Topic
Intelligent user interface
About: Intelligent user interface is a research topic. Over the lifetime, 377 publications have been published within this topic receiving 7023 citations. The topic is also known as: intelligent UI & IUI.
Papers published on a yearly basis
Papers
Proceedings Article•
24 Jul 1998
TL;DR: The Lumiere Project as discussed by the authors harnesses probability and utility to provide assistance to computer software users by considering a user's background, actions, and queries, and develops persistent profiles to capture changes in user's expertise.
Abstract: The Lumiere Project centers on harnessing probability and utility to provide assistance to computer software users. We review work on Bayesian user models that can be employed to infer a user's needs by considering a user's background, actions, and queries. Several problems were tackled in Lumiere research, including (1) the construction of Bayesian models for reasoning about the time-varying goals of computer users from their observed actions and queries, (2) gaining access to a stream of events from software applications, (3) developing a language for transforming system events into observational variables represented in Bayesian user models, (4) developing persistent profiles to capture changes in a user's expertise, and (5) the development of an overall architecture for an intelligent user interface. Lumiere prototypes served as the basis for the Ofice Assistant in the Microsoft Office '97 suite of productivity applications.
734 citations
Patent•
2 Jul 1997TL;DR: In this article, an intelligent user interface system monitors user interaction with a software application and applies probabilistic reasoning to sense that the user may need assistance in using a particular feature or to accomplish a specific task.
Abstract: A general event composing and monitoring system that allows high-level events to be created from combinations of low-level events. An event specification tool allows for rapid development of a general event processor that creates high-level events from combinations of user actions. The event system, in combination with a reasoning system, is able to monitor and perform inference about several classes of events for a variety of purposes. The various classes of events include the current context, the state of key data structures in a program, general sequences of user inputs, including actions with a mouse-controlled cursor while interacting with a graphical user interface, words typed in free-text queries for assistance, visual information about users, such as gaze and gesture information, and speech information. Additionally, a method is provided for building an intelligent user interface system by constructing a reasoning model to compute the probability of alternative user's intentions, goals, or informational needs through analysis of information about a user's actions, program state, and words. The intelligent user interface system monitors user interaction with a software application and applies probabilistic reasoning to sense that the user may need assistance in using a particular feature or to accomplish a specific task. The intelligent user interface also accepts a free-text query from the user asking for help and combines the inference analysis of user actions and program state with an inference analysis of the free-text query. The inference system accesses a rich, updatable user profile system to continually check for competencies and changes assistance that is given based on user competence.
668 citations
TL;DR: A better understanding of the possible ways the interface can utilise intelligence to improve the interaction is needed and better tools that will enable an intelligent system to survive the full life cycle of a system.
365 citations
1 May 1991
128 citations
18 Mar 2015
TL;DR: Rhema, an intelligent user interface for Google Glass to help people with public speaking that automatically detects the speaker's volume and speaking rate in real time and provides feedback during the actual delivery of speech.
Abstract: A large number of people rate public speaking as their top fear. What if these individuals were given an intelligent interface that provides live feedback on their speaking skills? In this paper, we present Rhema, an intelligent user interface for Google Glass to help people with public speaking. The interface automatically detects the speaker's volume and speaking rate in real time and provides feedback during the actual delivery of speech. While designing the interface, we experimented with two different strategies of information delivery: 1) Continuous streams of information, and 2) Sparse delivery of recommendation. We evaluated our interface with 30 native English speakers. Each participant presented three speeches (avg. duration 3 minutes) with 2 different feedback strategies (continuous, sparse) and a baseline (no feeback) in a random order. The participants were significantly more pleased (p
125 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 10 |
| 2020 | 12 |
| 2019 | 20 |
| 2018 | 9 |
| 2017 | 12 |
| 2016 | 8 |