L
Lennart Lövstrand
Researcher at Xerox
Publications - 6
Citations - 1376
Lennart Lövstrand is an academic researcher from Xerox. The author has contributed to research in topics: Decision support system & Multiple-criteria decision analysis. The author has an hindex of 5, co-authored 6 publications receiving 1366 citations.
Papers
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Proceedings ArticleDOI
User-tailorable systems: pressing the issues with buttons
TL;DR: In a two-pronged research project a system to support tailoring and to help the users evolve a “tailoring culture” is developed, based around the use of distributed on-screen Buttons to support a range of tailoring techniques.
Proceedings ArticleDOI
Realizing a video environment: EuroPARC's RAVE system
William Gaver,Thomas P. Moran,Allan MacLean,Lennart Lövstrand,Paul Dourish,Kathleen A. Carter,William Buxton +6 more
TL;DR: Several examples of work to allow physically separated colleagues to work together effectively and naturally are discussed in the context of three themes that have emerged: the need to support the full range of shared work; the desire to ensure privacy without giving up unobtrusive awareness; and the possibility of creating systems which blur the boundaries between people, technologies and the everyday world.
Patent
Browser-based email system with user interface for audio/video capture
TL;DR: In this article, the authors describe a browser-based email system with a thin client connected to a host mail server, which is equipped to receive audio and video data and supports a user interface to facilitate capture of the audio or video data for inclusion in an email message.
Book ChapterDOI
Being selectively aware with the Khronika system
TL;DR: Khronika is an event browsing and notification system that attacks the problems of information overload and information distribution for a wide range of information sources and supports both traditional search and retrieve operations as well as automatic notifications and combinations of both.
Patent
Server-side scripting that enables creation of customized documents for clients
TL;DR: In this article, a server application (144) processes code included in a script (146), causing the server application to issue a request to a decision engine (148) to select content (150) that is designated as appropriate for a client (100) based on attributes (152) of the client(100).