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Meta-User Interfaces for Ambient Environments

Special Issue Information

Dear Colleagues,

Sensor-driven systems allow new forms of interaction, such as cross-device interaction, that can improve the engagement of users in ubicomp spaces. This drives the research to focus on the design of new meta-user interfaces to enable the interaction between the user and the surrounding space through different devices and in different forms depending on the characteristics of the ambient environment. Usability issues are related to the spontaneous discoverability of the meta-user interface, the feedforward of the interaction, and the kinds of feedback.

Contributions to this Special Issue are expected to push the boundaries of user interaction within the ambient environment, exploring how sensor technologies can facilitate the design of cross-device interaction and the ways they can improve the usability of meta-user interfaces to gradually engage users in the surrounding space.

Topics of interest include (but are not limited to) the following:

  • Predictive interaction
  • Interaction in IOT
  • Cross-device interaction
  • Ubiquitous interaction
  • Mixed reality in the ambient environment
  • Adaptive and Context-Aware Interfaces
  • Full-body interaction
  • Multitouch interaction
  • Haptic Feedback
  • Gestural interaction
  • User engagement

In smart application domains such as the following:

  • Domotics
  • Health care 
  • Cultural heritage 
  • Smart community and Smart city
  • Smart industry
  • Smart farming
  • Technology Enhanced Learning
  • Vehicle and environment interaction
  • Human-vehicle interaction

Prof. Dr. Marco Romano
Prof. Dr. Phillip C-Y. Sheu
Prof. Dr. Giuliana Vitiello
Guest Editors

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Keywords

  • Internet of Things (IoT) 
  • Human-Computer Interaction 
  • Artificial intelligence (AI) 
  • Smart ecosystems
  • Smart/Intelligent sensors 
  • Action recognition 
  • Wearable sensors, devices and electronics 
  • Mixed and Augmented realities 
  • User engagement 
  • Cross-device interaction

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Sensors - ISSN 1424-8220Creative Common CC BY license