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.

Distributed, interactive television program guide; system and method

Abstract: In an interactive network-based personal video recording system, a user interface is provided that allows viewers to search a database of program guide information according to program title, indexed program attributes such as actor and director, and key word. Viewer interaction is by way of a remote control unit.

OWL Pizzas: Practical Experience of Teaching OWL-DL: Common Errors & Common Patterns

Abstract: Understanding the logical meaning of any description logic or similar formalism is difficult for most people, and OWL-DL is no exception. This paper presents the most common difficulties encountered by newcomers to the language, that have been observed during the course of more than a dozen workshops, tutorials and modules about OWL-DL and it’s predecessor languages. It emphasises understanding the exact meaning of OWL expressions – proving that understanding by paraphrasing them in pedantic but explicit language. It addresses, specifically, the confusion which OWL’s open world assumption presents to users accustomed to closed world systems such as databases, logic programming and frame languages. Our experience has had a major influence in formulating the requirements for a new set of user interfaces for OWL the first of which are now available as prototypes. A summary of the guidelines and paraphrases and examples of the new interface are provided. The example ontologies are available online.

Method, Device, Mobile Terminal, and Computer Program Product for a Point of Interest Based Scheme for Improving Mobile Visual Searching Functionalities

Abstract: Systems, methods, devices and computer program products which relate to utilizing a camera of a mobile terminal as a user interface for search applications and online services to perform visual searching are provided. The system consists of an apparatus that includes a processor that is configured to capture an image of one or more objects and analyze data of the image to identify an object(s) of the image. The processor is further configured to receive information that is associated with at least one object of the images and display the information that is associated with the image. In this regard, the apparatus is able to simplify access to location based services and improve a user's experience. The processor of the apparatus is configured to combine results of robust visual searches with online information resources to enhance location based services.

Semantics-based code search

Abstract: Our goal is to use the vast repositories of available open source code to generate specific functions or classes that meet a user's specifications. The key words here are specifications and generate. We let users specify what they are looking for as precisely as possible using keywords, class or method signatures, test cases, contracts, and security constraints. Our system then uses an open set of program transformations to map retrieved code into what the user asked for. This approach is implemented in a prototype system for Java with a web interface.

A Gesture Based Interface for Human-Robot Interaction

Abstract: Service robotics is currently a highly active research area in robotics, with enormous societal potential. Since service robots directly interact with people, finding “natural” and easy-to-use user interfaces is of fundamental importance. While past work has predominately focussed on issues such as navigation and manipulation, relatively few robotic systems are equipped with flexible user interfaces that permit controlling the robot by “natural” means. This paper describes a gesture interface for the control of a mobile robot equipped with a manipulator. The interface uses a camera to track a person and recognize gestures involving arm motion. A fast, adaptive tracking algorithm enables the robot to track and follow a person reliably through office environments with changing lighting conditions. Two alternative methods for gesture recognition are compared: a template based approach and a neural network approach. Both are combined with the Viterbi algorithm for the recognition of gestures defined through arm motion (in addition to static arm poses). Results are reported in the context of an interactive clean-up task, where a person guides the robot to specific locations that need to be cleaned and instructs the robot to pick up trash.