Hauke G.W. Sandhaus
Ph.D. candidate in Information Science at Cornell Tech University
Cornell Tech
2w Loop Rd
New York, NY 10044
Advised by Helen Nissenbaum (Chair), the legendary Wendy Ju (Co-Chair), and the ascending Qian Yang (Committee Member). Background in Human Computer Interaction (M.Sc.) & Creative Technology (B.Sc.). Worked as a UX technologist in the VW Group Future Center to improve mobility for all.
Research Statement: How do interaction design methodologies need to evolve to meet the ethical challenges of data-intensive systems? Through two complementary threads, I investigate: (1) ethical data-driven interaction design, where I develop frameworks to evaluate user experiences and study how designers can responsibly leverage AI in their process; and (2) ethical data-sharing, where I create policies and tools that balance innovation needs with data protection across domains from autonomous vehicles, urban street imagery to healthcare.
Pre Ph.D. work can be seen at my portfolio website.
news
| May 21, 2026 | This summer I am teaching Ethical Vibe Coding (TECHIE 1121) to high school students as part of Cornell Tech’s Summer Innovation Intensives. Students learn to build real apps with AI tools while centering human values, probing bias, and reasoning about what “AI for good” really means. |
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| May 19, 2026 | Co-teaching the Conscientious Tech Design Workshop again this summer for Siegel PiTech PhD Impact Fellows, supervised by Prof. Helen Nissenbaum, helping fellows explore the ethical dimensions of public interest technology in their own projects. |
| Apr 20, 2026 | Co-organizing three workshops in 2026: Bridge Over Troubled Water on combating deceptive patterns (CHI 2026), Interrogating GenAI Augmentation for CHIworkers on professional autonomy and accountability (CHIWORK 2026), and “Nobody Did This” on accountability in agent-mediated collaboration (CSCW 2026). |
| Oct 02, 2024 | Passed Qualification Exam: Empowering Ethical Technology Design Presented research on how designers face pressures from competitive market demands, regulatory constraints, rigid design norms, and technical architecture, leading to unethical products. Two presented projects address these pressures through developing ethical UX metrics and setting norms for transparent data-sharing policies. View slides here. |
| Mar 21, 2024 | As an awarded Digital Life Fellow, I presented my work on Bright Patterns at the Digital Life Initiative’s Seminar. |
research
Ethical Interaction Design
Surfacing and resisting manipulative interfaces—and pinning down what “ethical” UX actually measures—so design protects user autonomy.
- ZfP
Deception Is Ugly: Linking Aesthetic Judgment to Perceived Manipulation in Dark PatternsZeitschrift für Psychologie, 2026Accepted, forthcomingTLDR: Across 126 social media users, perceived deception co-occurs strongly with negative aesthetic judgments of dark patterns (r = 0.93), pointing toward ethics-focused UX measurement scales. - CHIWORK LBW
Making Indecent Persuasion Visible: How Evaluation Metrics Shape UX Designers’ Ethical ReasoningIn CHIWORK ’26: Proceedings of the 5th Annual Symposium on Human-Computer Interaction for Work (Late-Breaking Work), Linz, Austria, Jun 2026Accepted, forthcomingTLDR: In a study of 141 UX professionals, persuasion-focused evaluation metrics nearly doubled rejection of manipulative interfaces, surfacing "indecent persuasion" as a dimension standard UX instruments fail to capture. - CHI Workshop
Promoting Bright PatternsCHI ’23 Workshop: Designing Technology and Policy Simultaneously, Hamburg, Germany, Apr 2023This paper started the brightpatterns.org websiteTLDR: The first definition of "bright patterns" is accompanied by examples that illustrate corporate use of persuasive design in support of user goals over their desires and business objectives.
Human–AI Interaction & Work
Preserving professional autonomy, accountability, and deep work as generative AI enters research, design, and creative practice.
- CHIWORK
Interrogating GenAI Augmentation for CHIworkers: Strategies for Professional Autonomy and AccountabilityIn CHIWORK ’26: Proceedings of the 5th Annual Symposium on Human-Computer Interaction for Work (Workshop), Linz, Austria, Jun 2026Accepted, forthcoming (open access, ACM); workshop co-organizerTLDR: A CHIWORK 2026 workshop moving beyond AI disclosure statements to ask how HCI professionals can preserve deep work, intellectual autonomy, and accountability in GenAI-augmented workflows. - DIS
Co-Designing with Transformers: Unpacking the Complex Role of GenAI in Interactive System Design EducationIn Proceedings of the 2025 ACM Designing Interactive Systems Conference, Funchal, Portugal, Jul 2025TLDR: GenAI in Human-Computer Interaction education and design brings both benefits, such as enhanced creativity and faster iterations, and risks, including shallow learning and reflection. Students’ approach to GenAI, rather than the specific tasks performed, influences the success of GenAI co-design.
Privacy & Responsible Data
Privacy and responsible data-sharing across street imagery, vehicles, and sensing systems.
- FAccT
Privacy of Groups in Dense Street ImageryIn Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, Athens, Greece, Jun 2025* = equal contributionTLDR: Dense street imagery enables harmful group membership inference despite individual anonymity. Contextual Integrity is used to analyze group based privacy implications based on appropriate information flows. - CSCW
My Precious Crash Data: Barriers and Opportunities in Encouraging Autonomous Driving Companies to Share Safety-Critical DataProceedings of the ACM on Human-Computer Interaction, Oct 2025TLDR: This study identifies barriers to sharing safety-critical data in autonomous vehicle companies, revealing that datasets are seen as competitive knowledge due to embedded salient knowledge, making sharing politically fraught. - AutoUI WiP
Regaining Trust: Impact of Transparent User Interface Design on Acceptance of Camera-Based In-Car Health Monitoring SystemsIn Adjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Stanford, CA, USA, Oct 2024TLDR: Transparently designed privacy onboarding can enhance user trust in camera-based in-car health monitoring systems. - 🏆 CHI
The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture TechnologyProceedings of the CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA, Jan 2024Best Paper Honorable Mention at CHI ’24TLDR: Motion capture systems are built and validated on old assumptions as a literature review using social practice theory shows.
Automotive & Driving Interaction
How people negotiate interactions around automated vehicles—and how the field shares its safety data.
- ITSC
Characterizing Cultural Differences in Naturalistic Driving InteractionsIn 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), Sep 2024TLDR: This study compares driver interactions at unsigned intersections in New York City and Haifa, using MMD in Hilbert space, revealing that cultural differences significantly influence driving strategies, especially during turns. - AutoUI
Modeling Social Situation Awareness in Driving InteractionsIn Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Stanford, CA, USA, Sep 2024TLDR: Proposes a Social Situation Awareness model for better understanding driver negotiation at un-signalized intersections. - AutoUI
Changing Lanes Toward Open Science: Openness and Transparency in Automotive User ResearchIn Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Stanford, CA, USA, Sep 2024TLDR: Analyzes how openness and transparency have evolved in automotive user research and suggests steps for improving data sharing.