Demo Data from SIGIR 2026 / reviewers in the wild / expert
Mengdie Lin
dblp:217/9707
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 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 |
Interaction techniques and input · 44% Collaborative and social computing · 44% Immersive interaction · 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
audience experience |
0.3 | 1 | 2018 | Designing the Audience Journey through Repeated Experiences · CHI 2018 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Designing the Audience Journey through Repeated ExperiencesabstractWe report on the design, premiere and public evaluation of a multifaceted audience interface for a complex non-linear musical performance called Climb! which is particularly suited to being experienced more than once. This interface is designed to enable audiences to understand and appreciate the work, and integrates a physical instrument and staging, projected visuals, personal devices and an online archive. A public premiere concert comprising two performances of Climb! revealed how the audience reoriented to the second performance through growing understanding and comparison to the first. Using trajectories as an analytical framework for the audience 'journey' made apparent: how the trajectories of a single performance are embedded within the larger trajectories of a concert and the creative work as a whole; the distinctive demands of understanding and interpretation; and the potential of the archive in enabling appreciation across repeated performances. Steve Benford, Christopher Greenhalgh, Adrian Hazzard, Alan Chamberlain, Maria Kallionpää, David M. Weigl, Kevin R. Page, Mengdie Lin |
CHI | 8 |