Demo Data from EDBT 2026 / reviewers in the wild / expert
Victoria Chang
dblp:183/8175
· DBLP profile ↗
3ranked-venue papers
2as first author
1since 2021 · last 2025
0009-0007-5128-4313ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 3 · 2 first-author · 1 since 2021Security and privacy · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Ubiquitous computing and smart environments · 100% | |
| Network and information security
1 paper |
Privacy and data protection · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Ubiquitous computing and smart environments › privacy
privacy perception |
0.3 | 1 | 2017 | Spiders in the Sky: User Perceptions of Drones, Privacy, and Security · CHI 2017 |
Privacy and data protection › privacy in public spaces
drone privacy |
0.3 | 1 | 2017 | Spiders in the Sky: User Perceptions of Drones, Privacy, and Security · CHI 2017 |
Methods — techniques the papers use, named apart from their topics
laboratory study · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Verisimilitude as Boon and Bane: How People Initiate Opportunistic Interactions at Professional Events in Social VRabstractOpportunistic interactions-the unstructured exchanges that emerge as individuals become aware of each other's presence-are essential for relationship building and information sharing in everyday life. Yet, fostering effective opportunistic interactions has proven challenging, especially at professional events that have increasingly transitioned from in person to online formats. In the current paper, we offer an in-depth qualitative account of how people initiate opportunistic interactions in social VR. Our participants consisted of 16 individuals with ongoing experience attending VR-mediated events in their professional communities. We conducted extensive observations with each participant during one or more events they attended. We also interviewed them after every observed event, obtaining self-reflections on their attempts to navigate opportunistic interactions with others. Our analysis revealed that participants sought to understand the extent to which social VR preserved the real-world meanings of various nonverbal cues, which we refer to as verisimilitude. We detailed the unique connections between a person's perceived verisimilitude and their social behaviors at each of the three steps toward initiating opportunistic interactions: availability recognition, attention capture, and ice-breaking. Across these steps, the VR platform typically replaces complex social mechanisms with feasible technical ones in order to function, thereby altering the preconditions necessary for a nonverbal cue's social meanings to remain intact. We identified a rich set of strategies that participants developed to assess verisimilitude and act upon it, while also confirming a lack of systematic knowledge guiding their practices. Based on these findings, we provide actionable insights for social VR platform design that can best support the initiation of opportunistic interactions for professional purposes. Victoria Chang, Caro Williams-Pierce, Huaishu Peng, Ge Gao 0001 |
Proc. ACM Hum. Comput. Interact. | 1 |
| 2017 | Spiders in the Sky: User Perceptions of Drones, Privacy, and SecurityabstractDrones are increasingly being used for various purposes from recording footage in inaccessible areas to delivering packages. A rise in drone usage introduces privacy and security concerns about flying boundaries, what data drones collect in public and private spaces, and how that data is stored and disseminated. However, commercial and personal drone regulations focusing on privacy and security have been fairly minimal in the USA. To inform privacy and security guidelines for drone design and regulation, we need to understand users' perceptions about drones, privacy and security. In this paper, we describe a laboratory study with 20 participants who interacted with a real or model drone to elicit user perceptions of privacy and security issues around drones. We present our results, discuss the implications of our work and make recommendations to improve drone design and regulations that enhance individual privacy and security. Victoria Chang, Pramod Chundury, Marshini Chetty |
CHI | 1 |
| 2016 | "They Keep Coming Back Like Zombies": Improving Software Updating Interfaces
Arunesh Mathur, Josefine Engel, Sonam Sobti, Victoria Chang, Marshini Chetty |
SOUPS | 4 |