Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 12 of 12
Full-Text Articles in Social and Behavioral Sciences
Neural Dynamics Of Categorical Representations Used For Visual Search, Ashley Phelps
Neural Dynamics Of Categorical Representations Used For Visual Search, Ashley Phelps
Electronic Theses and Dissertations, 2020-
Decades of visual attention research have predominantly used pictorial search paradigms that cue participants with the exact perceptual details of the target. However, in everyday life, people often search for categories rather than specific items (i.e., any pen rather than a specific pen). To study visual attention in a more realistic context, researchers can use categorical search paradigms that cue participants with text indicating the target category. In these instances, one must rely on long-term memory to retrieve categorical features of the target. Both experiments in this study were a reanalysis of experiments previously designed and collected by Schmidt and …
Locating The Attentional Template Using Theta-Gamma Coupling, Michael Miuccio
Locating The Attentional Template Using Theta-Gamma Coupling, Michael Miuccio
Electronic Theses and Dissertations, 2020-
A significant amount of research has investigated the underlying neural mechanisms that enable the direction of attention throughout a search array. The biased competition model (Desimone & Duncan, 1995) proposes that an attentional template (the neural instantiation of the search target) is created when the target representation in visual working memory (VWM) is communicated to frontal regions which then bias early visual areas to attend to target features. Despite this, much of the current work focuses solely on the target representation in VWM, which is only one small part of the attentional template according to biased competition. Thus, I used …
Predictors Of Technology Use Among Older Adults: Evidence Ranging From Non-Users To Elite Users, Xiaoqing Wan
Predictors Of Technology Use Among Older Adults: Evidence Ranging From Non-Users To Elite Users, Xiaoqing Wan
Electronic Theses and Dissertations, 2020-
Older adults tend to under-utilize digital technology and online services that can yield substantial benefits to their health and wellbeing. Addressing this problem requires determining robust and consistent predictors of older adults' technology use. Also, few studies have examined older adults who are elite users of digital technology, who may provide insights into how individuals can prepare to become competent users of future technologies as they age. To address these gaps in the technology and aging literature, this dissertation offers (1) large-scale machine learning analyses, (2) longitudinal perspectives, (3) age group comparisons across the adult life span, (4) the novel …
Automation, Take The Wheel: An Examination Of Factors Influencing Trust In Automated Driver Assist Technologies, James Ferraro
Automation, Take The Wheel: An Examination Of Factors Influencing Trust In Automated Driver Assist Technologies, James Ferraro
Electronic Theses and Dissertations, 2020-
Driving technology has progressed significantly since the introduction of anti-lock braking and cruise control decades ago. Current driver assist features can alert drivers of oncoming vehicles and even take control to keep the vehicle centered within its lane. The level of trust that people place in automation can impact how they monitor and accept these automated systems. Previous research has shown several performance outcomes associated with improper calibrations of trust in automation. However, there is still a need to examine trust in the context of advanced driving technologies. Research has yet to sufficiently investigate factors influencing trust in assistive driving …
Investigation Of Realism In Facial Characteristics And Anthropomorphic Language In The Design Of Multimedia Instruction, Ecem Olcum
Electronic Theses and Dissertations, 2020-
Emotional design elements have recently been added to the research in cognitive load and multimedia learning (Um et al., 2012). One aspect of eliciting positive emotions is to use anthropomorphic design, which has been found to increase learning performance (Um et al., 2012; Plass et al., 2014; Park et al., 2015; Schneider et al., 2018). The current research aimed to investigate three design factors in three studies: anthropomorphism in verbal and visual design, single-frame or multi-frame illustrations, and realism of the anthropomorphic visual design. The first study confirmed that the anthropomorphic verbal and visual materials were perceived as anthropomorphic by …
Gamification Of Sleep Hygiene Education For Insomnia: An Examination Of Its Efficacy And The Role Of Individual Differences, Christine Seaver
Gamification Of Sleep Hygiene Education For Insomnia: An Examination Of Its Efficacy And The Role Of Individual Differences, Christine Seaver
Electronic Theses and Dissertations, 2020-
Insomnia is a sleep disorder which is classified by one's persistent inability to fall asleep or maintain sleep. One common yet controversial approach to treating insomnia is sleep hygiene education (SHE). Sleep hygiene is defined as behaviors that promote quality sleep. SHE is typically provided through as a paper sheet containing a list of recommendations, and the findings regarding its efficacy are mixed. Providing insomnia sufferers with a SHE treatment modality that offers practice, feedback, and motivation may be effective at treating insomnia. Therefore, the first goal of the present study is to examine the efficacy of a game-based SHE …
Modeling The Relationship Between Perceptual And Stimulus Space In Category Learning, Clay Killingsworth
Modeling The Relationship Between Perceptual And Stimulus Space In Category Learning, Clay Killingsworth
Electronic Theses and Dissertations, 2020-
Learning to categorize visual stimuli is a fundamental cognitive skill underlying both everyday functioning and professional competencies in domains such as radiology and airport security screening. Categories may be very simple or highly complex, with accurate categorization dependent on multiple interacting features. General recognition theory (GRT) models uniquely allow examination of feature dimension interactions, but basic questions remain about the applicability of such models and the 2x2 categorization tasks (four-alternative forced choice) employed in studies which use them. Findings in several studies that factorially combine 2 levels of 2 stimulus dimensions indicate a common pattern of perceptual advantage for the …
Determining And Assessing Fault Attribution In Collisions Involving Autonomous Vehicles, Alexandra Kaplan
Determining And Assessing Fault Attribution In Collisions Involving Autonomous Vehicles, Alexandra Kaplan
Electronic Theses and Dissertations, 2020-
There exists considerable research concerning how humans attribute fault to each other, both in cases of accidents and those instances of intentional harm. There also exist studies involving blame attribution towards robots, when such robots have caused harm through operational failure or lack of safety features. However, relatively little work has, to date, examined the ways in which fault is attributed to self-driving vehicles involved in collisions, despite many newspaper and popular articles which both report past incidents and warn of future risk. This dissertation examined fault attribution in collisions involving autonomous vehicles by conducting three separate experiments. The first …
Comparing Human And Machine Learning Classification Of Human Factors In Incident Reports From Aviation, Claas Tido Boesser
Comparing Human And Machine Learning Classification Of Human Factors In Incident Reports From Aviation, Claas Tido Boesser
Electronic Theses and Dissertations, 2020-
Incident reporting systems are an integral part of any organization seeking to increase the safety of their operation by gathering data on past events, which can then be used to identify ways of mitigating similar events in the future. In order to analyze trends and common issues with regards to the human element in the system, reports are often classified according to a human factors taxonomy. Lately, machine learning algorithms have become popular tools for automated classification of text; however, performance of such algorithms varies and is dependent on several factors. In supervised machine learning tasks such as text classification, …
Does One Bad Phish Spoil The Whole Email Load?: Exploring Phishing Susceptibility Task Factors And Potential Interventions, Dawn Sarno
Electronic Theses and Dissertations, 2020-
Phishing emails have become a prevalent cybersecurity threat for the modern email user. Research attempting to understand how users are susceptible to phishing attacks has been limited and hasn't fully explored how task factors influence accurate detection. Even further lacking are the existing training interventions that still have users falling victim to up to 90% of phishing emails following training. The present studies examined how task factors (e.g., email load, phishing prevalence) and a new form of intervention, rather than training, influence email performance. In four experiments, participants classified emails as either legitimate or not legitimate and reported on a …
The Effects Of Social Conformity In Human-Robot Interaction, William Volante
The Effects Of Social Conformity In Human-Robot Interaction, William Volante
Electronic Theses and Dissertations, 2020-
While previous work has investigated aspects of the robot, the human, and the environment as influential factors in the human-robot relationship, little work has examined the role of social conformity in this relationship. As social conformity has been shown to affect human-human choice, relationships, and trust, there are a-priori reasons to believe that it will play an influential role in human-robot interaction (HRI) scenarios as well. Early research into the influence of social conformity in human-robot interaction (HRI) did not find the effect to be present with robots, however more recent work has adapted the methodological paradigm to find more …
Neurophysiological Correlates Of Trust In Robots, Theresa Kessler
Neurophysiological Correlates Of Trust In Robots, Theresa Kessler
Electronic Theses and Dissertations, 2020-
This work is designed to address the questions as to what drives and collapses trust between a human and a robot. Such information is needed to properly design automated decision aids. Human-robot trust (HRT) has traditionally been measured by questionnaires, which can be subject to lack of participant understanding, disengagement, and dishonesty. Therefore, implicit measures of trust are needed to measure HRT. The goal here is to identify neuro-physiological underpinnings (implicit measures) for HRT to assist designers in the development of automated robotic aids. More specifically, experiment one, looked to determine the effects of witnessing robot error on skin conductance …