Kaye Alvarez

Kaye Alvarez
  • Master of Industrial & Organizational Psychology
  • University of Central Florida

About

7
Publications
12,511
Reads
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1,296
Citations
Current institution
University of Central Florida

Publications

Publications (7)
Article
A number of theorists and researchers have distinguished between the constructs of task performance (i.e., non-discretionary work behaviors) and contextual performance (CP), as well as the related constructs of organizational citizenship behavior, prosocial behavior, and extra-role behavior. In addition, measures of CP have been used in a large num...
Article
Full-text available
A decade of training evaluation and training effectiveness research was reviewed to construct an integrated model of training evaluation and effectiveness. This model integrates four prior evaluation models and results of 10 years of training effectiveness research. It is the first to be constructed using a set of strict criteria and to investigate...
Article
Full-text available
In this article we describe a new approach to enhance presence technologies. First, we discuss the strong relationship between cognitive processes and emotions and how human physiology is uniquely affected when experiencing each emotion. Secondly, we introduce our prototype multimodal affective user interface. In the remainder of the paper we descr...
Article
In this article we describe a new approach to enhance presence technologies. First, we discuss the strong relationship between cognitive processes and emotions and how human physiology is uniquely affected when experiencing each emotion. Secondly, we introduce our prototype multimodal affective user interface. In the remainder of the paper we descr...
Article
Full-text available
Accounting for a patient's emotional state is integral in medical care. Tele-health research attests to the challenge clinicians must overcome in assessing patient emotional state when modalities are limited (J. Adv. Nurs. 36(5) 668). The extra effort involved in addressing this challenge requires attention, skill, and time. Large caseloads may not...
Article
Full-text available
In this paper, we describe algorithms developed to analyze physiological signals associated with emotions, in order to recognize the affective states of users via non-invasive technologies. We propose a framework for modeling user's emotions from the sensory inputs and interpretations of our multi-modal system. We also describe examples of circumst...

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