Propagating imprecise probabilities in Bayesian networks
Artificial Intelligence
Understanding and Using Context
Personal and Ubiquitous Computing
Models of attention in computing and communication: from principles to applications
Communications of the ACM
Bayesian approach to sensor-based context awareness
Personal and Ubiquitous Computing
Controlling Home and Office Appliances with Smart Phones
IEEE Pervasive Computing
Huddle: automatically generating interfaces for systems of multiple connected appliances
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
Embedded web server-based home appliance networks
Journal of Network and Computer Applications
Demonstrating the viability of automatically generated user interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders
IEEE Transactions on Knowledge and Data Engineering
Interaction framework for home environment using speech and vision
Image and Vision Computing
Visualization and interaction of pervasive services using context-aware augmented reality
Expert Systems with Applications: An International Journal
The integration of home-automation and IPTV system and services
Computer Standards & Interfaces
ConaMSN: A context-aware messenger using dynamic Bayesian networks with wearable sensors
Expert Systems with Applications: An International Journal
Learning and interacting in human-robot domains
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
| Hi-index | 12.05 |
Modern home theater systems require users to control various devices simultaneously including a TV, audio equipment, DVD and video players, and a receiver. To perform the requested user functions in this situation, the user is required to know the functions and positions of the buttons on several remote controls. Users will become more confused if a ubiquitous home environment, which contains many mobile and stationary control devices, is realized. Therefore, the user interface should be adaptable for requested user functions and to fit a specific control device. This paper presents a context-adaptive user interface for the control of devices in ubiquitous home environment. First, we modeled the ubiquitous home environment in order to implement the context-adaptive user interface. We used a Bayesian network to predict the necessary devices in each situation and used a behavior network to select the functions that constitute an adaptive user interface in several conditions. The selected functions were used to generate an adaptive interface for each controller using a presentation template. In this paper, we implemented a ubiquitous home environment and generated a controller usage log for this environment. We confirmed that the Bayesian network effectively predicted the user requirements by evaluating the inferred results of the necessary devices based on several scenarios. Finally, we compared the adaptive user interface with the fixed user interface by surveying fourteen subjects. We confirmed that the generated adaptive user interface was more comfortable for use with typical tasks than was the fixed user interface.