Understanding human decision making with automation using Systems Factorial Technology

Understanding human decision making with automation using Systems Factorial Technology

Bibliographic Details
Main Author: Kneeland, Cara M.
Language:English
Published: Wright State University / OhioLINK 2021
Subjects:
Psychology
Cognitive Psychology
Decision Making
Human-Automation Interaction
Systems Factorial Technology
Cognitive Modeling
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=wright1629457229414758
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-wright16294572294147582021-08-21T05:13:27Z Understanding human decision making with automation using Systems Factorial Technology Kneeland, Cara M. Psychology Cognitive Psychology Decision Making Human-Automation Interaction Systems Factorial Technology Cognitive Modeling While many researchers have investigated the performance consequences of automated recommender systems, little research that has explored how these systems impact the de- cision making process. The purpose of this dissertation is to examine how people process information from an automated recommender system and raw information from the en- vironment using Systems Factorial Technology (SFT). Participants completed a speeded length judgment task with a reliable but imperfect aid. Experiment 1 focused on whether people process all the available information or are selective in their information search under certain circumstances (e.g., with performance incentives and with more experience with automation failures in training). Results indicate that participants likely use only one source of information, alternating between the automated aid and the environmental infor- mation. Additionally, performance incentives and less experience with automation failures can lead to slower but not necessarily more accurate performance with an automated aid. Experiment 2 focused on whether display design (e.g, proximity of information and density of information) can encourage serial or parallel processing of information. Unsurprisingly, the results indicate that integrating information on the display allows participants to process information more efficiently. Implications of this research not only sheds light on how peo- ple gather and process information with an automation aid but also how we might design systems to improve decision performance. 2021-08-20 English text Wright State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=wright1629457229414758 http://rave.ohiolink.edu/etdc/view?acc_num=wright1629457229414758 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Psychology
Cognitive Psychology
Decision Making
Human-Automation Interaction
Systems Factorial Technology
Cognitive Modeling
spellingShingle Psychology
Cognitive Psychology
Decision Making
Human-Automation Interaction
Systems Factorial Technology
Cognitive Modeling
Kneeland, Cara M.
Understanding human decision making with automation using Systems Factorial Technology
author Kneeland, Cara M.
author_facet Kneeland, Cara M.
author_sort Kneeland, Cara M.
title Understanding human decision making with automation using Systems Factorial Technology
title_short Understanding human decision making with automation using Systems Factorial Technology
title_full Understanding human decision making with automation using Systems Factorial Technology
title_fullStr Understanding human decision making with automation using Systems Factorial Technology
title_full_unstemmed Understanding human decision making with automation using Systems Factorial Technology
title_sort understanding human decision making with automation using systems factorial technology
publisher Wright State University / OhioLINK
publishDate 2021
url http://rave.ohiolink.edu/etdc/view?acc_num=wright1629457229414758
work_keys_str_mv AT kneelandcaram understandinghumandecisionmakingwithautomationusingsystemsfactorialtechnology
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