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Full-Text Articles in Psychology
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 …
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 …
Comparative Examination Of The Empatica E4 To Record Heart Rate Variability Metrics, Andres Rosero
Comparative Examination Of The Empatica E4 To Record Heart Rate Variability Metrics, Andres Rosero
Honors Undergraduate Theses
The increased accessibility of cyber technology has resulted in advancements in international communications and information sharing never seen in human history. With this new age of digital software comes the proliferation of illegal online activity and cyber terrorism. Repercussions of cyber-attacks have ranged from identity theft to leaks of classified state secrets. To combat this threat, the Department of Defense (DoD) established the Cyber Mission Force (CMF) to head operations in the interests of protecting against cyber-attacks. One of the CMF’s initial projects involves the creation of a Performance Assessment Suite (PAS), a training program designed to improve the training …
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 …
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, …