Jina Suh

Orcid: 0000-0002-7646-5563

According to our database1, Jina Suh authored at least 45 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Large Language Models Produce Responses Perceived to be Empathic.
CoRR, 2024

DISCERN: Designing Decision Support Interfaces to Investigate the Complexities of Workplace Social Decision-Making With Line Managers.
CoRR, 2024

IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction.
CoRR, 2024

From User Surveys to Telemetry-Driven Agents: Exploring the Potential of Personalized Productivity Solutions.
CoRR, 2024

Youth WellTech: A Global Remote Co-Design Sprint for Youth Mental Health Technology.
CoRR, 2024

2023
Human-Centered and Computational Understanding for the Design and Adaptation of Mental Health and Well-being Interventions
PhD thesis, 2023

Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders.
Proc. ACM Hum. Comput. Interact., 2023

"I Want It That Way": Enabling Interactive Decision Support Using Large Language Models and Constraint Programming.
CoRR, 2023

Responsible AI Research Needs Impact Statements Too.
CoRR, 2023

Affective Conversational Agents: Understanding Expectations and Personal Influences.
CoRR, 2023

FoundWright: A System to Help People Re-find Pages from Their Web-history.
CoRR, 2023

Pearl: A Technology Probe for Machine-Assisted Reflection on Personal Data.
Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?
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.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Lessons Learned for Data-Driven Implementation Intentions with Mental Contrasting.
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.
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.
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.
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.
ACM Trans. Interact. Intell. Syst., December, 2022

Design of Digital Workplace Stress-Reduction Intervention Systems: Effects of Intervention Type and Timing.
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.
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.
XRDS, 2021

Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications.
Proceedings of the WSDM '21, 2021

MeetingCoach: An Intelligent Dashboard for Supporting Effective & Inclusive Meetings.
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.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Guidelines for Assessing and Minimizing Risks of Emotion Recognition Applications.
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.
ACM Trans. Interact. Intell. Syst., 2020

Parallel Journeys of Patients with Cancer and Depression: Challenges and Opportunities for Technology-Enabled Collaborative Care.
Proc. ACM Hum. Comput. Interact., 2020

Interactive machine teaching: a human-centered approach to building machine-learned models.
Hum. Comput. Interact., 2020

Data-Driven Implications for Translating Evidence-Based Psychotherapies into Technology-Delivered Interventions.
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.
Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

Understanding and Supporting Knowledge Decomposition for Machine Teaching.
Proceedings of the DIS '20: Designing Interactive Systems Conference 2020, 2020

2019
Emerging Perspectives in Human-Centered Machine Learning.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Guidelines for Human-AI Interaction.
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.
ACM Trans. Interact. Intell. Syst., 2018

AnchorViz: Facilitating Classifier Error Discovery through Interactive Semantic Data Exploration.
Proceedings of the 23rd International Conference on Intelligent User Interfaces, 2018

Grounding Interactive Machine Learning Tool Design in How Non-Experts Actually Build Models.
Proceedings of the 2018 on Designing Interactive Systems Conference 2018, 2018

2017
Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers.
IEEE Trans. Vis. Comput. Graph., 2017

Machine Teaching: A New Paradigm for Building Machine Learning Systems.
CoRR, 2017

Aeonium: Visual analytics to support collaborative qualitative coding.
Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017

2016
Interactive Semantic Featuring for Text Classification.
CoRR, 2016

The Label Complexity of Mixed-Initiative Classifier Training.
Proceedings of the 33nd International Conference on Machine Learning, 2016

The Value of Semantic Parse Labeling for Knowledge Base Question Answering.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
ModelTracker: Redesigning Performance Analysis Tools for Machine Learning.
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.
CoRR, 2014


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