Demo Data from SIGIR 2026 / reviewers in the wild / expert
Robert Diaz-Marino
dblp:79/7984 · also Rob Diaz-Marino
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—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 · 56% User interface design and tools · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input › spatial interaction
proxemic interaction |
0.1 | 1 | 2011 | The proximity toolkit: prototyping proxemic interactions in ubiquitous computing ecologies · UIST 2011 |
User interface design and tools
user interface toolkit |
0.1 | 1 | 2011 | The proximity toolkit: prototyping proxemic interactions in ubiquitous computing ecologies · UIST 2011 |
Interaction techniques and input
cross-device interaction |
0.0 | 1 | 2011 | The proximity toolkit: prototyping proxemic interactions in ubiquitous computing ecologies · UIST 2011 |
Methods — techniques the papers use, named apart from their topics
visual monitoring · 0.1depth sensing · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | The proximity toolkit: prototyping proxemic interactions in ubiquitous computing ecologiesabstractPeople naturally understand and use proxemic relationships (e.g., their distance and orientation towards others) in everyday situations. However, only few ubiquitous computing (ubicomp) systems interpret such proxemic relationships to mediate interaction (proxemic interaction). A technical problem is that developers find it challenging and tedious to access proxemic information from sensors. Our Proximity Toolkit solves this problem. It simplifies the exploration of interaction techniques by supplying fine-grained proxemic information between people, portable devices, large interactive surfaces, and other non-digital objects in a room-sized environment. The toolkit offers three key features. 1) It facilitates rapid prototyping of proxemic-aware systems by supplying developers with the orientation, distance, motion, identity, and location information between entities. 2) It includes various tools, such as a visual monitoring tool, that allows developers to visually observe, record and explore proxemic relationships in 3D space. (3) Its flexible architecture separates sensing hardware from the proxemic data model derived from these sensors, which means that a variety of sensing technologies can be substituted or combined to derive proxemic information. We illustrate the versatility of the toolkit with proxemic-aware systems built by students. Nicolai Marquardt, Robert Diaz-Marino, Sebastian Boring, Saul Greenberg |
UIST | 2 |