Demo Data from SIGIR 2026 / reviewers in the wild / expert
David Allport
dblp:54/2068
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1995
—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 · 65% Ubiquitous computing and smart environments · 28% Haptics and multimodal interaction · 6% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input › gesture input
bare-hand interaction |
0.0 | 1 | 1995 | Applying Electric Field Sensing to Human-Computer Interfaces · CHI 1995 |
Ubiquitous computing and smart environments
device-free sensing |
0.0 | 1 | 1995 | Applying Electric Field Sensing to Human-Computer Interfaces · CHI 1995 |
Interaction techniques and input › input sensing › touch sensing
electric field sensing |
0.0 | 1 | 1995 | Applying Electric Field Sensing to Human-Computer Interfaces · CHI 1995 |
Interaction techniques and input
gesture input |
0.0 | 1 | 1995 | Applying Electric Field Sensing to Human-Computer Interfaces · CHI 1995 |
Haptics and multimodal interaction › haptic feedback
passive haptic feedback |
0.0 | 1 | 1995 | Applying Electric Field Sensing to Human-Computer Interfaces · CHI 1995 |
Methods — techniques the papers use, named apart from their topics
analytical modeling of sensor measurements · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Applying Electric Field Sensing to Human-Computer InterfacesabstractA non-contact sensor based on the interaction of a person with electric fields for human-computer interface is investigated. Two sensing modes are explored: an external electric field shunted to ground through a human body, and an external electric field transmitted through a human body to stationary receivers. The sensors are low power (milliwatts), high resolution (millimeter) low cost (a few dollars per channel), have low latency (millisecond), high update rate (1 kHz), high immunity to noise (>72 dB), are not affected by clothing, surface texture or reflectivity, and can operate on length scales from microns to meters. Systems incorporating the sensors include a finger mouse, a room that knows the location of its occupant, and people-sensing furniture. Haptic feedback using passive materials is described. Also discussed are empirical and analytical approaches to transform sensor measurements into position information. KEYWORDS: user interface, input device, gesture interface, non-... Thomas G. Zimmerman, Joshua R. Smith 0001, Joseph A. Paradiso, David Allport, Neil Gershenfeld |
CHI | 4 |