Haojian Jin

schoolCarnegie Mellon Universitybar_chart#881 Global Rank

Total Papers

HCI Rank

#881

Research Areas

Years Active

Recent Publications

Understanding Parents’ Desires in Moderating Children’s Interactions with GenAI Chatbots through LLM-Generated Probes

This paper studies how parents want to moderate children’s interactions with Generative AI Chatbots, with the goal of informing the design of future GenAI parental control tools. We first used an LLM to generate synthetic Child--GenAI Chatbot interaction scenarios and worked with four parents to validate their realism…

CHI '26CorrespondingBest PaperHuman-LLM Collaboration +3

CoBRA: Programming Cognitive Bias in Social Agents Using Classic Social Science Experiments

This paper introduces CoBRA, a novel toolkit for systematically specifying agent behavior in LLM-based social simulation. We found that conventional approaches that specify agent behavior through implicit natural-language descriptions often do not yield consistent behavior across models, and the resulting behavior doe…

CHI '26CorrespondingExplainable AI (XAI) +3

PrivacyAkinator: Articulating Key Privacy Design Decisions by Answering LLM-Generated Multiple-choice Questions

NIST's Privacy Risk Assessment Methodology (PRAM) provides a structured framework for privacy experts to assess privacy risks. However, its complexity and reliance on expert knowledge make it difficult for novice developers to use effectively. This paper explores methods to lower these barriers. We first performed an…

CSCW '24CorrespondingSession 3d: Collaborative Learning and Peer Support

TreeQuestion: Assessing Conceptual Learning Outcomes with LLM-Generated Multiple-Choice Questions

The advances of generative AI have posed a challenge for using open-ended questions to assess conceptual learning outcomes, as it is increasingly common for students to use tools like ChatGPT to generate long textual answers. Teachers have to spend substantial time reading the answers and inferring students' learning…

CHI '24CorrespondingPrivacy by Design & User Control +1

Redesigning Privacy with User Feedback: The Case of Zoom Attendee Attention Tracking

Software engineers' unawareness of user feedback in earlier stages of design contributes to privacy issues in many products. Although extensive research exists on gathering and analyzing user feedback, there is limited understanding about how developers can integrate user feedback to improve product designs to better…

CHI '24CorrespondingPrivacy by Design & User Control +1

On the Feasibility of Predicting Users' Privacy Concerns using Contextual Labels and Personal Preferences

Predicting users’ privacy concerns is challenging due to privacy’s subjective and complex nature. Previous research demonstrated that generic attitudes, such as those captured by Westin’s Privacy Segmentation Index, are inadequate predictors of context-specific attitudes. We introduce ContextLabel, a method enabling p…

CHI '221st AuthorAlgorithmic Transparency & Auditability +2

Exploring the Needs of Users for Supporting Privacy-protective Behavior in Smart Homes

In this paper, we studied people’s smart home privacy-protective behaviors (SH-PPBs), to gain a better understanding of their privacy management do’s and don’ts in this context. We first surveyed 159 participants and elicited 33 unique SH-PPB practices, revealing that users heavily rely on ad hoc approaches at the phy…

CSCW '202nd AuthorInterpreting and Explaining AI

Designing Alternative Representations of Confusion Matrices to Support Non-Expert Public Understanding of Algorithm Performance

Ensuring effective public understanding of algorithmic decisions that are powered by machine learning techniques has become an urgent task with the increasing deployment of AI systems into our society. In this work, we present a concrete step toward this goal by redesigning confusion matrices for binary classification…

CSCW '203rd AuthorSocial Support, Donation, and Money

`I Can't Even Buy Apples If I Don't Use Mobile Pay?': When Mobile Payments Become Infrastructural in China

Despite slow adoption in the West, mobile payments are the de facto solution for hundreds of millions of users in China for everything from paying bills to riding buses, from sending virtual ``Red Packets'' to buying money market funds. In this paper, we use the theoretical lens of infrastructure to study users' inter…

UIST '193rd AuthorContext-Aware Computing +1

Sozu: Self-Powered Radio Tags for Building-Scale Activity Sensing

Robust, wide-area sensing of human environments has been a long-standing research goal. We present Sozu, a new low-cost sensing system that can detect a wide range of events wirelessly, through walls and without line of sight, at whole-building scale. To achieve this in a battery-free manner, Sozu tags convert energy…

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