Rachel Kornfield

Orcid: 0000-0001-8542-6913

According to our database1, Rachel Kornfield authored at least 21 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
"Our Job is to be so Temporary": Designing Digital Tools that Meet the Needs of Care Managers and their Patients with Mental Health Concerns.
Proc. ACM Hum. Comput. Interact., 2023

Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination.
CoRR, 2023

Bridging HCI and Implementation Science for Innovation Adoption and Public Health Impact.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Integrating Individual and Social Contexts into Self-Reflection Technologies.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Patient-provider communication while using a clinical decision support tool: explaining satisfaction with shared decision making for mammography screening.
BMC Medical Informatics Decis. Mak., December, 2022

Meeting Young Adults' Social Support Needs across the Health Behavior Change Journey: Implications for Digital Mental Health Tools.
Proc. ACM Hum. Comput. Interact., 2022

Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health Messages.
Proc. ACM Hum. Comput. Interact., 2022

"I Kind of Bounce off It": Translating Mental Health Principles into Real Life Through Story-Based Text Messages.
Proc. ACM Hum. Comput. Interact., 2022

Human-machine teaming is key to AI adoption: clinicians' experiences with a deployed machine learning system.
npj Digit. Medicine, 2022

"I Wanted to See How Bad it Was": Online Self-screening as a Critical Transition Point Among Young Adults with Common Mental Health Conditions.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young Adults.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Applying User-Centered Design Methods to Understand Users' Day-to-Day Experiences Can Inform a Mobile Intervention for Binge Eating and Weight Management.
Frontiers Digit. Health, 2021

2020
Designing Mental Health Technologies that Support the Social Ecosystem of College Students.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

"Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

University students' information behavior when experiencing mental health symptoms.
Proceedings of the Information for a Sustainable World: Addressing Society's Grand Challenges, 2020

2019
Provider Perspectives on Integrating Sensor-Captured Patient-Generated Data in Mental Health Care.
Proc. ACM Hum. Comput. Interact., 2019

Understanding Mental Ill-health as Psychosocial Disability: Implications for Assistive Technology.
Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility, 2019

2017
Movement Matters: Effects of Motion and Mimicry on Perception of Similarity and Closeness in Robot-Mediated Communication.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2014
Detecting Campaign Promoters on Twitter Using Markov Random Fields.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014


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