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Sarah M. Brown

dblp:89/2636 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · conflict

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

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorHuman-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.

Artificial intelligence
1 paper
Probabilistic and Bayesian machine learning · 77% Trustworthy machine learning · 23%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational social science and digital humanities › cognitive science
computational psychology
0.212016
Machine Learning for Computational Psychology · AAAI 2016
Machine learning › Trustworthy machine learning › robustness
learning with noisy labels
0.112016
Machine Learning for Computational Psychology · AAAI 2016
Human-robot interaction
social robot
0.012002
A technical demonstration of Lola, the robot entertainer · ACM Multimedia 2002
Human-robot interaction › service robot
entertainment robot
0.012002
A technical demonstration of Lola, the robot entertainer · ACM Multimedia 2002

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

stability assessment · 0.5machine learning · 0.5
YearPublicationVenuePosition
2016 Machine Learning for Computational Psychology
abstract
Advances in sensing and imaging have provided psychology researchers new tools to understand how the brain creates the mind and simultaneously revealed the need for a new paradigm of mind-brain correspondence-- a set of basic theoretical tenets and an overhauled methodology. I develop machine learning methods to overcome three initial technical barriers to application of the new paradigm. I assess candidate solutions to these problems using two test datasets representing different areas of psychology: the first aiming to build more objective Post-Traumatic Stress Disorder(PTSD) diagnostic tools using virtual reality and peripheral physiology, the second aiming to verify theoretical tenets of the new paradigm in a study of basic affect using functional Magnetic Resonance Imaging(fMRI). Specifically I address three technical challenges: assessing performance in small, real datasets through stability; learning from labels of varying quality; and probabilistic representations of dynamical systems.
Sarah M. Brown
AAAI1
2004 A social informatics approach to human-robot interaction with a service social robot
abstract
The development of an autonomous social robot, Cherry, is occurring in tandem with studies gaining potential user preferences, likes, dislikes, and perceptions of her features. Thus far, results have indicated that individuals 1) believe that service robots with emotion and personality capabilities would make them more acceptable in everyday roles in human life, 2) prefer that robots communicate via both human-like facial expressions, voice, and text-based media, 3) become more positive about the idea of service and social robots after exposure to the technology, and 4) find the appearance and facial features of Cherry pleasing. The results of these studies provide the basis for future research efforts, which are discussed.
Christine L. Lisetti, Sarah M. Brown, Kaye Alvarez, Andreas H. Marpaung
IEEE Trans. Syst. Man Cybern. Part C2
2002 A technical demonstration of Lola, the robot entertainer
abstract
Article Share on A technical demonstration of Lola, the robot entertainer Authors: Andreas H. Marpaung University of Central Florida, Orlando, FL University of Central Florida, Orlando, FLView Profile , Sarah M. Brown University of Central Florida, Orlando, FL University of Central Florida, Orlando, FLSearch about this author , Christine L. Lisetti University of Central Florida, Orlando, FL University of Central Florida, Orlando, FLView Profile Authors Info & Claims MULTIMEDIA '02: Proceedings of the tenth ACM international conference on MultimediaDecember 2002Pages 91–93https://doi.org/10.1145/641007.641027Published:01 December 2002Publication History 1citation200DownloadsMetricsTotal Citations1Total Downloads200Last 12 Months1Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Andreas H. Marpaung, Sarah M. Brown, Christine L. Lisetti
ACM Multimedia2