EDBT 2026 Demo / reviewers in the wild / expert
Yanzhen Yue
dblp:68/10879
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 first-author
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
2 papers |
Collaborative and social computing · 87% User interface design and tools · 13% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › groupware
shared views |
0.1 | 1 | 2014 | Share your view: impact of co-navigation support and status composition in collaborative online shopping · CHI 2014 |
Methods — techniques the papers use, named apart from their topics
eye tracking · 0.4web log analysis · 0.2video analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Influence of Content Layout and Motivation on Users' Herd Behavior in Social DiscoveryabstractSocial product discovery is an emerging paradigm that enables users to seek information and inspiration from peer-contributed contents. Researchers have observed herd behaviors in social discovery, i.e., basing beliefs and decisions on what similarly situated others have done. In this paper, we explore the effects of content layout and motivation on users' herd behaviors in social discovery. We conduct an eye-tracking study with 120 participants to compare goal- and action-oriented users' behaviors on a grid versus waterfall style social discovery site. The results show that users have a higher tendency to herd on a grid-style website, more so for goal-oriented users. Yanzhen Yue, Xiaojuan Ma, Zhenhui Jiang |
CHI | 1 |
| 2014 | Share your view: impact of co-navigation support and status composition in collaborative online shoppingabstractCollaborative online shopping, an emerging paradigm in e-commerce, allows remote shoppers to extend purchase-oriented social interactions into the digital environment. Online vendors have been experimenting ways to facilitate this activity. However, more research needs to be done on identifying what feature can create a pleasing shopping experience and ultimately encourage spending. In this paper, we present an exploration of the impact of co-navigation supports, including location cue, split screen, and shared view, on the experiences and performance of 60 co-shopper dyads. We also studied if status composition of shopping companions played a role in this process. By analyzing about 1800 minutes of eye-tracking data, video footages, and web logs, we found that split screen encouraged more diverse product search, shared view enabled better coordination, and location cue was the least distracting. Co-buyers achieved better factual and inference understanding, though buyer-advisor dyads were more likely to stay together. Yanzhen Yue, Xiaojuan Ma, Zhenhui Jiang |
CHI | 1 |