Tianshi Li

schoolNortheastern Universitybar_chart#860 Global Rank

Total Papers

HCI Rank

#860

Research Areas

Years Active

Recent Publications

Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight

The dark patterns, deceptive interface designs manipulating user behaviors, have been extensively studied for their effects on human decision-making and autonomy. Yet, with the rising prominence of LLM-powered GUI agents that automate tasks from high-level intents, understanding how dark patterns affect agents is incr…

CHI '265th+ AuthorTelemedicine & Remote Patient Monitoring +1

Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care

Post-surgery care involves ongoing collaboration between provider teams and patients, which starts from post-surgery hospitalization through home recovery after discharge. While prior HCI research has primarily examined patients’ challenges at home, less is known about how provider teams coordinate discharge preparati…

CHI '26CorrespondingPrivacy by Design & User Control +3

From Fragmentation to Integration: Exploring the Design Space of AI Agents for Human-as-the-Unit Privacy Management

Managing one’s digital footprint is overwhelming, as it spans multiple platforms and involves countless context-dependent decisions. Recent advances in agentic AI offer ways forward by enabling holistic, contextual privacy-enhancing solutions. Building on this potential, we adopted a “human-as-the-unit” perspective an…

CSCW '25CorrespondingToward More Ethical and Transparent Systems and Environments

Secret Use of Large Language Model (LLM)

The advancements of Large Language Models (LLMs) have decentralized the responsibility for the transparency of AI usage. Specifically, LLM users are now encouraged or required to disclose the use of LLM-generated content for varied types of real-world tasks. However, an emerging phenomenon, users' secret use of LLM, r…

CSCW '254th AuthorResponsible and Ethical AI

"I'm categorizing LLM as a productivity tool": Examining ethics of LLM use in HCI research practices

Large language models are increasingly applied in real-world scenarios, including research and education. These models, however, come with well-known ethical issues, which may manifest in unexpected ways in human-computer interaction research due to the extensive engagement with human subjects. This paper reports on r…

UIST '255th+ AuthorExplainable AI (XAI) +2

Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations

Personalized recommendation systems tailor content based on user attributes, which are either provided or inferred from private data. Research suggests that users often hypothesize about reasons behind contents they encounter (e.g., ``I see this jewelry ad because I am a woman''), but they lack the means to confirm th…

CHI '25CorrespondingExplainable AI (XAI) +2

Rescriber: Smaller-LLM-Powered User-Led Data Minimization for LLM-Based Chatbots

The proliferation of LLM-based conversational agents has resulted in excessive disclosure of identifiable or sensitive information. However, existing technologies fail to offer perceptible control or account for users’ personal preferences about privacy-utility tradeoffs due to the lack of user involvement. To bridge…

CHI '255th+ AuthorFull-Body Interaction & Embodied Input +2

GenieWizard: Multimodal App Feature Discovery with Large Language Models

Multimodal interactions are more flexible, efficient, and adaptable than graphical interactions, allowing users to execute commands beyond simply tapping GUI buttons. However, the flexibility of multimodal commands makes it hard for designers to prototype and provide design specifications for developers. It is also ha…

CHI '24CorrespondingAgent Personality & Anthropomorphism +4

"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents

The widespread use of Large Language Model (LLM)-based conversational agents (CAs), especially in high-stakes domains, raises many privacy concerns. Building ethical LLM-based CAs that respect user privacy requires an in-depth understanding of the privacy risks that concern users the most. However, existing research,…

CHI '245th+ AuthorVoice User Interface (VUI) Design +2

ReactGenie: A Development Framework for Complex Multimodal Interactions Using Large Language Models

By combining voice and touch interactions, multimodal interfaces can surpass the efficiency of either modality alone. Traditional multimodal frameworks require laborious developer work to support rich multimodal commands where the user’s multimodal command involves possibly exponential combinations of actions/function…

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