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CHI
2009
ACM
16 years 5 months ago
A biologically inspired approach to learning multimodal commands and feedback for human-robot interaction
In this paper we describe a method to enable a robot to learn how a user gives commands and feedback to it by speech, prosody and touch. We propose a biologically inspired approac...
Anja Austermann, Seiji Yamada
CHI
2011
ACM
14 years 8 months ago
Modeling users of intelligent systems
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Stephanie Rosenthal
CHI
2008
ACM
16 years 4 months ago
User experience over time
The way we experience and evaluate interactive products develops over time. An exploratory study aimed at understanding how users form evaluative judgments during the first experi...
Evangelos Karapanos, Marc Hassenzahl, Jean-Bernard...
MHCI
2009
Springer
15 years 11 months ago
Exploring the urban environment with a camera phone: lessons from a user study
We present a study investigating two novel mobile services supporting querying for information in the urban environment using camera equipped smart phones as well as two different...
Norman Höller, Arjan Geven, Manfred Tscheligi...
MHCI
2009
Springer
15 years 11 months ago
overView: physically-based vibrotactile feedback for temporal information browsing
An approach to providing tangible feedback to users of a mobile device in both highly visual touchscreen-based and eyes-free interaction scenarios and the transition between the t...
Steven Strachan, Grégoire Lefebvre, Sophie ...