Demo Data from VLDB 2026 / reviewers in the wild / expert
Peize Song
dblp:372/3979
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0003-4544-9135ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 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.
| Human-computer interaction and pervasive computing
1 paper |
Accessibility and assistive technology · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Accessibility and assistive technology › software accessibility
game accessibility |
0.8 | 1 | 2024 | Surveyor: Facilitating Discovery Within Video Games for Blind and Low Vision Players · CHI 2024 |
Accessibility and assistive technology
assistive navigation |
0.2 | 1 | 2024 | Surveyor: Facilitating Discovery Within Video Games for Blind and Low Vision Players · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
formative study · 0.8comparative evaluation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Coupler yaw angle identification of heavy-haul locomotives: A multi-scale feature fusion-based method
Ruihan Xie, Shiqian Chen, Peize Song, Kaiyun Wang, Wanming Zhai |
Eng. Appl. Artif. Intell. | 3 |
| 2024 | Surveyor: Facilitating Discovery Within Video Games for Blind and Low Vision PlayersabstractVideo games are increasingly accessible to blind and low vision (BLV) players, yet many aspects remain inaccessible. One aspect is the joy players feel when they explore environments and make new discoveries, which is integral to many games. Sighted players experience discovery by surveying environments and identifying unexplored areas. Current accessibility tools, however, guide BLV players directly to items and places, robbing them of that experience. Thus, a crucial challenge is to develop navigation assistance tools that also foster exploration and discovery. To address this challenge, we propose the concept of exploration assistance in games and design Surveyor, an in-game exploration assistance tool that enhances discovery by tracking where BLV players look and highlighting unexplored areas. We designed Surveyor using insights from a formative study and compared Surveyor’s effectiveness to approaches found in existing accessible games. Our findings reveal implications for facilitating richer play experiences for BLV users within games. Vishnu Nair, Hanxiu 'Hazel' Zhu, Peize Song, Jizhong Wang, Brian A. Smith 0001 |
CHI | 3 |