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ORCIDHao-Ping Lee
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- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
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2020 – today
- 2026
[c22]Hao-Ping (Hank) Lee
, Yu-Ju Yang, Matthew Bilik, Isadora Krsek, Thomas Serban Von Davier, Kyzyl Monteiro, Jason Lin, Shivani Agarwal, Jodi Forlizzi, Sauvik Das:
Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Concepts. CHI 2026: 1435:1-1435:30- [i8]Yuxuan Li, Leyang Li, Hao-Ping Lee, Sauvik Das:
How Well Can LLM Agents Simulate End-User Security and Privacy Attitudes and Behaviors? CoRR abs/2602.18464 (2026) - [i7]Thomas Serban Von Davier, Hao-Ping Lee, Jodi Forlizzi, Sauvik Das:
Promoting Critical Thinking With Domain-Specific Generative AI Provocations. CoRR abs/2603.19975 (2026) - [i6]Kyzyl Monteiro, Minjung Park, Alexander Ioffrida, Angelina Sanna, Hao-Ping Lee, Niloofar Mireshghallah, Yang Wang, Sauvik Das:
When Are LLM Inferences Acceptable? User Reactions and Control Preferences for Inferred Personal Information. CoRR abs/2605.10013 (2026) - [i5]Hao-Ping Lee, Jessica He, David Piorkowski, Thomas Serban Von Davier, Jodi Forlizzi, Sauvik Das:
The Perils of Agency: How Developers Perceive, Prioritize, and Address Risks in Agentic AI Products. CoRR abs/2606.15485 (2026) - 2025
- [j3]Hao-Ping (Hank) Lee, Yi-Shyuan Chiang, Lan Gao, Stephanie S. Yang, Philipp Winter, Sauvik Das:
Purpose Mode: Reducing Distraction through Toggling Attention Capture Damaging Patterns on Social Media Web Sites. ACM Trans. Comput. Hum. Interact. 32(1): 10:1-10:41 (2025) - [c21]Hao-Ping (Hank) Lee, Advait Sarkar, Lev Tankelevitch, Ian Drosos, Sean Rintel, Richard Banks, Nicholas Wilson:
The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers. CHI 2025: 1121:1-1121:22 - [i4]Hao-Ping Lee, Yu-Ju Yang, Matthew Bilik, Isadora Krsek, Thomas Serban Von Davier, Kyzyl Monteiro, Jason Lin, Shivani Agarwal, Jodi Forlizzi, Sauvik Das:
Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Concepts. CoRR abs/2509.23525 (2025) - 2024
- [c20]Zhiping Zhang, Michelle Jia, Hao-Ping (Hank) Lee, Bingsheng Yao, Sauvik Das, Ada Lerner, Dakuo Wang, Tianshi Li:
"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents. CHI 2024: 156:1-156:26 - [c19]Tianshi Li, Sauvik Das, Hao-Ping (Hank) Lee, Dakuo Wang, Bingsheng Yao, Zhiping Zhang:
Human-Centered Privacy Research in the Age of Large Language Models. CHI Extended Abstracts 2024: 581:1-581:4 - [c18]Hao-Ping (Hank) Lee, Yu-Ju Yang, Thomas Serban Von Davier, Jodi Forlizzi, Sauvik Das:
Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks. CHI 2024: 775:1-775:19 - [c17]Hao-Ping (Hank) Lee, Qiushi Zhou, Vassilis Kostakos, Benjamin Tag, Tilman Dingler:
Exploring Design Parameters for RSVP Reading of Mobile Notifications. OZCHI 2024: 337-350 - [c16]Hao-Ping (Hank) Lee, Lan Gao, Stephanie S. Yang, Jodi Forlizzi, Sauvik Das:
"I Don't Know If We're Doing Good. I Don't Know If We're Doing Bad": Investigating How Practitioners Scope, Motivate, and Conduct Privacy Work When Developing AI Products. USENIX Security Symposium 2024 - [i3]Tianshi Li, Sauvik Das, Hao-Ping Lee, Dakuo Wang, Bingsheng Yao, Zhiping Zhang:
Human-Centered Privacy Research in the Age of Large Language Models. CoRR abs/2402.01994 (2024) - 2023
- [j2]Sauvik Das, Hao-Ping (Hank) Lee, Jodi Forlizzi:
Privacy in the Age of AI. Commun. ACM 66(11): 29-31 (2023) - [j1]Hao-Ping (Hank) Lee, Yi-Shyuan Chiang, Yu-Ling Chou, Kung-Pai Lin, Yung-Ju Chang:
What makes IM users (un)responsive: An empirical investigation for understanding IM responsiveness. Int. J. Hum. Comput. Stud. 172: 102983 (2023) - [c15]Hao-Ping (Hank) Lee, Jacob Logas, Stephanie S. Yang, Zhouyu Li, Natã M. Barbosa, Yang Wang, Sauvik Das:
When and Why Do People Want Ad Targeting Explanations? Evidence from a Four-Week, Mixed-Methods Field Study. SP 2023: 2903-2920 - [i2]Zhiping Zhang, Michelle Jia, Hao-Ping (Hank) Lee, Bingsheng Yao, Sauvik Das, Ada Lerner, Dakuo Wang, Tianshi Li:
"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents. CoRR abs/2309.11653 (2023) - [i1]Hao-Ping Lee, Yu-Ju Yang, Thomas Serban Von Davier, Jodi Forlizzi, Sauvik Das:
Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks. CoRR abs/2310.07879 (2023) - 2021
- [c14]Tzu-Chieh Lin, Yu-Shao Su, Emily Helen Yang, Yun Han Chen, Hao-Ping Lee, Yung-Ju Chang:
"Put it on the Top, I'll Read it Later": Investigating Users' Desired Display Order for Smartphone Notifications. CHI 2021: 520:1-520:13 - [c13]Ting-Wei Wu, Yu-Ling Chien, Hao-Ping Lee, Yung-Ju Chang:
IM Receptivity and Presentation-type Preferences among Users of a Mobile App with Automated Receptivity-status Adjustment. CHI 2021: 640:1-640:14 - [c12]Chia-En Chiang, Yu-Chun Chen, Fang-Yu Lin, Felicia Feng, Hao-An Wu, Hao-Ping Lee, Chang-Hsuan Yang, Yung-Ju Chang:
"I Got Some Free Time": Investigating Task-execution and Task-effort Metrics in Mobile Crowdsourcing Tasks. CHI 2021: 648:1-648:14 - [c11]Kung-Pai Lin, Hao-Ping (Hank) Lee, Yu-Ling Chou, Faye Shih, Yung-Ju Chang:
Distinguishing IM Communication Patterns with Relationship and Conversation Topics. CSCW Companion 2021: 121-125 - [c10]Yu-Lin Chang, Hao-Ping (Hank) Lee, Yung-Ju Chang, Chih-Ya Shen:
Inviting Participants' Peers in a Mobile Assessment Study: An Empirical Investigation. MobileHCI 2021: 46:1-46:13 - 2020
- [c9]Yi-Shyuan Chiang, Ruei-Che Chang, Yi-Lin Chuang, Shih-Ya Chou, Hao-Ping Lee, I-Ju Lin, Jian-Hua Jiang Chen, Yung-Ju Chang:
Exploring the Design Space of User-System Communication for Smart-home Routine Assistants. CHI 2020: 1-14 - [c8]Tang-Jie Chang, Jian-Hua Jiang Chen, Hao-Ping Lee, Yung-Ju Chang:
A preliminary attempt of an intelligent system predicting users' correctness of notifications' sender speculation. UbiComp/ISWC Adjunct 2020: 13-16 - [c7]Tzu-Chieh Lin, Yu-Shao Su, Emily Helen Yang, Yun Han Chen, Hao-Ping Lee, Yung-Ju Chang:
A preliminary investigation of the mismatch between attendance order and desired display order of smartphone notifications. UbiComp/ISWC Adjunct 2020: 71-74 - [c6]Yi-Hao Shih, Tang-Jie Chang, Jian-Hua Jiang Chen, Hao-Ping Lee, Yung-Ju Chang:
A preliminary study of an intelligent system facilitating selective notification attendance on smartphones via alert assistance. UbiComp/ISWC Adjunct 2020: 468-473
2010 – 2019
- 2019
- [c5]Hao-Ping Lee, Kuan-yin Chen, Chih-Heng Lin, Chia-Yu Chen, Yu-Lin Chung, Yung-Ju Chang, Chien-Ru Sun:
Does Who Matter?: Studying the Impact of Relationship Characteristics on Receptivity to Mobile IM Messages. CHI 2019: 526 - [c4]Qiushi Zhou, Joshua Newn, Benjamin Tag, Hao-Ping Lee, Chaofan Wang, Eduardo Velloso:
Ubiquitous smart eyewear interactions using implicit sensing and unobtrusive information output. UbiComp/ISWC Adjunct 2019: 661-666 - [c3]Hao-Ping Lee, Kuan-yin Chen, Chih-Heng Lin, Yung-Ju Chang:
Connecting IM pattern and selective perceived responsiveness to relationship: a cluster-based approach. UbiComp/ISWC Adjunct 2019: 1070-1074 - [c2]Hao-Ping Lee, Tilman Dingler, Chih-Heng Lin, Kuan-yin Chen, Yu-Lin Chung, Chia-Yu Chen, Yung-Ju Chang:
Predicting Smartphone Users' General Responsiveness to IM Contacts Based on IM Behavior. MobileHCI 2019: 40:1-40:6 - 2017
- [c1]Kuan-yin Chen, Hao-Ping Lee, Chih-Heng Lin, Yung-Ju Chang:
Who matters: a closer look at interpersonal relationship in mobile interruptibility. UbiComp/ISWC Adjunct 2017: 910-915
Coauthor Index
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