Joseph Jay Williams

About Joseph Jay Williams

Joseph Jay Williams, With an exceptional h-index of 30 and a recent h-index of 27 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Human Computer Interaction, Education & Mental Health, Adaptive A/B Experimentation, Applied ML/AI & Statistics, Psychology.

His recent articles reflect a diverse array of research interests and contributions to the field:

" Actually I Can Count My Blessings": User-Centered Design of an Application to Promote Gratitude Among Young Adults

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health

Student Interaction with Instructor Emails in Introductory and Upper-Year Computing Courses

Examining Intention to Major in Computer Science: Perceived Potential and Challenges

Exploring User Perspectives on Brief Reflective Questioning Activities for Stress Management: Mixed Methods Study

Small Steps over time: A longitudinal usability test of an automated interactive text messaging intervention to support self-management of depression and anxiety symptoms

Platform-based Adaptive Experimental Research in Education: Lessons Learned from Digital Learning Challenge

Integrating individual and social contexts into self-reflection technologies

Joseph Jay Williams Information

University

Position

(Computer Science)

Citations(all)

3975

Citations(since 2020)

2675

Cited By

2082

hIndex(all)

30

hIndex(since 2020)

27

i10Index(all)

73

i10Index(since 2020)

52

Email

University Profile Page

Google Scholar

Joseph Jay Williams Skills & Research Interests

Human Computer Interaction

Education & Mental Health

Adaptive A/B Experimentation

Applied ML/AI & Statistics

Psychology

Top articles of Joseph Jay Williams

" Actually I Can Count My Blessings": User-Centered Design of an Application to Promote Gratitude Among Young Adults

arXiv preprint arXiv:2404.17698

2024/4/26

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Student Interaction with Instructor Emails in Introductory and Upper-Year Computing Courses

2024/3/7

Examining Intention to Major in Computer Science: Perceived Potential and Challenges

2024/3/7

Exploring User Perspectives on Brief Reflective Questioning Activities for Stress Management: Mixed Methods Study

JMIR Formative Research

2024/2/8

Small Steps over time: A longitudinal usability test of an automated interactive text messaging intervention to support self-management of depression and anxiety symptoms

Journal of Affective Disorders

2024/1/15

Platform-based Adaptive Experimental Research in Education: Lessons Learned from Digital Learning Challenge

2024

Ratings and experiences in using a mobile application to increase physical activity among university students: implications for future design

Universal Access in the Information Society

2023/1/5

QuickTA: Exploring the Design Space of Using Large Language Models to Provide Support to Students

2023

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

arXiv preprint arXiv:2312.13581

2023/12/21

A text messaging intervention to support the mental health of young adults: User engagement and feedback from a field trial of an intervention prototype

Internet Interventions

2023/12/1

Influence of an Intruder Particle on Wave-like Behavior in Vertically Vibrated Granular Matter

Bulletin of the American Physical Society

2023/11/20

Do Students Read Instructor Emails? A Case Study of Intervention Email Open Rates

2023/11/13

Informing Users about Data Imputation: Exploring the Design Space for Dealing with Non-Responses

Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

2023/11/3

Opportunities for Adaptive Experiments to Enable Continuous Improvement that Trades-off Instructor and Researcher Incentives

arXiv preprint arXiv:2310.12324

2023/10/18

Impact of guidance and interaction strategies for LLM use on Learner Performance and perception

arXiv preprint arXiv:2310.13712

2023/10/13

Deep learning based object tracking in walking droplet and granular intruder experiments

Journal of Real-Time Image Processing

2023/10

ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models

arXiv preprint arXiv:2310.00117

2023/9/29

Getting too personal (ized): The importance of feature choice in online adaptive algorithms

arXiv preprint arXiv:2309.02856

2023/9/6

Joseph Jay Williams
Joseph Jay Williams

H-Index: 20

See List of Professors in Joseph Jay Williams University(University of Toronto)

Co-Authors

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