Open Access. Powered by Scholars. Published by Universities.®

Psychology Commons

Open Access. Powered by Scholars. Published by Universities.®

Applied Behavior Analysis

Theses/Dissertations

2020

Attention

Articles 1 - 2 of 2

Full-Text Articles in Psychology

Evaluating The Diverted Attention Condition In A Trial-Based Functional Analysis, Kyle Frank Apr 2020

Evaluating The Diverted Attention Condition In A Trial-Based Functional Analysis, Kyle Frank

Thesis Projects

The diverted attention condition of a functional analysis is similar to the standard attention condition; however, instead of the therapist engaging in another task and ignoring the participant, the therapist provides attention to a confederate while diverting attention away from the participant. Contingent upon the occurrence of problem behavior, attention is diverted back to the participant. This study evaluated the diverted attention condition using a trial-based functional analysis format. Results of the standard functional analysis for both subjects were undifferentiated, whereas results of the trial-based functional analysis showed an attention function for one subject through the use of a diverted …


Effects Of Transparency And Haze On Trust And Performance During A Full Motion Video Analysis Task, Sarah C. Leibner Apr 2020

Effects Of Transparency And Haze On Trust And Performance During A Full Motion Video Analysis Task, Sarah C. Leibner

Psychology Theses & Dissertations

Automation is pervasive across all task domains, but its adoption poses unique challenges within the intelligence, surveillance, and reconnaissance (ISR) domain. When users are unable to establish optimal levels of trust in the automation, task accuracy, speed, and automation usage suffer (Chung & Wark, 2016). Degraded visual environments (DVEs) are a particular problem in ISR; however, their specific effects on trust and task performance are still open to investigation (Narayanaswami, Gandhe, & Mehra, 2010). Research suggests that transparency of automation is necessary for users to accurately calibrate trust levels (Lyons et al., 2017). Chen et al. (2014) proposed three levels …