Jina Suh

According to our database, Jina Suh authored at least 53 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., September, 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

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

Editorial: Digital mental health and wellbeing under crisis.

Koustuv Saha, Kokil Jaidka, Jennifer Kim, Jina Suh

Frontiers Digit. Health, 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

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

Dear Diary: A randomized controlled trial of Generative AI coding tools in the workplace.

Jenna L. Butler, Jina Suh, Sankeerti Haniyur, Constance Hadley

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

Large Language Models Produce Responses Perceived to be Empathic.

Yoon Kyung Lee, Jina Suh, Hongli Zhan, Junyi Jessy Li, Desmond C. Ong

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, Brian Houck, Shamsi T. Iqbal, Mary Czerwinski

CoRR, 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

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

Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 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

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction.

Inna W. Lin, Ashish Sharma, Christopher Michael Rytting, Adam S. Miner, Jina Suh, Tim Althoff

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Human-Centered and Computational Understanding for the Design and Adaptation of Mental Health and Well-being Interventions

Jina Suh

PhD thesis, 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

Responsible AI Research Needs Impact Statements Too.

Alexandra Olteanu, Michael D. Ekstrand, Carlos Castillo, Jina Suh

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

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

Pearl: A Technology Probe for Machine-Assisted Reflection on Personal Data.

Matthew Jörke, Yasaman S. Sefidgar, Talie Massachi, Jina Suh, Gonzalo A. Ramos

Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?

Shreya Chowdhary, Anna Kawakami, Mary L. Gray, Jina Suh, Alexandra Olteanu, Koustuv Saha

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 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

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 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

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 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

Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 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

Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023

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

Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, 2023

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., December, 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

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

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

Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022

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

Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications.

Jina Suh, Eric Horvitz, Ryen W. White, Tim Althoff

Proceedings of the WSDM '21, 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

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 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

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

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

Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

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

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

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

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

Proceedings of the PervasiveHealth '20: 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, 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

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

Understanding and Supporting Knowledge Decomposition for Machine Teaching.

Felicia Ng, Jina Suh, Gonzalo A. Ramos

Proceedings of the DIS '20: Designing Interactive Systems Conference 2020, 2020

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

Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

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, Eric Horvitz

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

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

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

Proceedings of the 23rd International Conference on Intelligent User Interfaces, 2018

Grounding Interactive Machine Learning Tool Design in How Non-Experts Actually Build Models.

Qian Yang, Jina Suh, Nan-Chen Chen, Gonzalo A. Ramos

Proceedings of the 2018 on Designing Interactive Systems Conference 2018, 2018

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

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

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

Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017

2016

Interactive Semantic Featuring for Text Classification.

Camille Jandot, Patrice Y. Simard, Max Chickering, David Grangier, Jina Suh

CoRR, 2016

The Label Complexity of Mixed-Initiative Classifier Training.

Jina Suh, Xiaojin Zhu, Saleema Amershi

Proceedings of the 33nd International Conference on Machine Learning, 2016

The Value of Semantic Parse Labeling for Knowledge Base Question Answering.

Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

ModelTracker: Redesigning Performance Analysis Tools for Machine Learning.

Saleema Amershi, Max Chickering, Steven Mark Drucker, Bongshin Lee, Patrice Y. Simard, Jina Suh

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014

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