Designing Model-Based Intelligent Dialogue Systems

2011 ◽  
pp. 268-284 ◽  
Author(s):  
Dina Goren-Bar
Keyword(s):  
Conceptual Model ◽  
User Interfaces ◽  
Intelligent Systems ◽  
User Model ◽  
Interactive System ◽  
Intelligent User Interfaces ◽  
Intelligent User Interface ◽  
Discourse Model ◽  
Domain Specific Knowledge ◽  
And Behavior

Intelligent Systems are served by Intelligent User Interfaces aimed to improve the efficiency, effectiveness and adaptation of the interaction between the user and the computer by representing, understanding and implementing models. The Intelligent User Interface Model (IUIM) helps to design and develop Intelligent Systems considering its architecture and its behavior. It focuses the Interaction and Dialogue between User and System at the heart of an Intelligent Interactive System. An architectural model, which defines the components of the model, and a conceptual model, which relates to its contents and behavior compose the IUIM. The conceptual model defines three elements: an Adaptive User Model (including components for building and updating the user model), a Task Model (including general and domain specific knowledge) and an Adaptive Discourse Model (to be assisted by an intelligent help and a learning module). We will show the implementation of the model by describing an application named Stigma - A STereotypical Intelligent General Matching Agent for Improving Search Results on the Internet. Finally, we compared the new model with others, stating the differences and the advantages of the proposed model.

Investigating a Virtual Reality-based Emergency Response Scenario and Intelligent User Interface for First Responders

2020 ◽  
Vol 64 (1) ◽  
pp. 2114-2118
Author(s):  
Randall Spain ◽  
Jason Saville ◽  
Barry Lui ◽  
Donia Slack ◽  
Edward Hill ◽  
...  
Keyword(s):  
Virtual Reality ◽  
User Interface ◽  
Emergency Response ◽  
User Interfaces ◽  
Mental Workload ◽  
First Responders ◽  
Lessons Learned ◽  
Future Research ◽  
Intelligent User Interfaces ◽  
Intelligent User Interface

Because advances in broadband capabilities will soon allow first responders to access and use many forms of data when responding to emergencies, it is becoming critically important to design heads-up displays to present first responders with information in a manner that does not induce extraneous mental workload or cause undue interaction errors. Virtual reality offers a unique medium for envisioning and testing user interface concepts in a realistic and controlled environment. In this paper, we describe a virtual reality-based emergency response scenario that was designed to support user experience research for evaluating the efficacy of intelligent user interfaces for firefighters. We describe the results of a usability test that captured firefighters’ feedback and reactions to the VR scenario and the prototype intelligent user interface that presented them with task critical information through the VR headset. The paper concludes with lessons learned from our development process and a discussion of plans for future research.

scholarly journals Ontology Application to Construct Inductive Modeling Tools with Intelligent Interface

2020 ◽  
pp. 44-55
Author(s):  
Halyna A. Pidnebesna ◽  
◽  
Andrii V. Pavlov ◽  
Volodymyr S. Stepashko ◽  
◽  
...  
Keyword(s):  
User Interface ◽  
Detailed Analysis ◽  
User Interfaces ◽  
Knowledge Structures ◽  
Modeling Tools ◽  
Intelligent User Interfaces ◽  
Intelligent User Interface ◽  
Intelligent Interface ◽  
Ontology Application ◽  
Analysis Of Knowledge

This paper is devoted to the analysis of sources in the field of development and building intelligent user interfaces. Particular attention is paid to presenting an ontology-based approach to constructing the architecture of the interface, the tasks arising during the development, and ways for solving them. An example of the construction of the intelligent user interface is given for software tools of inductive modeling based on the detailed analysis of knowledge structures in this domain.

Human–robot interaction via voice-controllable intelligent user interface

Robotica ◽  
2007 ◽  
Vol 25 (5) ◽  
pp. 521-527 ◽  
Author(s):  
Harsha Medicherla ◽  
Ali Sekmen
Keyword(s):  
User Interface ◽  
User Interfaces ◽  
Spatial Reasoning ◽  
User Preferences ◽  
Human Robot Interaction ◽  
Manual Control ◽  
Reasoning Ability ◽  
Robot Interaction ◽  
Intelligent User Interface ◽  
Voice Control

SUMMARYAn understanding of how humans and robots can successfully interact to accomplish specific tasks is crucial in creating more sophisticated robots that may eventually become an integral part of human societies. A social robot needs to be able to learn the preferences and capabilities of the people with whom it interacts so that it can adapt its behaviors for more efficient and friendly interaction. Advances in human– computer interaction technologies have been widely used in improving human–robot interaction (HRI). It is now possible to interact with robots via natural communication means such as speech. In this paper, an innovative approach for HRI via voice-controllable intelligent user interfaces is described. The design and implementation of such interfaces are described. The traditional approaches for human–robot user interface design are explained and the advantages of the proposed approach are presented. The designed intelligent user interface, which learns user preferences and capabilities in time, can be controlled with voice. The system was successfully implemented and tested on a Pioneer 3-AT mobile robot. 20 participants, who were assessed on spatial reasoning ability, directed the robot in spatial navigation tasks to evaluate the effectiveness of the voice control in HRI. Time to complete the task, number of steps, and errors were collected. Results indicated that spatial reasoning ability and voice-control were reliable predictors of efficiency of robot teleoperation. 75% of the subjects with high spatial reasoning ability preferred using voice-control over manual control. The effect of spatial reasoning ability in teleoperation with voice-control was lower compared to that of manual control.

It’s just not fair: exploring the effects of firm customization on unfairness perceptions, trust and loyalty

2014 ◽  
Vol 28 (6) ◽  
pp. 484-497 ◽  
Author(s):  
Bang Nguyen ◽  
Philipp “Phil” Klaus ◽  
Lyndon Simkin
Keyword(s):  
Conceptual Model ◽  
Customer Loyalty ◽  
Linear Regression Analysis ◽  
Perceived Fairness ◽  
Content Type ◽  
Negative Perceptions ◽  
Loyalty Intentions ◽  
And Behavior ◽  
Development And Validation

Purpose – The purpose of this study is to (a) develop a conceptual framework exploring the relationships between perceived negative firm customization, unfairness perceptions, and customer loyalty intentions, and (b) investigate the moderating effects of trust in these relationships. The study explores how customizing offers to match customers’ individual needs and how treating customers differentially provoke unfairness perceptions among those not being considered most important. While the literature discusses unfairness perceptions of pricing, promotion, and service, less is known about unfairness in customization practices. Design/methodology/approach – Using a survey approach, 443 completed questionnaires we collected. Following validation of our item measures, a hierarchical linear regression analysis was conducted to test the conceptual model and hypothesized linkages between our constructs. Findings – The results demonstrate that customers’ negative perceptions of customization increase their unfairness perceptions. Unfairness perceptions drastically reduce customer loyalty intentions with trust acting as a significant moderator. Trust increases loyalty intentions even when unfairness perceptions are present. Our findings provide a foundation for understanding how firms may improve their perceived fairness. This increase in perceived fairness creates positive attributions, reduces negative customer experience perceptions and increases loyalty intentions. Originality/value – Key contribution is the development and validation of a conceptual model explaining the linkages between firm customization and unfairness perceptions, firm customization and customer loyalty intentions and the moderating role of trust between these relationships. This study extends the understanding of how customization practices impact unfairness perceptions and, subsequently, influence consumers’ perceptions, intentions and behavior.

When actions have consequences: empirically based decision making for intelligent user interfaces

2001 ◽  
Vol 14 (1-2) ◽  
pp. 75-92 ◽  
Author(s):  
A Jameson ◽  
B Großmann-Hutter ◽  
L March ◽  
R Rummer ◽  
T Bohnenberger ◽  
...  
Keyword(s):  
Decision Making ◽  
User Interfaces ◽  
Intelligent User Interfaces
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