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Description
Prospective memory is defined as remembering to carry out specified actions in the future. Research has suggested that prospective memory retrieval is reliant on multiple cognitive processes to function, and the ways in which these different processes are used is dependent on a variety of variables relating to the prospective memory task at hand. The current study focuses on the strength of the association between the prospective
memory cue and the prospective memory intention. Based on literature suggesting that aspects of prospective memory are reliant on executive control functioning, the current study examined the possibility that executive control depletion would affect prospective memory ability on subsequent tasks. Results showed that depletion of executive control resources, measured objectively, did not impair prospective memory in either a low or
high cue-association condition. However, participants‟ subjective assessment of their own fatigue correlated significantly with their subsequent prospective memory performance, regardless of association condition. The results of the study indicate that depletion studies that fail to account for both objective and subjective measures suffer from an unclear interpretation of effects, and that recognition of perceived expectancies
of cognitive resource limitation can assist in improving prospective memory ability.
memory cue and the prospective memory intention. Based on literature suggesting that aspects of prospective memory are reliant on executive control functioning, the current study examined the possibility that executive control depletion would affect prospective memory ability on subsequent tasks. Results showed that depletion of executive control resources, measured objectively, did not impair prospective memory in either a low or
high cue-association condition. However, participants‟ subjective assessment of their own fatigue correlated significantly with their subsequent prospective memory performance, regardless of association condition. The results of the study indicate that depletion studies that fail to account for both objective and subjective measures suffer from an unclear interpretation of effects, and that recognition of perceived expectancies
of cognitive resource limitation can assist in improving prospective memory ability.
ContributorsCook, Carson (Author) / Brewer, Gene (Thesis director) / Presson, Clark (Committee member) / Homa, Donald (Committee member) / Barrett, The Honors College (Contributor) / College of Liberal Arts and Sciences (Contributor)
Created2012-12
Description
Social proof and mismatch of self-preference have been assumed to play an important role in the inference of value. They can be influential factors when it comes to decision-making in a mate-selection environment. In this thesis study, participants took an online survey in the form of a dating website. They answered a series of questions about the traits they would like to see in a potential mate. They were then presented with four potential mates and asked to rank them by their preferences. The results show that participants most preferred the potential mate with a high social proof and a low mismatch of self-preference and least preferred the potential mate with a low social proof and a high mismatch of self-preference. When comparing just social proof and mismatch of self-preference, there was not an interaction effect between the two. I conclude that even though social proof is a powerful influencing factor by itself, it did not have the power to trump the mismatch of self-preference.
ContributorsAkhter, Sumbal (Author) / Kwan, Virginia (Thesis director) / Knight, George (Committee member) / Cohen, Adam (Committee member) / Barrett, The Honors College (Contributor) / College of Liberal Arts and Sciences (Contributor)
Created2012-12
Description
Nonlinear responses in the dynamics of climate system could be triggered by small change of forcing. Interactions between different components of Earth’s climate system are believed to cause abrupt and catastrophic transitions, of which anthropogenic forcing is a major and the most irreversible driver. Meantime, in the face of global climate change, extreme climatic events, such as extreme precipitations, heatwaves, droughts, etc., are projected to be more frequent, more intense, and longer in duration. These nonlinear responses in climate dynamics from tipping points to extreme events pose serious threats to human society on a large scale. Understanding the physical mechanisms behind them has potential to reduce related risks through different ways. The overarching objective of this dissertation is to quantify complex interactions, detect tipping points, and explore propagations of extreme events in the hydroclimate system from a new structure-based perspective, by integrating climate dynamics, causal inference, network theory, spectral analysis, and machine learning. More specifically, a network-based framework is developed to find responses of hydroclimate system to potential critical transitions in climate. Results show that system-based early warning signals towards tipping points can be located successfully, demonstrated by enhanced connections in the network topology. To further evaluate the long-term nonlinear interactions among the U.S. climate regions, causality inference is introduced and directed complex networks are constructed from climatology records over one century. Causality networks reveal that the Ohio valley region acts as a regional gateway and mediator to the moisture transport and thermal transfer in the U.S. Furthermore, it is found that cross-regional causality variability manifests intrinsic frequency ranging from interannual to interdecadal scales, and those frequencies are associated with the physics of climate oscillations. Besides the long-term climatology, this dissertation also aims to explore extreme events from the system-dynamic perspective, especially the contributions of human-induced activities to propagation of extreme heatwaves in the U.S. cities. Results suggest that there are long-range teleconnections among the U.S. cities and supernodes in heatwave spreading. Findings also confirm that anthropogenic activities contribute to extreme heatwaves by the fact that causality during heatwaves is positively associated with population in megacities.
ContributorsYang, Xueli (Author) / Yang, Zhihua (Thesis advisor) / Lai, Ying-Cheng (Committee member) / Li, Qi (Committee member) / Xu, Tianfang (Committee member) / Zeng, Ruijie (Committee member) / Arizona State University (Publisher)
Created2023