Demo Data from SIGIR 2026 / reviewers in the wild / expert
Ting Shoemaker
dblp:188/1156
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 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 |
Wearable and physiological sensing · 77% Human-robot interaction · 23% | |
| Computer graphics and multimedia
1 paper |
Multimedia systems and quality of experience · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wearable and physiological sensing › multimodal sensing
eye tracking and EEG |
0.2 | 1 | 2016 | What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording · ACM Multimedia 2016 |
Multimedia systems and quality of experience
video quality assessment |
0.1 | 1 | 2016 | What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording · ACM Multimedia 2016 |
Human-robot interaction
viewer perception |
0.1 | 1 | 2016 | What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording · ACM Multimedia 2016 |
Methods — techniques the papers use, named apart from their topics
simultaneous EEG recording · 0.5feature mining · 0.5eye tracking · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker RecordingabstractWhat makes a good movie trailer? It's a big challenge to answer this question because of the complexity of multimedia in both low level sensory features and high level semantic features. However, human perception and reactivity could be straightforward evidence for evaluation. Modern Electro-encephalography (EEG) technology provides measurement of consequential brain neural activity to external stimuli. Meanwhile, visual perception and attention could be captured and interpreted by Eye Tracking technology. Intuitively, simultaneous EEG and Eye Tracker recording of human audience with multimedia stimuli could bridge the gap between human comprehension and multimedia analysis, and provide a new way for movie trailer evaluation. In this paper, we propose a novel platform to simultaneously record EEG and eye movement for participants with video stimuli by integrating 256-channel EEG, Eye Tracker and video display device as a system. Based on the proposed system a novel experiment has been designed, in which independent and joint features of EEG and Eye tracking data were mined to evaluate the movie trailer. Our analysis has shown interesting features that are corresponding with trailer quality and video shoot changes. Sidi Liu, Jinglei Lv, Ting Shoemaker, Qinglin Dong, Kaiming Li, Tianming Liu 0001 |
ACM Multimedia | 4 |