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Carlotta Johnson

dblp:67/7044 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2003
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 · 77% User interface design and tools · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
human-robot interface
0.012002
Enhancing a Human-Robot Interface using Sensory Egosphere · ICRA 2002
User interface design and tools
graphical user interface
0.012002
Enhancing a Human-Robot Interface using Sensory Egosphere · ICRA 2002

Methods — techniques the papers use, named apart from their topics

situational awareness modeling · 0.0sensor fusion · 0.0
YearPublicationVenuePosition
2003 Evaluation of an enhanced human-robot interface
abstract
A human-robot interface for a mobile robot was extended to include a discrete geodesic dome called a Sensory EgoSphere (SES) The SES is a two-dimensional data structure, centered on the robot's coordinate frame. The SES provides the robot's perspective of a remote environment via images, sonar, and laser range finder representations. It was proposed that the SES would enhance the general interface usability by decreasing perceived workload and increasing situational awareness. A human factors evaluation was performed to evaluate the established hypothesis. Novice users participated in the evaluation. The purpose of this paper is to review some of the evaluation results.
Carlotta Johnson, Julie A. Adams, Kazuhiko Kawamura
SMC1
2002 Enhancing a Human-Robot Interface using Sensory Egosphere
abstract
Shows how a Sensory EgoSphere (SES), a robot-centric geodesic dome that represents the short term memory of a mobile robot, could enhance a human-robot interface. It is proposed that the addition of this visual representation of the sensor data on a mobile robot enhances the effectiveness of a human-robot interface. The SES migrates information presentation to the user from the sensing level to the perception level. The composition of the vision with other sensors on the SES surrounding the robot gives clarity and ease of interpretation. It enables the user to better visualize the present circumstances of the robot. The human-robot interface (HRI) will be implemented through a graphical user interface (GUI) which contains the SES, command prompt, compass, environment map, sonar and laser display. This paper proposes that the SES increases situational awareness and allows the human supervisor to accurately ascertain the present perception (sensory input) of the robot and use this information to assist the robot in getting out of difficult situations.
Carlotta Johnson, Ahmet Bugra Koku, Kazuhiko Kawamura, Richard Alan Peters II
ICRA1