N
Nigel Davies
Researcher at Lancaster University
Publications - 300
Citations - 21183
Nigel Davies is an academic researcher from Lancaster University. The author has contributed to research in topics: Mobile computing & Ubiquitous computing. The author has an hindex of 59, co-authored 289 publications receiving 20229 citations. Previous affiliations of Nigel Davies include University of Arizona & University of Cambridge.
Papers
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Journal ArticleDOI
Female control of copulations to maximize male help: a comparison of polygynandrous alpine accentors,Prunella collaris, and dunnocks,P. modularis
TL;DR: It is suggested that the extraordinarily high rates of solicitation by females, refusal by males and copulation rates in the two species are the outcome of sexual conflict over the control of mating.
Journal ArticleDOI
Supporting service discovery, querying and interaction in ubiquitous computing environments
TL;DR: The design of a simple extensible meta-service discovery architecture that uses database techniques to unify service discovery protocols and addresses several of the key requirements of this paper.
Journal ArticleDOI
Developing Adaptive Applications: The MOST Experience
TL;DR: This paper reviews existing adaptation techniques and describes an experiment in developing an adaptive mobile application and associated distributed systems platform to provide a basis for the engineering of future adaptive systems.
Proceedings ArticleDOI
HCI, Civic Engagement & Trust
TL;DR: An extensive study of civic engagement in the domain of public infrastructure maintenance is reported on and insights into the civic management processes are provided to support future design of trusted civic engagement interactions.
Proceedings ArticleDOI
Using bluetooth device names to support interaction in smart environments
TL;DR: This paper describes the basic approach, a number of applications that are constructed using this technique and the results of the evaluation work which has included a range of user studies and field trials, and an assessment of the viability of using this approach for interaction scenarios involving mobile users and computationally rich environments.