Mirjam Augstein
ABSTRACT
Personalization has been discussed in a number of domains and it also plays an important role in the area of human-computer interaction as users' interaction abilities and preferences vary drastically. Considering these individual characteristics can contribute to better user experience and also accessibility of interactive settings. This extended abstract describes a framework that enables personalized interaction based on analyzing and modeling users' interaction abilities.
- Pradipta Biswas and Patrick Robinson, Peter ad Langdon. 2012. Designing Inclusive Interfaces Through User Modeling and Simulation. Int. Journal of Human-Computer Interaction 28 (2012), 1--33.Google Scholar
Cross Ref
- Krzysztof Z. Gajos, Jacob O. Wobbrock, and Daniel S. Weld. 2007. Automatically generating user interfaces adapted to users' motor and vision capabilities. In Proc. UIST 2007. ACM Press, 231--240. Google ScholarDigital Library
- S. Hwang, A. Bianchi, M. Ahn, and K.Y. Wohn. 2013a. MagPen: Magnetically Driven Pen Interaction On and Around Conventional Smartphones. In Proceedings of the 15th International Conference on Human-Computer Interaction with Mobile Devices and Services. Google ScholarDigital Library
- S. Hwang, A. Bianchi, and K.Y. Wohn. 2013b. VibPress: Estimating Pressure Input Using Vibration Absorption on Mobile Devices. In Proceedings of the 15th International Conference on Human-Computer Interaction with Mobile Devices and Services. Google ScholarDigital Library
- Thomas Neumayr, Mirjam Augstein, Stephan Vrecer, Werner Kurschl, and Josef Altmann. 2016. Learning Special Input Methods with Personalized Game Applications. In Mensch und Computer 2016, Workshopband. Oldenbourg.Google Scholar
- Thomas Neumayr, Daniel Kern, Mirjam Augstein, Werner Kurschl, and Josef Altmann. 2015. Analyzing Interaction for Automated Adaptation - First Steps in the IAAA Project. International Journal of Electronics and Telecommunications 61, 2 (2015), 159--164.Google ScholarCross Ref
Index Terms
- An Analysis and Modeling Framework for Personalized Interaction
Recommendations
Personalized interaction on large displays: the StreetSmart project approach
AVI '14: Proceedings of the 2014 International Working Conference on Advanced Visual InterfacesThe StreetSmart Project develops information services that integrate multiple (touch and touchless) interaction paradigms on personal devices and large public displays. It exploits personalization techniques in order to offer new engaging user ...
Collaborative user modeling with user-generated tags for social recommender systems
With the popularity of social media services, the sheer amount of content is increasing exponentially on the Social Web that leads to attract considerable attention to recommender systems. Recommender systems provide users with recommendations of items ...
Towards Comprehensive User Modeling on the Social Web for Personalized Link Recommendations
UMAP '16: Proceedings of the 2016 Conference on User Modeling Adaptation and PersonalizationUser modeling for individual users on the Social Web plays a significant role and is a fundamental step for personalization as well as recommendations. Previous studies have proposed various user modeling strategies in different dimensions such as (1) ...
Comments