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Robert Armstrong

dblp:48/5298 · DBLP profile ↗
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4ranked-venue papers
2as first author
1since 2021 · last 2023
—ORCID · unresolved

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

Systems, architecture and hardware · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 since 2021

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
Collaborative and social computing · 77% Human-robot interaction · 23%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Distributed systems · 53% High-performance computing · 33% Performance modeling and evaluation · 13%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing
social connectedness
0.712023
Role-taking and robotic form: an exploratory study of social connection in human-robot interaction · Int. J. Hum. Comput. Stud. 2023
Human-robot interaction › robot design
robot morphology
0.212023
Role-taking and robotic form: an exploratory study of social connection in human-robot interaction · Int. J. Hum. Comput. Stud. 2023
Distributed systems › middleware
component-based frameworks
0.112006
Compframe - Compframe: developement of component frameworks for high performance computing · SC 2006
Data integration and cleaning
data warehouse
0.011997
Data Warehousing: Dealing with the Growing Pains · ICDE 1997
Performance modeling and evaluation › parallel system performance
cluster performance analysis
0.011996
Commodity Clusters: Performance Comparison Between PC's and Workstations · HPDC 1996
High-performance computing › cluster computing
commodity cluster
0.011996
Commodity Clusters: Performance Comparison Between PC's and Workstations · HPDC 1996
Data integration and cleaning › data warehouse
data warehouse design
0.011997
Data Warehousing: Dealing with the Growing Pains · ICDE 1997
High-performance computing
scientific computing
0.011996
Commodity Clusters: Performance Comparison Between PC's and Workstations · HPDC 1996

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

performance analysis · 0.0benchmarking · 0.0
YearPublicationVenuePosition
2023 Role-taking and robotic form: an exploratory study of social connection in human-robot interaction
abstract
Human-robot interaction (HRI) spans many and diverse contexts, each varying in the preferred degree of social connection fostered therein. The design of robotic systems and selection of which robotic forms to use will thus benefit from an understanding of the factors by which social connection is enhanced or diminished. We address this fundamental problem through an exploratory study of role-taking, a core construct from structural social psychology. Through a laboratory experiment (N=86) in which participants interact with either human, humanoid robot, or non-humanoid robot partners, we examine variation in perceived role-taking accuracy, affection for the partner, and desire for continued interaction. Findings show that participants evaluate human interaction partners as more accurate role-takers than robots, but with variation between robotic types (humanoid vs non-humanoid) in relation to personality versus emotion. Sense of affection and desire for continued interaction are predicted by interpersonal factors rather than partner type or robotic form. We discuss possible reasons behind these preliminary findings and draw on them to formulate subsequent research questions. More broadly, we call for continued study at the intersection of HRI and structural social psychology, advancing both fields through the pairing.
Jenny L. Davis, Robert Armstrong, Anne Groggel, Sharni Doolan, Jake Sheedy, Tony P. Love, Damith Chandana Herath
Int. J. Hum. Comput. Stud.2
2006 Compframe - Compframe: developement of component frameworks for high performance computing
abstract
Compframe is an open international organization of framework and component framework developers representing many of the major efforts in HPC today. The purpose of this BOF is to assemble developers of framework and component frameworks for high performance computing. Application developers and users of these frameworks are also welcome in the context of user experience, desired enhancements, horror stories, etc. Discussion will center design patterns, methodologies, user experience and interoperability with these tools. Of particular interest is the viability of these frameworks for petascale applications on the next generation leadership class hardware coming on line soon. Also under discussion is the possiblity of a follow-on workshop, its date, venue, content and the publication of proceedings.
Robert Armstrong
SC1
1997 Data Warehousing: Dealing with the Growing Pains
abstract
A data warehouse provides a customer with information to run and plan their business. It is true that if the data warehouse cannot quickly adapt to changes in the environment then the company will lose the advantage that information provides. A warehouse must be built with a solid foundation that is flexible and responsive to business changes. The purpose of the paper is to share experiences in the area of managing the growth within the data warehouse. There are many technical issues that need to be addressed as the data warehouse grows in multiple dimensions. The ideas in this paper should enable you to provide the correct foundation for a long term warehouse. Very few companies are discussing these issues and the lack of discussion leads to a lack of knowledge that will further lead to poor architectural choices. The paper articulates not only the benefits that are derived from data warehousing today but how to prepare to reap benefits for many tomorrow's. It also explores the questions to ask, the points to make, and the issues to be addressed to have a long term successful data warehouse project.
Robert Armstrong
ICDE1
1996 Commodity Clusters: Performance Comparison Between PC's and Workstations
abstract
DAISy (Distributed Array of Inexpensive Systems) is a 16 node PC cluster running a full Unix compatible operating system. The network media used includes standard 10 Mb/s (10BASE-2) Ethernet (used for client node NFS mounts and any client node interactive work users find necessary), and, switched 100 Mbs/(100BASE-TX) Fast Ethernet (used for user program message passing traffic). The DAISy cluster is used to investigate the viability of commodity PC technology to perform computation of scientific and engineering problems traditionally performed on "supercomputers", and more recently high performance RISC workstations and clusters of RISC workstations. Performance analysis of the various single node subsystems were carried out along with performance analysis of the cluster as a whole on a number of parallel applications. The results show that the current Pentium 90 MHz CPU and motherboards used are well within that of many low end workstations offered by traditional workstation vendors.
Russell Carter, John Laroco, Robert Armstrong
HPDC3