CHI '02 Extended Abstracts on Human Factors in Computing Systems
Finding meaningful uses for context-aware technologies: the humanistic research strategy
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Utilising context ontology in mobile device application personalisation
Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia
International Journal of Human-Computer Studies
Retrieval of context-aware applications on mobile devices: how to evaluate?
Proceedings of the second international symposium on Information interaction in context
BlueMall: a bluetooth-based advertisement system for commercial areas
Proceedings of the 3nd ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Design and Implementation of Mobile Personal Emotion Monitoring System
MDM '09 Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware
Measuring Mobile Emotions: Measuring the Impossible?
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
WiMo: location-based emotion tagging
Proceedings of the 8th International Conference on Mobile and Ubiquitous Multimedia
Emotion recognition from speech signals using new harmony features
Signal Processing
Affective social network--happiness inducing social media platform
Multimedia Tools and Applications
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In recent years content aware mobile application are boomed. Both, research activities and business focus are kept on the information about physical space understand as proximity (Bluetooth), geographical location (GPS) and movement (accelerometer). Growing computational power of mobile devices allow researchers to make a step further and design application which "feel what their user feels". The paper promotes an idea of the emotional aware mobile application as a natural next step in content awareness. A novel framework for developing emotion aware mobile applications is presented and possible sources of emotion rich information in mobile environment are identified and pointed out. Information about user's mood can be used in a variety of application. Some of them like filtering information or tracking stressing situation are described. As a proof-of-concept two application were created.