User interface

About: User interface is a research topic. Over the lifetime, 85402 publications have been published within this topic receiving 1728377 citations. The topic is also known as: UI & input method.

The Behavior of Tutoring Systems

Abstract: Tutoring systems are described as having two loops. The outer loop executes once for each task, where a task usually consists of solving a complex, multi-step problem. The inner loop executes once for each step taken by the student in the solution of a task. The inner loop can give feedback and hints on each step. The inner loop can also assess the student's evolving competence and update a student model, which is used by the outer loop to select a next task that is appropriate for the student. For those who know little about tutoring systems, this description is meant as a demystifying introduction. For tutoring system experts, this description illustrates that although tutoring systems differ widely in their task domains, user interfaces, software structures, knowledge bases, etc., their behaviors are in fact quite similar.

uWave: Accelerometer-based personalized gesture recognition and its applications

Abstract: The proliferation of accelerometers on consumer electronics has brought an opportunity for interaction based on gestures or physical manipulation of the devices. We present uWave, an efficient recognition algorithm for such interaction using a single three-axis accelerometer. Unlike statistical methods, uWave requires a single training sample for each gesture pattern and allows users to employ personalized gestures and physical manipulations. We evaluate uWave using a large gesture library with over 4000 samples collected from eight users over an elongated period of time for a gesture vocabulary with eight gesture patterns identified by a Nokia research. It shows that uWave achieves 98.6% accuracy, competitive with statistical methods that require significantly more training samples. Our evaluation data set is the largest and most extensive in published studies, to the best of our knowledge. We also present applications of uWave in gesture-based user authentication and interaction with three-dimensional mobile user interfaces using user created gestures.

System and methods for synchronizing two or more datasets

Abstract: Synchronization system and associated methods provide synchronization of an arbitrary number of datasets, including more than two datasets. To achieve this, a reference dataset is used to store a super-set of the latest or most-recent data from all user datasets to provide a repository of information that is available at all times. Therefore, if the user later wishes to synchronize a new user dataset, such as one in a server computer that stores user information, the system already has all the information necessary for synchronizing the new dataset, regardless of whether any of the other datasets are then available. Further, to simplify use, a unified user interface is provided that allows the user to easily determine which of his or her datasets are currently set to be synchronized and allows the user to conveniently alter the current settings to select one, two, or even more than two clients for synchronization. Various “conflict” or “duplicate” resolution strategies are described for intelligently handling complexities resulting from allowing synchronization for an arbitrary number of datasets and allowing synchronization using even data from datasets that are not available. Architectural support for “plug-in” client accessors and type modules is also provided. This allows support to be added for new datasets or new types of data merely by developing and plugging in new, compact client accessors or type modules, without updating or replacing the core synchronization engine.

PEIR, the personal environmental impact report, as a platform for participatory sensing systems research

Abstract: PEIR, the Personal Environmental Impact Report, is a participatory sensing application that uses location data sampled from everyday mobile phones to calculate personalized estimates of environmental impact and exposure. It is an example of an important class of emerging mobile systems that combine the distributed processing capacity of the web with the personal reach of mobile technology. This paper documents and evaluates the running PEIR system, which includes mobile handset based GPS location data collection, and server-side processing stages such as HMM-based activity classification (to determine transportation mode); automatic location data segmentation into "trips''; lookup of traffic, weather, and other context data needed by the models; and environmental impact and exposure calculation using efficient implementations of established models. Additionally, we describe the user interface components of PEIR and present usage statistics from a two month snapshot of system use. The paper also outlines new algorithmic components developed based on experience with the system and undergoing testing for integration into PEIR, including: new map-matching and GSM-augmented activity classification techniques, and a selective hiding mechanism that generates believable proxy traces for times a user does not want their real location revealed.

Generic User Modeling Systems

Abstract: The paper reviews the development of generic user modeling systems over the past twenty years. It describes their purposes, their services within user-adaptive systems, and the different design requirements for research prototypes and commercially deployed servers. It discusses the architectures that have been explored so far, namely shell systems that form part of the application, central server systems that communicate with several applications, and possible future user modeling agents that physically follow the user. Several implemented research prototypes and commercial systems are briefly described.