B
Barry Brown
Researcher at Stockholm University
Publications - 152
Citations - 7989
Barry Brown is an academic researcher from Stockholm University. The author has contributed to research in topics: Mobile phone & Computer-supported cooperative work. The author has an hindex of 47, co-authored 136 publications receiving 7439 citations. Previous affiliations of Barry Brown include Hewlett-Packard & University of Surrey.
Papers
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Journal ArticleDOI
Dealing with mobility: understanding access anytime, anywhere
TL;DR: A study of mobile workers that highlights different facets of access to remote people and information, and different facet of anytime, anywhere, and four key factors in mobile work are identified.
Book ChapterDOI
Tourism and mobile technology
Barry Brown,Matthew Chalmers +1 more
TL;DR: An ethnographic study of city tourists' practices that draws out a number of implications for designing tourist technology, including the Travelblog, which supports building travel-based web pages while on holiday.
Proceedings ArticleDOI
Interweaving mobile games with everyday life
Marek Bell,Matthew Chalmers,Louise Barkhuus,Malcolm Hall,Scott Sherwood,Paul Tennent,Barry Brown,Duncan Rowland,Steve Benford,Mauricio Capra,Alastair Hampshire +10 more
TL;DR: It is concluded that seamful design provides a route to creating engaging experiences that are well adapted to their underlying technologies.
Journal ArticleDOI
Driving and 'passengering': Notes on the ordinary organization of car travel
Eric Laurier,Hayden Lorimer,Barry Brown,Owain Jones,Oskar Juhlin,Allyson F. Noble,Mark Perry,Daniele Pica,Philippe Sormani,Ignaz Strebel,Laurel Swan,Alex S. Taylor,Laura Watts,Alexandra Weilenmann +13 more
TL;DR: In this paper, the authors examine how social units such as families or relationships such as colleagues or friends are re-assembled and re-organised in the small-scale spaces that are car interiors.
Journal ArticleDOI
Shakra: tracking and sharing daily activity levels with unaugmented mobile phones
Ian Anderson,Julie Maitland,Scott Sherwood,Louise Barkhuus,Matthew Chalmers,Malcolm Hall,Barry Brown,Henk Muller +7 more
TL;DR: A prototype application that tracks the daily exercise activities of people, using an Artificial Neural Network to analyse GSM cell signal strength and visibility to estimate a user’s movement is described.