Demo Data from VLDB 2026 / reviewers in the wild / expert
Michael Yuk-Shing Hung
dblp:319/3421
· DBLP profile ↗
3ranked-venue papers
2as first author
1since 2021 · last 2022
—ORCID · none
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 2021
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.
| Computer graphics and multimedia
1 paper |
Computer animation and physical simulation · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer animation and physical simulation › animation production
previsualization |
0.2 | 1 | 2022 | One Week in the Future: Previs Design Futuring for HCI Research · CHI 2022 |
Methods — techniques the papers use, named apart from their topics
storyboarding · 0.6design sprints · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | One Week in the Future: Previs Design Futuring for HCI ResearchabstractWe explore the use of cinematic “pre-visualization” (previs) techniques as a rapid ideation and design futuring method for human computer interaction (HCI) research. Previs approaches, which are widely used in animation and film production, use digital design tools to create medium-fidelity videos that capture richer interaction, motion, and context than sketches or static illustrations. When used as a design futuring method, previs can facilitate rapid, iterative discussions that reveal tensions, challenges, and opportunities for new research. We performed eight one-week design futuring sprints, in which individual HCI researchers collaborated with a lead designer to produce concept sketches, storyboards, and videos that examined future applications of their research. From these experiences, we identify recurring themes and challenges and present a One Week Futuring Workbook that other researchers can use to guide their own futuring sprints. We also highlight how variations of our approach could support other speculative design practices. Alexander Ivanov 0004, Tim Au Yeung, Kathryn Blair, Kurtis Thorvald Danyluk, Georgina Freeman, Marcus Friedel, Carmen Hull, Michael Yuk-Shing Hung, Sydney Pratte, Wesley Willett |
CHI | 8 |
| 2019 | WatchPen: Using Cross-Device Interaction Concepts to Augment Pen-Based InteractionabstractPen-based input is often treated as auxiliary to mobile devices. We posit that cross-device interactions can inspire and extend the design space of pen-based interactions into new, expressive directions. We realize this through WatchPen, a smartwatch mounted on a passive, capacitive stylus that: (1) senses the usage context and leverages it for expression (e.g., changing colour), (2) contains tools and parameters within the display, and (3) acts as an on-demand output. As a result, it provides users with a dynamic relationship between inputs and outputs, awareness of current tool selection and parameters, and increased expressive match (e.g., added ability to mimic physical tools, showing clipboard contents). We discuss and reflect upon a series of interaction techniques that demonstrate WatchPen within a drawing application. We highlight the expressive power of leveraging multiple sensing and output capabilities across both the watch-augmented stylus and the tablet surface. Michael Yuk-Shing Hung, David Ledo, Lora Oehlberg |
MobileHCI | 1 |
| 2019 | WatchPen: Using Cross-Device Interaction Concepts to Augment Pen-Based InteractionabstractWatchPen illustrates how cross-device interactions can inspire and extend the design space of pen-based interactions into new, expressive directions. We demonstrate WatchPen, a smartwatch mounted on a passive, capacitive stylus that: (1) senses the usage context and leverages it for expression (e.g., changing colour), (2) contains tools and parameters within the display, and (3) acts as an on-demand output. As a result, it provides users with a dynamic relationship between inputs and outputs, awareness of current tool selection and parameters, and increased expressive match (e.g., added ability to mimic physical tools, showing clipboard contents). Our demonstration includes a series of interaction techniques within a drawing application. Michael Yuk-Shing Hung, Lora Oehlberg, David Ledo |
MobileHCI | 1 |