E-Book, Englisch, Band 2954, 306 Seiten, eBook
Mobile HCI 2003 International Workshop, Udine, Italy, September 8, 2003, Revised and Invited Papers
E-Book, Englisch, Band 2954, 306 Seiten, eBook
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-540-24641-1
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Foundations: Concepts, Models, and Paradigms.- The Concept of Relevance in Mobile and Ubiquitous Information Access.- Conversational Design as a Paradigm for User Interaction on Mobile Devices.- One-Handed Use as a Design Driver: Enabling Efficient Multi-channel Delivery of Mobile Applications.- Enabling Communities in Physical and Logical Context Areas as Added Value of Mobile and Ubiquitous Applications.- Interactions.- Accessing Web Educational Resources from Mobile Wireless Devices: The Knowledge Sea Approach.- Spoken versus Written Queries for Mobile Information Access.- Focussed Palmtop Information Access Combining Starfield Displays with Profile-Based Recommendations.- Applications and Experimental Evaluations.- Designing Models and Services for Learning Management Systems in Mobile Settings.- E-Mail on the Move: Categorization, Filtering, and Alerting on Mobile Devices with the ifMail Prototype.- Mobile Access to the Físchlár-News Archive.- A PDA-Based System for Recognizing Buildings from User-Supplied Images.- SmartView and SearchMobil: Providing Overview and Detail in Handheld Browsing.- Compact Summarization for Mobile Phones.- Supporting Searching on Small Screen Devices Using Summarisation.- Towards the Wireless Ward: Evaluating a Trial of Networked PDAs in the National Health Service.- Aspect-Based Adaptation for Ubiquitous Software.- Context and Location.- Context-Aware Retrieval for Ubiquitous Computing Environments.- Ubiquitous Awareness in an Academic Environment.- Accessing Location Data in Mobile Environments – The Nimbus Location Model.- A Localization Service for Mobile Users in Peer-to-Peer Environments.- Sensing and Filtering Surrounding Data: The PERSEND Approach.