VLDB 2026 Research / reviewers in the wild / expert
Sunniva Liu
dblp:322/6494
· DBLP profile ↗
4ranked-venue papers
1as first author
4since 2021 · last 2024
0000-0001-5800-191XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 4 · 1 first-author · 4 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Morphing Matter for Teens: Research Processes as a Template for Cross-Disciplinary ActivitiesabstractWe distilled a set of core practices within “morphing matter” research, derived a set of underlying skills and values, and developed these into a weekend workshop for high-school students. Participants in our workshop sampled a variety of research processes, including materials science and contextual design, incorporating curriculum-appropriate learning goals, toward an integrated pneumatic fashion project. We describe our approach, activity plan, and assessment as well as opportunities for research as an educational template to push beyond current “STEAM”-based educational practices for cross-disciplinary engagement. Lea Albaugh, Melinda Chen, Sunniva Liu, Harshika Jain, Alisha Collins, Lining Yao |
CHI | 3 |
| 2024 | "If This Person is Suicidal, What Do I Do?": Designing Computational Approaches to Help Online Volunteers Respond to SuicidalityabstractOnline platforms provide support for many kinds of distress, including suicidal thoughts and behaviors. However, because many platforms restrict suicidal talk, volunteers on these platforms struggle with how to help suicidal people who come for support. We interviewed 11 volunteer counselors in a large online support platform, including after they role-played conversations with varying severities of suicidality, to explore practices and challenges when identifying and responding to suicidality. We then presented Speed Dating design concepts around emotional preparation and support, real-time guidance, training, and suicide detection. Participants wanted more support and preparation for conversations with suicidal people, but were conflicted about AI-based technologies, including trade-offs between potential benefits of conversational agents for training and limitations of prediction or real-time response suggestions, due to the sensitive, context-dependent decisions that volunteers must make. Our work has important implications for nuanced considerations and design choices around developing digital mental health technologies. Logan Stapleton, Sunniva Liu, Cindy Liu, Irene Hong, Stevie Chancellor, Robert E. Kraut, Haiyi Zhu |
CHI | 2 |
| 2024 | breatHaptics: Enabling Granular Rendering of Breath Signals via Haptics using Shape-Changing Soft InterfacesabstractFeeling breath signals from the digital world has many values in remote settings. These signals have been visually or audibly represented in previous research, but recent advances in wearable technology now enable us to simulate breath signals via haptics, as an intimate and intuitive form of non-verbal interaction. Prior works relied on low-resolution methods of breath signal rendering and thus a limited understanding of associated haptic perceptions. Addressing this gap, our research introduces breatHaptics, a wearable that offers a high-resolution, haptic representation of breath signals. By utilizing extracted breath data, a mapping algorithm model and finely-tuned soft actuated materials, we deliver a granular simulation of human breath. Through a perception study involving force discrimination testing and haptic experience evaluation, we demonstrate breatHaptics’ ability to create a rich, nuanced tactile sensation of feeling breath haptically. Our work illustrates the promising role of breatHaptics as part of wearable technologies in offering well-being support. Sunniva Liu, Jianzhe Gu, Dinesh K. Patel, Lining Yao |
TEI | 1 |
| 2022 | Demonstrating DIY Methods for Actuating Morphing Matter: Hands-on methods with off-the-shelf materials to actuate flexible substratesabstractThe field of Morphing Matter (MM) is often associated with high-tech equipment or inaccessible lab environments. In this work, we explore morphing matter applications within the context of DIY craft, showcasing different actuation methods for morphing artifacts created using compact, inexpensive, and easily replicable toolkits. This demo presents three morphing matter toolsets that enable novice learners to design shape-changing food, artistic figurines that transform underwater and inflatable wearables. We aim to thoroughly demonstrate each step in the design process for morphing arts and crafts projects triggered by various stimuli such as heat, moisture, and air pressure. Through open-source simulation tools, readily available materials, and easy-to-follow tutorials, morphing matter toolkits can empower users to express their creativity in new ways while learning science and engineering concepts, skills, and techniques. Harshika Jain, Melinda Chen, Alisha Collins, Lining Yao, Sunniva Liu, Riya Bobde, Cindy Liu |
Creativity & Cognition | 5 |