A
Albrecht Schmidt
Researcher at Ludwig Maximilian University of Munich
Publications - 623
Citations - 20888
Albrecht Schmidt is an academic researcher from Ludwig Maximilian University of Munich. The author has contributed to research in topics: Ubiquitous computing & User interface. The author has an hindex of 66, co-authored 590 publications receiving 18728 citations. Previous affiliations of Albrecht Schmidt include Technische Universität Darmstadt & Karlsruhe Institute of Technology.
Papers
More filters
Journal ArticleDOI
There is more to context than location
TL;DR: A working model for context is introduced, mechanisms to acquire context beyond location, and application of context-awareness in ultra-mobile computing are discussed and fusion of sensors for acquisition of information on more sophisticated contexts are explored.
Journal ArticleDOI
Implicit human computer interaction through context
TL;DR: In this article, an XML-based language to describe implicit human-computer interaction (HCI) is proposed, using contextual variables that can be grouped using different types of semantics as well as actions that are called by triggers.
Proceedings ArticleDOI
Advanced Interaction in Context
Albrecht Schmidt,Kofi Asante Aidoo,Antti Takaluoma,Urpo Tuomela,Kristof Van Laerhoven,Walter Van de Velde +5 more
TL;DR: A layered real-time architecture for this kind of context-aware adaptation based on redundant collections of low-level sensors, which has shown that it is feasible to recognize contexts using sensors and that context information can be used to create new interaction metaphors.
Journal ArticleDOI
Multi-sensor context-awareness in mobile devices and smart artifacts
TL;DR: This article proposes a different approach based on integration of multiple diverse sensors for awareness of situational context that can not be inferred from location, and targeted at mobile device platforms that typically do not permit processing of visual context.
Proceedings ArticleDOI
Knowing the user's every move: user activity tracking for website usability evaluation and implicit interaction
TL;DR: This paper investigates how detailed tracking of user interaction can be monitored using standard web technologies to enable implicit interaction and to ease usability evaluation of web applications outside the lab.