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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.

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Proceedings Article

Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications

TL;DR: The idea to hold a conference on human-computer interaction issues related to cars emerged some years back and the plans for the conference were well worked out when in late 2008 the economic crisis also impacted the car industry.
Posted Content

Collaborative Interactive Learning - A clarification of terms and a differentiation from other research fields.

TL;DR: There is still the need to clarify some terms such as information, knowledge, and experience in the context of CIL and to differentiate CIL from recent and ongoing research in related fields such as active learning, collaborative learning, and others.
Proceedings ArticleDOI

Tools and methods for creating interactive artifacts

TL;DR: The aim is to provide the participants with an overview of existing embedded development tools suitable for creating interactive artifacts and to provide some hands on-experience with different new platforms.
Proceedings ArticleDOI

Designing Thermal Feedback for Notifying Users About Stress

TL;DR: An investigation of thermal feedback for notifying users about stress comprising the exploration of the preferred temperature level, rate of change, and body location and found that cold stimuli are preferred in general, showing that ± − 0.5◦C is the optimal rate ofchange and preferably when presented at the lower back.

Mobile Interaction in Smart Environments

TL;DR: This 'work in progress' paper presents a framework, a analysis and a design of a set of mobile phone based prototypes used to evaluate mobile interaction in smart environments, namely Scanning, Pointing and Touching.