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Kenneth Chan

dblp:65/243 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2010
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous 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
Games and playful interaction · 77% Human-robot interaction · 23%

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

TopicWeightPapersLastEvidence papers
Games and playful interaction
player experience
0.112010
Measuring interest in linear single player FPS games · SIGGRAPH ASIA (Sketches) 2010
Human-robot interaction › human behavior modeling
attention estimation
0.012010
Measuring interest in linear single player FPS games · SIGGRAPH ASIA (Sketches) 2010

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

attention measurement · 0.1
YearPublicationVenuePosition
2010 Measuring interest in linear single player FPS games
abstract
In this study, we measured attention levels to identify points of high player interest in linear single player FPS games. Our results suggest that further analysis of these points could lead to a better understanding of player interest and how to design interesting encounters in games.
Kenneth Chan, Koji Mikami, Kunio Kondo
SIGGRAPH ASIA (Sketches)1
2006 QoS-Aware Model Driven Architecture through the UML and CIM
abstract
The specification of quality of service (QoS) constraints over software design requires measures that ensure such requirements are met by the delivered product. Achieving this goal is non-trivial, as it involves, at least, identifying how QoS constraint specifications should be checked at the runtime. In this paper we present an implementation of a model driven architecture (MDA) based framework for the runtime monitoring of QoS properties. We incorporate the UML2 superstructure and the UML profile for quality of service to provide abstract descriptions of component-and-connector systems. We then define transformations that refine the UML2 models to conform with the distributed management taskforce (DMTF) common information model (CIM) (2006), a schema standard for management and instrumentation of hardware and software. Finally, we provide a mapping the CIM metamodel to a .NET-based metamodel for implementation of the monitoring infrastructure utilising various .NET features including the Windows Management Instrumentation (WML) interface
Kenneth Chan, Iman Poernomo
EDOC1
2003 Development of Hybrid Interface for Intelligent Sensor Management
Kenneth Chan, N. Kansara, M. Mirbagheri, Siddeswara Guru, Saman K. Halgamuge, Saman Fernando
HIS1