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Philip Lamb

dblp:79/520 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none

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 · 1Human-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.

Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 44% Immersive interaction · 44% Usability and user experience research · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing › remote collaboration
mixed-space collaboration
0.112005
Evaluation of Mixed-Space Collaboration · ISMAR 2005
Immersive interaction › mixed reality
transitional interfaces
0.112005
Evaluation of Mixed-Space Collaboration · ISMAR 2005

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

quantitative evaluation · 0.1navigational task · 0.1
YearPublicationVenuePosition
2006 Development of a decision support system for air-cargo pallets loading problem: A case study
Felix T. S. Chan, Rajat Bhagwat, Niraj Kumar 0002, Manoj Kumar Tiwari, Philip Lamb
Expert Syst. Appl.5
2005 Evaluation of Mixed-Space Collaboration
abstract
Recently augmented reality (AR) technology has been used to develop the next generation collaborative interfaces. First results have shown the value of using AR for co-located tasks based on egocentric viewpoints. In contrast, virtual reality (VR) seems to offer interesting advantages for immersive collaborative experiences with egocentric viewpoints. We focus on a new area: a mixed collaboration between AR and VR environments. We present a new conceptual model of transitional interfaces that allow users to move between AR and VR viewpoints. We then describe the results of a quantitative evaluation with an AR exocentric viewpoint and a VR egocentric viewpoint for a navigational task. We also conducted a second experiment on the impact of the relationship between the interaction and visualization space in mixed collaboration. Results of these studies can provide a better understanding of how to design interfaces for multispace and transitional collaboration.
Raphaël Grasset, Philip Lamb, Mark Billinghurst
ISMAR2
2005 Human performance in space telerobotic manipulation
abstract
This paper considers the utility of VR in the design of the interface to a space-based telerobotic manipulator. An experiment was conducted to evaluate the potential for improved operator performance in a telemanipulation task when the operator's control interface was varied between egocentric and exocentric frames of reference (FOR). Participants performed three tasks of increasing difficulty using a VR-based simulation of the Space Shuttle Remote Manipulation System (SRMS) under four different control interface conditions, which varied in respect of two factors, virtual viewpoint FOR (fixed versus attached to arm) and hand controller FOR (end-effector-referenced versus world-referenced.) Results indicated a high degree of interaction between spatial properties of the task and the optimal interface condition. Across all tasks, the conditions under end-effector-referenced control were associated with higher performance, as measured by rate of task completion. The mobile viewpoint conditions were generally associated with lower performance on task completion rate but improved performance with respect to number of collisions between the arm and objects in the environment. We conclude with discussion of implications for telemanipulation applications, and an approach to varying the dimension of viewpoint egocentricity in order to improve performance under the mobile viewpoint.
Philip Lamb, Dean Owen
VRST1