jina Suh; Eric Horvitz; Ryen W. White; Tim Althoff (WSDM, 2021)

Toward a more empathic relationship between humans and computing systems: an interview with HUE group's Mary Czerwinski, Jina Suh, and Gonzalo Ramos. - Xuhai Xu; Karan Ahuja; Jasmine Lu; Mary Czerwinski; Jina Suh; Gonzalo A. Ramos (XRDS, 2021)

Advancing the Understanding and Measurement of Workplace Stress in Remote Information Workers from Passive Sensors and Behavioral Data. - Mehrab Bin Morshed; Javier Hernandez; Daniel McDuff; Jina Suh; Esther Howe; Kael Rowan; Marah Ihab Abdin; Gonzalo A. Ramos; Tracy Tran; Mary Czerwinski (ACII, 2022)

Design of Digital Workplace Stress-Reduction Intervention Systems: Effects of Intervention Type and Timing. - Esther Howe; Jina Suh; Mehrab Bin Morshed; Daniel McDuff; Kael Rowan; Javier Hernandez; Marah Ihab Abdin; Gonzalo A. Ramos; Tracy Tran; Mary Czerwinski (CHI, 2022)

ForSense: Accelerating Online Research Through Sensemaking Integration and Machine Research Support. - Gonzalo A. Ramos; Napol Rachatasumrit; Jina Suh; Rachel Ng; Christopher Meek (ACM Trans. Interact. Intell. Syst., 2022)

Do You Even Need Sensors?: Synthetic Biomusic as an Empathic Technology. - Daway Chou-Ren; Mike Winters; Javier Hernandez; Daniel McDuff; Jina Suh; Vanessa Rodriguez; Gonzalo A. Ramos; Mary Czerwinski (ACII, 2023)

Investigating Self-supervised Learning for Predicting Stress and Stressors from Passive Sensing. - Harish Haresamudram; Jina Suh; Javier Hernandez; Jenna L. Butler; Ahad Chaudhry; Longqi Yang; Koustuv Saha; Mary Czerwinski (ACIIW, 2023)

Towards Successful Deployment of Wellbeing Sensing Technologies: Identifying Misalignments across Contextual Boundaries. - Jina Suh; Javier Hernandez; Koustuv Saha; Kathy Dixon; Mehrab Bin Morshed; Esther Howe; Anna Kawakami; Mary Czerwinski (ACIIW, 2023)

Lessons Learned for Data-Driven Implementation Intentions with Mental Contrasting. - Yasaman S. Sefidgar; Matthew Jörke; Jina Suh; Koustuv Saha; Shamsi T. Iqbal; Gonzalo A. Ramos; Mary P. Czerwinski (CHI Extended Abstracts, 2023)

Focused Time Saves Nine: Evaluating Computer-Assisted Protected Time for Hybrid Information Work. - Vedant Das Swain; Javier Hernandez; Brian Houck; Koustuv Saha; Jina Suh; Ahad Chaudhry; Tenny Cho; Wendy Guo; Shamsi T. Iqbal; Mary Czerwinski (CHI, 2023)

Can Workers Meaningfully Consent to Workplace Wellbeing Technologies? - Shreya Chowdhary; Anna Kawakami; Mary L. Gray; Jina Suh; Alexandra Olteanu; Koustuv Saha (FAccT, 2023)

Pearl: A Technology Probe for Machine-Assisted Reflection on Personal Data. - Matthew Jörke; Yasaman S. Sefidgar; Talie Massachi; Jina Suh; Gonzalo A. Ramos (IUI, 2023)

FoundWright: A System to Help People Re-find Pages from Their Web-history. - Haekyu Park; Gonzalo A. Ramos; Jina Suh; Christopher Meek; Rachel Ng; Mary Czerwinski (CoRR, 2023)

Affective Conversational Agents: Understanding Expectations and Personal Influences. - Javier Hernandez; Jina Suh; Judith Amores; Kael Rowan; Gonzalo A. Ramos; Mary Czerwinski (CoRR, 2023)

Responsible AI Research Needs Impact Statements Too. - Alexandra Olteanu; Michael D. Ekstrand; Carlos Castillo 001; Jina Suh (CoRR, 2023)

Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders. - Anna Kawakami; Shreya Chowdhary; Shamsi T. Iqbal; Q. Vera Liao; Alexandra Olteanu; Jina Suh; Koustuv Saha (Proc. ACM Hum. Comput. Interact., 2023)

Human-Centered and Computational Understanding for the Design and Adaptation of Mental Health and Well-being Interventions - Jina Suh (2023)

Large Language Models Produce Responses Perceived to be Empathic. - Yoon Kyung Lee; Jina Suh; Hongli Zhan; Junyi Jessy Li; Desmond C. Ong (ACII, 2024)

IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction. - Inna W. Lin; Ashish Sharma 004; Christopher Michael Rytting; Adam S. Miner; Jina Suh; Tim Althoff (ACL (1), 2024)

DISCERN: Designing Decision Support Interfaces to Investigate the Complexities of Workplace Social Decision-Making With Line Managers. - Pranav Khadpe; Lindy Le; Kate Nowak; Shamsi T. Iqbal; Jina Suh (CHI, 2024)

The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing. - Alice Qian Zhang; Ryland Shaw; Jacy Reese Anthis; Ashlee Milton; Emily Tseng; Jina Suh; Lama Ahmad; Ram Shankar Siva Kumar; Julian Posada; Benjamin Shestakofsky; Sarah T. Roberts; Mary L. Gray (CSCW Companion, 2024)

Youth WellTech: A Global Remote Co-Design Sprint for Youth Mental Health Technology. - Kenji Phang; Siddharth Saarathi Pradhan; Chino Ikwuegbu; Gonzalo A. Ramos; Denae Ford; Ebele Okoli; Salman Muin Kayser Chishti; Jina Suh (CoRR, 2024)

From User Surveys to Telemetry-Driven Agents: Exploring the Potential of Personalized Productivity Solutions. - Subigya Nepal; Javier Hernandez; Talie Massachi; Kael Rowan; Judith Amores; Jina Suh; Gonzalo Ramos 001; Brian Houck; Shamsi T. Iqbal; Mary Czerwinski (CoRR, 2024)

Large Language Models are Capable of Offering Cognitive Reappraisal, if Guided. - Hongli Zhan; Allen Zheng; Yoon Kyung Lee; Jina Suh; Junyi Jessy Li; Desmond C. Ong (CoRR, 2024)

Understanding Communication Preferences of Information Workers in Engagement with Text-Based Conversational Agents. - Ananya Bhattacharjee; Jina Suh; Mahsa Ershadi; Shamsi T. Iqbal; Andrew D. Wilson; Javier Hernandez (CoRR, 2024)

AURA: Amplifying Understanding, Resilience, and Awareness for Responsible AI Content Work. - Alice Qian Zhang; Judith Amores; Mary L. Gray; Mary Czerwinski; Jina Suh (CoRR, 2024)

AI Red-Teaming is a Sociotechnical System. Now What? - Tarleton Gillespie; Ryland Shaw; Mary L. Gray; Jina Suh (CoRR, 2024)

Editorial: Digital mental health and wellbeing under crisis. - Koustuv Saha; Kokil Jaidka; Jennifer Kim; Jina Suh (Frontiers Digit. Health, 2024)

Towards Inclusive Futures for Worker Wellbeing. - Sachin R. Pendse; Talie Massachi; Jalehsadat Mahdavimoghaddam; Jenna L. Butler; Jina Suh; Mary Czerwinski (Proc. ACM Hum. Comput. Interact., 2024)

Improving Work-Nonwork Balance with Data-Driven Implementation Intention and Mental Contrasting. - Yasaman S. Sefidgar; Matthew Jörke; Jina Suh; Koustuv Saha; Shamsi T. Iqbal; Gonzalo A. Ramos; Mary Czerwinski (Proc. ACM Hum. Comput. Interact., 2024)

"I Want It That Way": Enabling Interactive Decision Support Using Large Language Models and Constraint Programming. - Connor Lawless; Jakob Schoeffer; Lindy Le; Kael Rowan; Shilad Sen; Cristina St. Hill; Jina Suh; Bahareh Sarrafzadeh (ACM Trans. Interact. Intell. Syst., 2024)

AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworker. - Vedant Das Swain; Qiuyue "Joy" Zhong; Jash Rajesh Parekh; Yechan Jeon; Roy Zimmermann; Mary P. Czerwinski; Jina Suh; Varun Mishra 001; Koustuv Saha; Javier Hernandez (CHI, 2025)

From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents. - Mohit Chandra; Suchismita Naik; Denae Ford; Ebele Okoli; Munmun De Choudhury; Mahsa Ershadi; Gonzalo A. Ramos; Javier Hernandez; Ananya Bhattacharjee; Shahed Warreth; Jina Suh (FAccT, 2025)

When Testing AI Tests Us: Safeguarding Mental Health on the Digital Frontlines. - Sachin R. Pendse; Darren Gergle; Rachel Kornfield; Jonah Meyerhoff; David C. Mohr; Jina Suh; Annie B. Wescott; Casey Williams; Jessica Schleider (FAccT, 2025)

Dear Diary: A Randomized Controlled Trial of Generative AI Coding Tools in the Workplace. - Jenna L. Butler; Jina Suh; Sankeerti Haniyur; Constance Hadley (SEIP@ICSE, 2025)

Effective Automation to Support the Human Infrastructure in AI Red Teaming. - Alice Qian Zhang; Jina Suh; Mary L. Gray; Hong Shen 004 (Interactions, 2025)

SCOPE: Examining Technology-Enhanced Collaborative Care Management of Depression in the Cancer Setting. - Anant Mittal; Tae Jones; Ravi Karkar; Jina Suh; Spencer Williams; Yihao Zheng; Lydia M. Andris; Nicole Bates; Amy M. Bauer; Ty W. Lostuter; Jesse R. Fann; James Fogarty; et al. (Proc. ACM Hum. Comput. Interact., 2025)

AURA: Amplifying Understanding, Resilience, and Awareness for Responsible AI Content Work. - Alice Qian Zhang; Judith Amores; Hong Shen 004; Mary Czerwinski; Mary L. Gray; Jina Suh (Proc. ACM Hum. Comput. Interact., 2025)

Triple Peak Day: Work Rhythms of Software Developers in Hybrid Work. - Javier Hernandez; Vedant Das Swain; Jina Suh; Daniel McDuff; Judith Amores; Gonzalo Ramos 001; Kael Rowan; Brian Houck; Shamsi T. Iqbal; Mary Czerwinski (IEEE Trans. Software Eng., 2025)

Uncovering inequalities in new knowledge learning by large language models across different languages. - Chenglong Wang 004; Haoyu Tang; Xiyuan Yang; Yueqi Xie; Jina Suh; Sunayana Sitaram; Junming Huang 001; Yu Xie; Zhaoya Gong; Xing Xie 001; Fangzhao Wu (CoRR, 2025)

Longitudinal Study on Social and Emotional Use of AI Conversational Agent. - Mohit Chandra; Javier Hernandez; Gonzalo Ramos 001; Mahsa Ershadi; Ananya Bhattacharjee; Judith Amores; Ebele Okoli; Ann Paradiso; Shahed Warreth; Jina Suh (CoRR, 2025)

Locating Risk: Task Designers and the Challenge of Risk Disclosure in RAI Content Work. - Alice Qian Zhang; Ryland Shaw; Laura Dabbish; Jina Suh; Hong Shen 004 (CoRR, 2025)