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Lynn Urbina

dblp:177/8650 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Human-robot interaction
assistive robotics
0.212016
Robotic Assistance in Indoor Navigation for People who are Blind · HRI 2016
Human-robot interaction › service robot
guide robot
0.212016
Robotic Assistance in Indoor Navigation for People who are Blind · HRI 2016
Ubiquitous computing and smart environments › location-based services
indoor navigation
0.112016
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
YearPublicationVenuePosition
2016 Robotic Assistance in Indoor Navigation for People who are Blind
abstract
In 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
HRI3