Mitigating effects of working memory constraints on automation use through interface redesign

<p> This dissertation investigated the role of individual differences in human use of automation in a simulated command and control task. Using this knowledge we then sought to redesign the simulation interface to improve human-automation interaction. In the first study, participants completed...

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Main Author: Saqer, Haneen Rezik
Language:EN
Published: George Mason University 2015
Subjects:
Online Access:http://pqdtopen.proquest.com/#viewpdf?dispub=3720807
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spelling ndltd-PROQUEST-oai-pqdtoai.proquest.com-37208072015-10-29T04:01:59Z Mitigating effects of working memory constraints on automation use through interface redesign Saqer, Haneen Rezik Cognitive psychology <p> This dissertation investigated the role of individual differences in human use of automation in a simulated command and control task. Using this knowledge we then sought to redesign the simulation interface to improve human-automation interaction. In the first study, participants completed a battery of cognitive tasks to measure working memory capacity, simple memory span, and controlled attention ability. They then performed a simulated air defense task under varying levels of workload and automation assistance. Eye tracking data recorded fixations to capture eye movements during completion of each scenario. Although individual difference measures correlated with primary task performance, they did not predict use of automation. Only average percent of fixations on the automation messaging interface correlated with automation use. Therefore, the second study introduced a redesigned automation interface with the integration of an auditory chime and a visual flicker to promote additional fixations to the message interface and encourage increased automation use. However, this redesign did not increase average fixation percentage and surprisingly resulted in lower use of automation. This finding emphasized Parasuraman and Riley&rsquo;s (1997) warning that automation can change user behavior in unintended ways. Another notable finding from the study is the unexpected result that short term memory predicted primary task performance. Further, this study provides evidence to support the use of eye tracking measures as a continuous unobtrusive measure of automation use in complex systems. Limitations and future research are also discussed.</p> George Mason University 2015-10-27 00:00:00.0 thesis http://pqdtopen.proquest.com/#viewpdf?dispub=3720807 EN
collection NDLTD
language EN
sources NDLTD
topic Cognitive psychology
spellingShingle Cognitive psychology
Saqer, Haneen Rezik
Mitigating effects of working memory constraints on automation use through interface redesign
description <p> This dissertation investigated the role of individual differences in human use of automation in a simulated command and control task. Using this knowledge we then sought to redesign the simulation interface to improve human-automation interaction. In the first study, participants completed a battery of cognitive tasks to measure working memory capacity, simple memory span, and controlled attention ability. They then performed a simulated air defense task under varying levels of workload and automation assistance. Eye tracking data recorded fixations to capture eye movements during completion of each scenario. Although individual difference measures correlated with primary task performance, they did not predict use of automation. Only average percent of fixations on the automation messaging interface correlated with automation use. Therefore, the second study introduced a redesigned automation interface with the integration of an auditory chime and a visual flicker to promote additional fixations to the message interface and encourage increased automation use. However, this redesign did not increase average fixation percentage and surprisingly resulted in lower use of automation. This finding emphasized Parasuraman and Riley&rsquo;s (1997) warning that automation can change user behavior in unintended ways. Another notable finding from the study is the unexpected result that short term memory predicted primary task performance. Further, this study provides evidence to support the use of eye tracking measures as a continuous unobtrusive measure of automation use in complex systems. Limitations and future research are also discussed.</p>
author Saqer, Haneen Rezik
author_facet Saqer, Haneen Rezik
author_sort Saqer, Haneen Rezik
title Mitigating effects of working memory constraints on automation use through interface redesign
title_short Mitigating effects of working memory constraints on automation use through interface redesign
title_full Mitigating effects of working memory constraints on automation use through interface redesign
title_fullStr Mitigating effects of working memory constraints on automation use through interface redesign
title_full_unstemmed Mitigating effects of working memory constraints on automation use through interface redesign
title_sort mitigating effects of working memory constraints on automation use through interface redesign
publisher George Mason University
publishDate 2015
url http://pqdtopen.proquest.com/#viewpdf?dispub=3720807
work_keys_str_mv AT saqerhaneenrezik mitigatingeffectsofworkingmemoryconstraintsonautomationusethroughinterfaceredesign
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