No abstract
Diminished vigilance caused by fatigue, stress, and excessive mental load have been cited as a major cause for most aviation accidents. The job of an Air Traffic Controller (ATC) includes helping pilots maintain safe distances between planes, avoid all obstacles, as well as safe landing and takeoff. Unfortunately, the ATC work environment along with extended hours and overtime consistently results in widespread fatigued Air Traffic Controllers. Similarly, distracted, and fatigued drivers are also the cause of an increasing number of traffic related accidents and deaths. Dynamic working conditions along with the user's physical and emotional state have significant impact upon the usability and security of the system. In order to address this problem we present a Cognitive and Context-Aware Framework (CCF) that determines user's affective state, cognitive load, and context information.This enables applications to make real-time decisions to improve usability, security, or simply enhance user experience. The CCF framework constantly captures and analyzes user's biometric data (e.g. pupillometric indices of cognitive load), environmental analysis, location and time. The CCF can be used to develop a variety of applications that want to make decisions based upon user's current affective states and context. The application's decisions can be as simple as alerting a supervisor in the event an ATC is found to be fatigued/sleepy or disable critical functionality. The CCF also has applications in the gaming industry, healthcare, and advertisement. In this paper, we present the overview of the framework along with a dynamically adaptable user interface as an example of CCF application.
This paper presents a methodol ogy for performing database system simulations which is based on the Wisconsin Bench- marks. Use of this approach provides very realistic represen tations for transactions, hard ware, and software aspects of a target database environment. The flexibility built into the approach also facilitates exami nation of many different database environments with few changes to the basic model. The method described equips researchers with the first standard simulation approach which can be used on any database system. We describe the approach, its implementation using SLAM II, and then provide an overview of its use.
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