Matching Items (9)
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- All Subjects: Cognitive Psychology
- Creators: Roscoe, Rod
Description
The American Heart Association (AHA) estimates that there are approximately 200,000 in-hospital cardiac arrests (IHCA) annually with low rates of survival to discharge at about 22%. Training programs for cardiac arrest teams, also termed code teams, have been recommended by the Institute of Medicine (IOM) and in the AHA's consensus statement to help improve these dismal survival rates. Historically, training programs in the medical field are procedural in nature and done at the individual level, despite the fact that healthcare providers frequently work in teams. The rigidity of procedural training can cause habituation and lead to poor team performance if the situation does not match the original training circumstances. Despite the need for team training, factors such as logistics, time, personnel coordination, and financial constraints often hinder resuscitation team training. This research was a three-step process of: 1) development of a metric specific for the evaluation of code team performance, 2) development of a communication model that targeted communication and leadership during a code blue resuscitation, and 3) training and evaluation of the code team leader using the communication model. This research forms a basis to accomplish a broad vision of improving outcomes of IHCA events by applying conceptual and methodological strategies learned from collaborative and inter-disciplinary science of teams.
ContributorsHinski, Sandra T. (Author) / Cooke, Nancy J. (Thesis advisor) / Roscoe, Rod (Committee member) / Bekki, Jennifer (Committee member) / Arizona State University (Publisher)
Created2017
Description
The current study investigated the task of coloring static images with multimedia learning to determine the impact on retention and transfer scores. After watching a multimedia video on the formation of lightning participants were assigned to either a passive, active, or constructive condition based on the ICAP Framework. Participants colored static images on key concepts from the video, passive condition observed the images, active condition colored the images by applying the concepts, and the constructive condition colored the images by generating new ideas and concepts. The study did not support the hypothesis that the constructive condition would have increased retention and transfer scores over the active and passive conditions. The mental effort measures did not show significance among groups in relation to learning but perception measures did show an increase in participants enjoyment and engagement. Since the coloring craze has become more accepted for adults then could coloring be a way to increase participants learning through engagement.
ContributorsWilliams, Jennifer S (Author) / Craig, Scotty D. (Thesis advisor) / Roscoe, Rod (Committee member) / Branaghan, Russell (Committee member) / Arizona State University (Publisher)
Created2018
Description
This research evaluates a cyber test-bed, DEXTAR (Defense Exercises for Team Awareness Research), and examines the relationship between good and bad team performance in increasingly difficult scenarios. Twenty-one computer science graduate students (seven three-person teams), with experience in cybersecurity, participated in a team-based cyber defense exercise in the context of DEXTAR, a high fidelity cybersecurity testbed. Performance measures were analyzed in addition to team process, team behavior, and workload to examine the relationship between good and bad teams. Lessons learned are reported that will inform the next generation of DEXTAR.
ContributorsBradbury, Aaron (Author) / Cooke, Nancy J. (Thesis advisor) / Branaghan, Russell (Committee member) / Roscoe, Rod (Committee member) / Arizona State University (Publisher)
Created2016
Description
While various collision warning studies in driving have been conducted, only a handful of studies have investigated the effectiveness of warnings with a distracted driver. Across four experiments, the present study aimed to understand the apparent gap in the literature of distracted drivers and warning effectiveness, specifically by studying various warnings presented to drivers while they were operating a smart phone. Experiment One attempted to understand which smart phone tasks, (text vs image) or (self-paced vs other-paced) are the most distracting to a driver. Experiment Two compared the effectiveness of different smartphone based applications (app’s) for mitigating driver distraction. Experiment Three investigated the effects of informative auditory and tactile warnings which were designed to convey directional information to a distracted driver (moving towards or away). Lastly, Experiment Four extended the research into the area of autonomous driving by investigating the effectiveness of different auditory take-over request signals. Novel to both Experiment Three and Four was that the warnings were delivered from the source of the distraction (i.e., by either the sound triggered at the smart phone location or through a vibration given on the wrist of the hand holding the smart phone). This warning placement was an attempt to break the driver’s attentional focus on their smart phone and understand how to best re-orient the driver in order to improve the driver’s situational awareness (SA). The overall goal was to explore these novel methods of improved SA so drivers may more quickly and appropriately respond to a critical event.
ContributorsMcNabb, Jaimie Christine (Author) / Gray, Dr. Rob (Thesis advisor) / Branaghan, Dr. Russell (Committee member) / Becker, Dr. Vaughn (Committee member) / Arizona State University (Publisher)
Created2017
Description
Web-based learning resources have been criticized as being developed with minimal consideration as to the effectiveness of the design principles or guidelines used to create them. Extraneous material is oftentimes present and necessary for learners to engage in effective learning with multimedia learning material. Signaling learners towards important information between images and corresponding text has been shown to be an effective method for providing learners a way to quickly find information between the two parts of the learning material. However, not all signaling methods are equally effective in all applications. This study investigates a novel signaling method, using spatial isolation of text, as a way to signal learners in a web-based format compared to a traditional highlighting method and a non-signaled control group. Improved learning performance was observed for knowledge retention using text isolation as the signaling method, but no other significant effects were observed between the other conditions. Additionally, transfer of knowledge across all conditions showed no significant differences either. While minimal support for the effectiveness of isolated text signaling was demonstrated, the statistical means trend across all post-test knowledge assessments suggest that further evaluation of the novel signaling method is justified.
ContributorsChin, Joshua (Author) / Craig, Scotty D. (Thesis advisor) / Branaghan, Russell (Committee member) / Roscoe, Rod (Committee member) / Arizona State University (Publisher)
Created2017
Description
Cyber operations are a complex sociotechnical system where humans and computers are operating in an environments in constant flux, as new technology and procedures are applied. Once inside the network, establishing a foothold, or beachhead, malicious actors can collect sensitive information, scan targets, and execute an attack.Increasing defensive capabilities through cyber deception shows great promise by providing an opportunity to delay and disrupt an attacker once network perimeter security has already been breached. Traditional Human Factors research and methods are designed to mitigate human limitations (e.g., mental, physical) to improve performance. These methods can also be used combatively to upend performance. Oppositional Human Factors (OHF), seek to strategically capitalize on cognitive limitations by eliciting decision-making errors and poor usability. Deceptive tactics to elicit decision-making biases might infiltrate attacker processes with uncertainty and make the overall attack economics unfavorable and cause an adversary to make mistakes and waste resources.
Two online experimental platforms were developed to test the Sunk Cost Fallacy in an interactive, gamified, and abstracted version of cyber attacker activities. This work presents the results of the Cypher platform. Offering a novel approach to understand decision-making and the Sunk Cost Fallacy influenced by factors of uncertainty, project completion and difficulty on progress decisions. Results demonstrate these methods are effective in delaying attacker forward progress, while further research is needed to fully understand the context in which decision-making limitations do and do not occur. The second platform, Attack Surface, is described. Limitations and lessons learned are presented for future work.
ContributorsJohnson, Chelsea Kae (Author) / Gutzwiller, Robert S (Thesis advisor) / Cooke, Nancy (Committee member) / Shade, Temmie (Committee member) / Ferguson-Walter, Kimberly (Committee member) / Roscoe, Rod (Committee member) / Gray, Rob (Committee member) / Arizona State University (Publisher)
Created2022
Description
This research aimed to analyze and ultimately understand the relationship between the four dimensions of the Technology Readiness Index (TRI) 2.0 (optimism, innovation, discomfort, and insecurity) when compared to self-efficacy and learning. The experiment design was a one-group pretest-posttest where a participant’s TRI 2.0 acted as a subject variable. This information was then correlated to changes in self-efficacy and content mastery (learning) from pre-/post-test scores pertaining to Google Sheets functions for introductory statistics. In-between the pre- and post-tests, a learning activity was presented which asked participants to analyze quantitative statistics using Google Sheets. Findings of this research demonstrated a statistically insignificant relationship between technology readiness and self-efficacy or learning. Alternatively, significance was observed in changes from pre- to post-test scores for both learning and self-efficacy where a relationship was found between the degree to which participants’ content mastery and self-efficacy change before and after a computer-supported learning activity is assigned. These findings directly contribute to current understanding of how and why individuals can effectively learn and perform in computer-supported learning environments.
ContributorsCervantes Villa, Sabrina Marie (Author) / Craig, Scotty D. (Thesis advisor) / Donner, Jodie (Committee member) / Roscoe, Rod (Committee member) / Wylie, Ruth (Committee member) / Arizona State University (Publisher)
Created2022
Description
The science, technology, engineering, and math (STEM) education community is interested in using virtual reality (VR) to help students learn STEM knowledge. Prior research also provided evidence that VR learning can increase students’ motivation and learning achievement. However, it was not clear whether the effect of VR on learning was partly from sensory novelty and whether the effectiveness was sustainable. This study was to satisfy the concern on the sustainability of VR STEM learning in instruction and address the research gaps in exploring the effect of VR on a STEM learning experience with a consideration of novelty.
The study used a mixed-methods experimental design and involved a three-session VR STEM learning intervention. The quantitative data was collected through the intervention by survey questionnaire, session quiz, and pre- and post-tests, while the interviews were taken after the intervention. The structural equation modeling method was used to explore the relationships among factors in the VR learning experience. Longitudinal quantitative comparisons were conducted with the multiple imputation method. Its purpose was to evaluate the changing magnitude of factors across sessions. After quantitative analysis, interview transcripts were analyzed. They were used to triangulate or provide context for understanding of quantitative results.
The results showed that motivation and engagement play a critical mediation role in an effective VR learning experience. While individuals’ psychological responses and motivation may significantly increase in a VR learning experience for novelty, the novelty effect may not steeply decrease when individuals are becoming familiar with the novelty. This phenomenon is more observable in a VR condition having a high degree of immersion and embodiment. In addition, novelty does not necessarily increase learning achievement. The increase of learning achievement is more dependent on a match between the learning content and the learning method. The embodied learning method is appropriate for instructing difficult knowledge and spatial knowledge. Reserving enough time for reflection is important to deep learning in a VR environment.
The study used a mixed-methods experimental design and involved a three-session VR STEM learning intervention. The quantitative data was collected through the intervention by survey questionnaire, session quiz, and pre- and post-tests, while the interviews were taken after the intervention. The structural equation modeling method was used to explore the relationships among factors in the VR learning experience. Longitudinal quantitative comparisons were conducted with the multiple imputation method. Its purpose was to evaluate the changing magnitude of factors across sessions. After quantitative analysis, interview transcripts were analyzed. They were used to triangulate or provide context for understanding of quantitative results.
The results showed that motivation and engagement play a critical mediation role in an effective VR learning experience. While individuals’ psychological responses and motivation may significantly increase in a VR learning experience for novelty, the novelty effect may not steeply decrease when individuals are becoming familiar with the novelty. This phenomenon is more observable in a VR condition having a high degree of immersion and embodiment. In addition, novelty does not necessarily increase learning achievement. The increase of learning achievement is more dependent on a match between the learning content and the learning method. The embodied learning method is appropriate for instructing difficult knowledge and spatial knowledge. Reserving enough time for reflection is important to deep learning in a VR environment.
ContributorsHuang, Wen (Author) / Roscoe, Rod (Thesis advisor) / Johnson, Mina (Committee member) / Craig, Scotty (Committee member) / Arizona State University (Publisher)
Created2020
Description
Past research on knowledge has differentiated between dimensions of knowledge, for example amount or coherence. This dissertation introduces a novel dimension of knowledge, the Motivational Utility of Knowledge (MUK), that is based on hierarchies of human needs (e.g., physical safety, status/esteem, actualization, reproduction). The effects of MUK are tested in a set of four studies on the topic of houselessness. All four studies used the same dataset. Adults in the United States (N = 190) were recruited from an online survey platform and paid for participation. They were first asked about their conceptions of houselessness. Next, they read a set of four texts arguing different views of houselessness, and administered a comprehension test, an emotion while reading test, and asked if the text conflicted with their beliefs. They were then reassessed on their conceptions and administered the MUK scale. Finally, they were given a demographics questionnaire, including questions about their personal experience with houselessness, and were administered a general prior knowledge test and a vocabulary knowledge test. Study 1 examined MUK as a construct and assessed the factor structure of the scale. The analyses showed that the subscales of MUK loaded onto a single factor – overall value of houselessness knowledge. Study 2 situated MUK within the domain of conceptual change. The results demonstrated that participants’ conceptions of houselessness were related to MUK, and that their propensity to engage in conceptual change depended on MUK. Study 3 situated MUK within the domain of text comprehension research and demonstrated that the text-belief consistency effect is enhanced when participants have high MUK. Finally, Study 4 examined MUK as a mediator between conceptions and comprehension and examined the role of MUK in predicting negative emotions. Overall, the findings suggest that MUK plays a role in conceptual change and text comprehension such that participants with high MUK are less likely to revise their knowledge and have worse comprehension when the text conflicts with their beliefs. In addition, MUK may predict emotions while reading about controversial topics, as participants with high MUK were more likely to report negative emotions while reading.
ContributorsWatanabe, Micah (Author) / McNamara, Danielle S. (Thesis advisor) / Brewer, Gene (Committee member) / Firetto, Carla (Committee member) / Roscoe, Rod (Committee member) / Arizona State University (Publisher)
Created2023