Demo Data from SIGIR 2026 / reviewers in the wild / expert
Lynn Urbina
dblp:177/8650
· 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
Artificial intelligence and machine learning · 1Human-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 |
Human-robot interaction · 91% Ubiquitous computing and smart environments · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
assistive robotics |
0.2 | 1 | 2016 | Robotic Assistance in Indoor Navigation for People who are Blind · HRI 2016 |
Human-robot interaction › service robot
guide robot |
0.2 | 1 | 2016 | Robotic Assistance in Indoor Navigation for People who are Blind · HRI 2016 |
Ubiquitous computing and smart environments › location-based services
indoor navigation |
0.1 | 1 | 2016 | Robotic Assistance in Indoor Navigation for People who are Blind · HRI 2016 |
Methods — techniques the papers use, named apart from their topics
user study · 0.2personalization · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Robotic Assistance in Indoor Navigation for People who are BlindabstractIn this paper, we describe the process of making a robot useful as a guide robot for people who are blind or visually impaired. For this group, the interactive audio feature of a robot assumes a very high level of importance. We have introduced some features that will help to make the robot sound natural and be more comfortable. We first addressed the question of the speaker placement to help the user determine the size and distance of the robot. After the initial meeting, user data will be retained by the robot so that their communication evolves with every interaction. The robot will also ask the users if they need to take a rest after a specified interval depending upon the user's age and the distance they need to cover. The next time they visit, all this information will be used to make the interaction more natural and customized for each individual user. Aditi Kulkarni, Allan Wang, Lynn Urbina, Aaron Steinfeld, M. Bernardine Dias |
HRI | 3 |