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Allison Bruce

dblp:83/5229 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2005
—ORCID · none

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

Artificial intelligence and machine learning · 3 · 2 first-authorSystems, architecture and hardware · 3 · 2 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
2 papers
Human-robot interaction · 67% Collaborative and social computing · 33%
Artificial intelligence
1 paper
Multi-agent systems · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
social robot
0.122002
The Role of Expressiveness and Attention in Human-Robot Interaction · ICRA 2002
Robot Improv: Using Drama To Create Believable Agents · ICRA 2000
Collaborative and social computing
social interaction
0.012002
The Role of Expressiveness and Attention in Human-Robot Interaction · ICRA 2002
Human-robot interaction › robot design
humanoid robot design
0.012002
The Role of Expressiveness and Attention in Human-Robot Interaction · ICRA 2002
Knowledge, reasoning and agents › Multi-agent systems
multi-robot systems
0.012000
Robot Improv: Using Drama To Create Believable Agents · ICRA 2000

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

java implementation · 0.1drama-based acting · 0.1user experiment · 0.0
YearPublicationVenuePosition
2005 Designing robots for long-term social interaction
abstract
Valerie the roboceptionist is the most recent addition to Carnegie Mellon's social robots project. A permanent installation in the entranceway to Newell-Simon hall, the robot combines useful functionality - giving directions, looking up weather forecasts, etc. - with an interesting and compelling character. We are using Valerie to investigate human-robot social interaction, especially long-term human-robot "relationships". Over a nine-month period, we have found that many visitors continue to interact with the robot on a daily basis, but that few of the individual interactions last for more than 30 seconds. Our analysis of the data has indicated several design decisions that should facilitate more natural human-robot interactions.
Rachel Gockley, Allison Bruce, Jodi Forlizzi, Marek P. Michalowski, Anne Mundell, Stephanie Rosenthal, Brennan Sellner, Reid G. Simmons, Kevin Snipes, Alan C. Schultz
IROS2
2002 The Role of Expressiveness and Attention in Human-Robot Interaction
abstract
This paper presents the results of an experiment in human-robot social interaction. Its purpose was to measure the impact of certain features and behaviors on people's willingness to engage in a short interaction with a robot. The behaviors tested were the ability to convey expression with a humanoid face and the ability to indicate attention by turning towards the person that the robot is addressing. We hypothesized that these features were minimal requirements for effective social interaction between a human and a robot. We will discuss the results of the experiment and their implications for the design of socially interactive robots.
Allison Bruce, Illah R. Nourbakhsh, Reid G. Simmons
ICRA1
2000 Robot Improv: Using Drama To Create Believable Agents
abstract
Believable agents usually depend upon explicit, model-based simulations of human emotions. This work appeals instead to the sensibilities of dramatic acting to create agents that are believable. The chosen task is that of comedy improvisation as it provides a solid demonstration of the agents' believability in the context of a high-level deliberative goal. Furthermore, this work employs physical robots as the actors, employing the real-time sensor values from the robots as inputs into the acting process. This paper describes the dramatic approach to acting that we used and describes the Java-based implementation on two Nomad Scout robots. Actual, improvised scripts created by the robots are included and analyzed.
Allison Bruce, Jonathan Knight, Samuel Listopad, Brian Magerko, Illah R. Nourbakhsh
ICRA1