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Alan Natapoff

dblp:27/5001 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2007
—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 · 1Applied, 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% Immersive interaction · 23%
Theoretical computer science
1 paper
Mathematical optimization · 77% Combinatorics and discrete mathematics · 23%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
teleoperation
0.112007
Influence of perspective-taking and mental rotation abilities in space teleoperation · HRI 2007
Immersive interaction › virtual reality
virtual reality simulation
0.012007
Influence of perspective-taking and mental rotation abilities in space teleoperation · HRI 2007
Mathematical optimization › discrete optimization
boolean function minimization
0.011967
Irreducible Topological Components of an Arbitrary Boolean Truth Function and Generation of Their Minimal Coverings · J. ACM 1967

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

spatial ability test · 0.1perspective-taking · 0.1mental rotation · 0.1quine-mccluskey · 0.0
YearPublicationVenuePosition
2007 Influence of perspective-taking and mental rotation abilities in space teleoperation
abstract
Operator performance during Space Shuttle and International Space Station robotic arm training can differ dramatically among astronauts. The difficulty making appropriate camera selections and accurate use of hand controllers, two of the more important aspects for performance, may be rooted in a problem mentally relating the various reference frames used by the displays, hand controllers and robot arm. In this paper, we examine whether the origin of such individual differences can be found in certain components of spatial ability. We have developed a virtual reality simulation of the Space Station Robotic Workstation to investigate whether performance differences can be correlated with subjects' perspective-taking and mental rotation abilities. Spatial test scores were measured and correlated to their performance in a docking robotic task. The preliminary results show that both mental rotation strategies and perspective-taking strategies are used by the operator to move the robot arm around the workspace. Further studies must be performed to confirm such findings. If important correlations between performance and spatial abilities are found, astronaut training could be designed in order to fulfill each operator's needs, reducing both training time and cost.
M. Alejandra Menchaca-Brandan, Andrew Menching Liu, Charles M. Oman, Alan Natapoff
HRI4
1967 Irreducible Topological Components of an Arbitrary Boolean Truth Function and Generation of Their Minimal Coverings
abstract
An extension of the work initiated by Quine in reducing an arbitrary Boolean truth function to its minimal form is presented. Apart from the unique parts of the form, the entire class of nonunique forms is discussed. The portion of the truth table that is left uncovered by the unique parts of the solution is partitioned into topologically invariant components of which it is the direct sum. Each component may be covered independently of the others. The generation of the set of coverings of a component is developed around a central theorem: A union of cells, all basic to a particular vertex, contains no further cells basic to that vertex. A proof of the theorem is given. The components are components in the topological sense and are preserved under changes of representation. The discussion focuses on the general, unrefinable structure of a Boolean function, as opposed to practical means for calculating its minimal coverings.
Alan Natapoff
J. ACM1