Jason Hong

Jason Hong

Carnegie Mellon University

H-index: 83

North America-United States

About Jason Hong

Jason Hong, With an exceptional h-index of 83 and a recent h-index of 52 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Human-Computer Interaction, HCI, Usable Privacy and Security, Mobile computing, Social Computing.

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

Matcha: An IDE Plugin for Creating Accurate Privacy Nutrition Labels

A Framework for Reasoning about Social Influences on Security and Privacy Adoption

Discovering neighborhood clusters and uses therefor

Improving human-AI collaboration with descriptions of AI behavior

Teaching the FATE Community about Privacy

Alert now or never: Understanding and predicting notification preferences of smartphone users

Longitudinal associations of social support, everyday social interactions, and mental health during the COVID-19 pandemic

Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work together to Surface Algorithmic Harms?

Jason Hong Information

University

Carnegie Mellon University

Position

___

Citations(all)

32604

Citations(since 2020)

10507

Cited By

26074

hIndex(all)

83

hIndex(since 2020)

52

i10Index(all)

191

i10Index(since 2020)

133

Email

University Profile Page

Carnegie Mellon University

Jason Hong Skills & Research Interests

Human-Computer Interaction

HCI

Usable Privacy and Security

Mobile computing

Social Computing

Top articles of Jason Hong

Title

Journal

Author(s)

Publication Date

Matcha: An IDE Plugin for Creating Accurate Privacy Nutrition Labels

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Tianshi Li

Lorrie Faith Cranor

Yuvraj Agarwal

Jason I Hong

2024/3/6

A Framework for Reasoning about Social Influences on Security and Privacy Adoption

Cori Faklaris

Laura Dabbish

Jason I Hong

2024

Discovering neighborhood clusters and uses therefor

2017/12/19

Improving human-AI collaboration with descriptions of AI behavior

Proceedings of the ACM on Human-Computer Interaction

Ángel Alexander Cabrera

Adam Perer

Jason I Hong

2023/4/16

Teaching the FATE Community about Privacy

Communications of the ACM

Jason I Hong

2023/7/25

Alert now or never: Understanding and predicting notification preferences of smartphone users

ACM Transactions on Computer-Human Interaction

Tianshi Li

Julia Katherine Haines

Miguel Flores Ruiz De Eguino

Jason I Hong

Jeffrey Nichols

2023/1/6

Longitudinal associations of social support, everyday social interactions, and mental health during the COVID-19 pandemic

Journal of Social and Personal Relationships

Brian N Chin

Thomas W Kamarck

Robert E Kraut

Siyan Zhao

Jason I Hong

...

2023/5

Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work together to Surface Algorithmic Harms?

Rena Li

Sara Kingsley

Chelsea Fan

Proteeti Sinha

Nora Wai

...

2023/4/19

System and method for tracking a body

2023/11/28

Understanding Frontline Workers’ and Unhoused Individuals’ Perspectives on AI Used in Homeless Services

Tzu-Sheng Kuo

Hong Shen

Jisoo Geum

Nev Jones

Jason I Hong

...

2023/4/19

System and method for tracking a shape

2023/10/24

Zeno: An interactive framework for behavioral evaluation of machine learning

Ángel Alexander Cabrera

Erica Fu

Donald Bertucci

Kenneth Holstein

Ameet Talwalkar

...

2023/4/19

Designing for Privacy in Mobile Sensing Systems

Mobile Sensing in Psychology: Methods and Applications

Jason I Hong

2023/10/6

The trouble with Facebook

Communications of the ACM

Jason Hong

2022/1/24

To self-persuade or be persuaded: Examining interventions for users’ privacy setting selection

Isadora Krsek

Kimi Wenzel

Sauvik Das

Jason I Hong

Laura Dabbish

2022/4/29

Peekaboo: A hub-based approach to enable transparency in data processing within smart homes

Haojian Jin

Gram Liu

David Hwang

Swarun Kumar

Yuvraj Agarwal

...

2022/5/22

Context-Aware Cybersecurity Training Systems, Apparatuses, and Methods

2018/1/16

Understanding ios privacy nutrition labels: An exploratory large-scale analysis of app store data

Yucheng Li

Deyuan Chen

Tianshi Li

Yuvraj Agarwal

Lorrie Faith Cranor

...

2022/4/27

Experimental Evidence for Using a TTM Stages of Change Model in Boosting Progress Toward 2FA Adoption

arXiv preprint arXiv:2205.06937

Cori Faklaris

Laura Dabbish

Jason I Hong

2022/5/14

Charting app developers’ journey through privacy regulation features in ad networks

Mohammad Tahaei

Kopo M Ramokapane

Tianshi Li

Jason I Hong

Awais Rashid

2022/7/11

See List of Professors in Jason Hong University(Carnegie Mellon University)

Jason Hong FAQs

What is Jason Hong's h-index at Carnegie Mellon University?

The h-index of Jason Hong has been 52 since 2020 and 83 in total.

What are Jason Hong's top articles?

The articles with the titles of

Matcha: An IDE Plugin for Creating Accurate Privacy Nutrition Labels

A Framework for Reasoning about Social Influences on Security and Privacy Adoption

Discovering neighborhood clusters and uses therefor

Improving human-AI collaboration with descriptions of AI behavior

Teaching the FATE Community about Privacy

Alert now or never: Understanding and predicting notification preferences of smartphone users

Longitudinal associations of social support, everyday social interactions, and mental health during the COVID-19 pandemic

Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work together to Surface Algorithmic Harms?

...

are the top articles of Jason Hong at Carnegie Mellon University.

What are Jason Hong's research interests?

The research interests of Jason Hong are: Human-Computer Interaction, HCI, Usable Privacy and Security, Mobile computing, Social Computing

What is Jason Hong's total number of citations?

Jason Hong has 32,604 citations in total.

What are the co-authors of Jason Hong?

The co-authors of Jason Hong are Christos Faloutsos, Lorrie Faith Cranor, James Landay, Norman Sadeh, Alessandro Acquisti, John Zimmerman.

Co-Authors

H-index: 151
Christos Faloutsos

Christos Faloutsos

Carnegie Mellon University

H-index: 111
Lorrie Faith Cranor

Lorrie Faith Cranor

Carnegie Mellon University

H-index: 86
James Landay

James Landay

Stanford University

H-index: 85
Norman Sadeh

Norman Sadeh

Carnegie Mellon University

H-index: 72
Alessandro Acquisti

Alessandro Acquisti

Carnegie Mellon University

H-index: 59
John Zimmerman

John Zimmerman

Carnegie Mellon University

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