Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Peize Song

dblp:372/3979 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology › software accessibility
game accessibility
0.812024
Surveyor: Facilitating Discovery Within Video Games for Blind and Low Vision Players · CHI 2024
Accessibility and assistive technology
assistive navigation
0.212024
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
YearPublicationVenuePosition
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 Players
abstract
Video 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
CHI3