Matching Items (416)
ContributorsWard, Geoffrey Harris (Performer) / ASU Library. Music Library (Publisher)
Created2018-03-18
Description
The current study examines the role that context plays in hackers' perceptions of the risks and payoffs characterizing a hacktivist attack. Hacktivism (i.e., hacking to convey a moral, ethical, or social justice message) is examined through a general game theoretic framework as a product of costs and benefits, as well as the contextual cues that may sway hackers' estimations of each. In two pilot studies, a bottom-up approach is utilized to identify the key motives underlying (1) past attacks affiliated with a major hacktivist group, Anonymous, and (2) popular slogans utilized by Anonymous in its communication with members, targets, and broader society. Three themes emerge from these analyses, namely: (1) the prevalence of first-person plural pronouns (i.e., we, our) in Anonymous slogans; (2) the prevalence of language inducing status or power; and (3) the importance of social injustice in triggering Anonymous activity. The present research therefore examines whether these three contextual factors activate participants' (1) sense of deindividuation, or the loss of an individual's personal self in the context of a group or collective; and (2) motive for self-serving power or society-serving social justice. Results suggest that participants' estimations of attack likelihood stemmed solely from expected payoffs, rather than their interplay with subjective risks. As expected, the use of we language led to a decrease in subjective risks, possibly due to primed effects of deindividuation. In line with game theory, the joint appearance of both power and justice motives resulted in (1) lower subjective risks, (2) higher payoffs, and (3) higher attack likelihood overall. Implications for policymakers and the understanding and prevention of hacktivism are discussed, as are the possible ramifications of deindividuation and power for the broader population of Internet users around the world.
ContributorsBodford, Jessica (Author) / Kwan, Virginia S. Y. (Thesis advisor) / Shakarian, Paulo (Committee member) / Adame, Bradley J. (Committee member) / Arizona State University (Publisher)
Created2015
Description
Project portfolio selection (PPS) is a significant problem faced by most organizations. How to best select the many innovative ideas that a company has developed to deploy in a proper and sustained manner with a balanced allocation of its resources over multiple time periods is one of vital importance to a company's goals. This dissertation details the steps involved in deploying a more intuitive portfolio selection framework that facilitates bringing analysts and management to a consensus on ongoing company efforts and buy into final decisions. A binary integer programming selection model that constructs an efficient frontier allows the evaluation of portfolios on many different criteria and allows decision makers (DM) to bring their experience and insight to the table when making a decision is discussed. A binary fractional integer program provides additional choices by optimizing portfolios on cost-benefit ratios over multiple time periods is also presented. By combining this framework with an `elimination by aspects' model of decision making, DMs evaluate portfolios on various objectives and ensure the selection of a portfolio most in line with their goals. By presenting a modeling framework to easily model a large number of project inter-dependencies and an evolutionary algorithm that is intelligently guided in the search for attractive portfolios by a beam search heuristic, practitioners are given a ready recipe to solve big problem instances to generate attractive project portfolios for their organizations. Finally, this dissertation attempts to address the problem of risk and uncertainty in project portfolio selection. After exploring the selection of portfolios based on trade-offs between a primary benefit and a primary cost, the third important dimension of uncertainty of outcome and the risk a decision maker is willing to take on in their quest to select the best portfolio for their organization is examined.
ContributorsSampath, Siddhartha (Author) / Gel, Esma (Thesis advisor) / Fowler, Jown W (Thesis advisor) / Kempf, Karl G. (Committee member) / Pan, Rong (Committee member) / Sefair, Jorge (Committee member) / Arizona State University (Publisher)
Created2018
Description
Motivated by the need for cities to prepare and be resilient to unpredictable future weather conditions, this dissertation advances a novel infrastructure development theory of “safe-to-fail” to increase the adaptive capacity of cities to climate change. Current infrastructure development is primarily reliant on identifying probable risks to engineered systems and making infrastructure reliable to maintain its function up to a designed system capacity. However, alterations happening in the earth system (e.g., atmosphere, oceans, land, and ice) and in human systems (e.g., greenhouse gas emission, population, land-use, technology, and natural resource use) are increasing the uncertainties in weather predictions and risk calculations and making it difficult for engineered infrastructure to maintain intended design thresholds in non-stationary future. This dissertation presents a new way to develop safe-to-fail infrastructure that departs from the current practice of risk calculation and is able to manage failure consequences when unpredicted risks overwhelm engineered systems.
This dissertation 1) defines infrastructure failure, refines existing safe-to-fail theory, and compares decision considerations for safe-to-fail vs. fail-safe infrastructure development under non-stationary climate; 2) suggests an approach to integrate the estimation of infrastructure failure impacts with extreme weather risks; 3) provides a decision tool to implement resilience strategies into safe-to-fail infrastructure development; and, 4) recognizes diverse perspectives for adopting safe-to-fail theory into practice in various decision contexts.
Overall, this dissertation advances safe-to-fail theory to help guide climate adaptation decisions that consider infrastructure failure and their consequences. The results of this dissertation demonstrate an emerging need for stakeholders, including policy makers, planners, engineers, and community members, to understand an impending “infrastructure trolley problem”, where the adaptive capacity of some regions is improved at the expense of others. Safe-to-fail further engages stakeholders to bring their knowledge into the prioritization of various failure costs based on their institutional, regional, financial, and social capacity to withstand failures. This approach connects to sustainability, where city practitioners deliberately think of and include the future cost of social, environmental and economic attributes in planning and decision-making.
ContributorsKim, Yeowon (Author) / Chester, Mikhail (Thesis advisor) / Eakin, Hallie (Committee member) / Redman, Charles (Committee member) / Miller, Thaddeus R. (Committee member) / Arizona State University (Publisher)
Created2018
Description
Previous research from Rajsic et al. (2015, 2017) suggests that a visual form of confirmation bias arises during visual search for simple stimuli, under certain conditions, wherein people are biased to seek stimuli matching an initial cue color even when this strategy is not optimal. Furthermore, recent research from our lab suggests that varying the prevalence of cue-colored targets does not attenuate the visual confirmation bias, although people still fail to detect rare targets regardless of whether they match the initial cue (Walenchok et al. under review). The present investigation examines the boundary conditions of the visual confirmation bias under conditions of equal, low, and high cued-target frequency. Across experiments, I found that: (1) People are strongly susceptible to the low-prevalence effect, often failing to detect rare targets regardless of whether they match the cue (Wolfe et al., 2005). (2) However, they are still biased to seek cue-colored stimuli, even when such targets are rare. (3) Regardless of target prevalence, people employ strategies when search is made sufficiently burdensome with distributed items and large search sets. These results further support previous findings that the low-prevalence effect arises from a failure to perceive rare items (Hout et al., 2015), while visual confirmation bias is a bias of attentional guidance (Rajsic et al., 2015, 2017).
ContributorsWalenchok, Stephen Charles (Author) / Goldinger, Stephen D (Thesis advisor) / Azuma, Tamiko (Committee member) / Homa, Donald (Committee member) / Hout, Michael C (Committee member) / McClure, Samuel M. (Committee member) / Arizona State University (Publisher)
Created2018
ContributorsBolari, John (Performer) / ASU Library. Music Library (Publisher)
Created2018-10-04
Description
The purpose of this thesis study was to examine whether the "war on cancer" metaphor influences cancer perception and treatment decision. A total of 249 undergraduates (152 females) from a large southwestern university participated in an online survey experiment and were either randomly assigned to the control condition (N=123) or to the war prime condition (N=126). Participants in the control condition did not receive the metaphor manipulation while participants in the war prime condition received the subtle "war on cancer" metaphor prime. After the prime was given, participants read a scenario, answered questions related to the situation, and responded to demographic questions. The results suggested that, compared to participants in the no-prime condition, participants exposed to the war metaphor were more likely to (a) view melanoma as an acute disease, (b) choose chemotherapy over molecular tests, and (c) prefer more aggressive treatment. These findings illustrated the unintended consequences of the "war on cancer" slogan. The results were encouraging and in the predicted direction, but the effect size was small. The discussion section described possible future directions for research.
ContributorsShangraw, Ann Mariah (Author) / Kwan, Virginia (Thesis director) / Neuberg, Steven (Committee member) / Cavanaugh Toft, Carolyn (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor)
Created2015-05
ContributorsOftedahl, Paul (Performer) / ASU Library. Music Library (Publisher)
Created2018-09-29
Description
There are two common cognitive distortions present in risky decision-making behavior. The gambler's fallacy is the notion that a random game of chance is potentially biased by previous outcomes, and the near-miss effect is the overestimation of the probability of winning immediately after barely missing a win. This study replicated a portion of the methods of Clark et al. (2014) in an attempt to support the presence of these two fallacies in online simulated risky decision-making tasks. One hundred individuals were recruited and asked to perform one of two classic gambling tasks, either predict the outcome of a dichromatic roulette wheel or spin a simplified, two-reel slot machine. An analysis of color predictions as a function of run length revealed a classic gambler's fallacy effect in the roulette wheel task. A heightened motivation to continue playing after a win, but not a near or full miss, was seen in the slot machine task. How pleased an individual was with the results of the previous round directly affected his or her interest in continuing to play in both experiments. These findings indicate that the gambler's fallacy is present in online decision-making simulations involving risk, but that the near-miss effect is not.
ContributorsCatinchi, Alexis Leigh (Author) / McClure, Samuel (Thesis director) / Glenberg, Arthur (Committee member) / Gatewood, Kira (Committee member) / School of Life Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Temporal discounting refers to our tendency to discount the value of future rewards. At the extreme, temporal discounting can give rise to detrimental myopic decision-making. Most studies examining the neural basis of temporal discounting in people have been performed using functional Magnetic Resonance Imaging (fMRI). However, fMRI has relatively poor temporal resolution compared with the speed at which people make choices, so understanding choice dynamics using fMRI is difficult. We address the issue utilizing electroencephalography (EEG) to study cortical processes related to temporal discounting. The fMRI literature has found that a network of fronto-parietal brain regions plays an important role during the decision-making process. We aim to explore activity in these regions during the decision process and determine how cortical activity relates to choice parameters. Based on prior fMRI studies, we hypothesized that dorsomedial prefrontal cortex (dmPFC) may act as a regulator of dorsal lateral prefrontal cortex (dlPFC) and there will be an increase in dlPFC activity for more difficult decisions. We also hypothesized that neural activity may be directly related to the temporal discount rate we estimate behaviorally. We utilized regression analysis to determine the relationship. The results found supported our hypotheses. This study may open the door to a better understanding of the dynamic of brain regions while performing a temporal discounting task.
ContributorsTanwisuth, Koranis (Author) / McClure, Samuel (Thesis director) / Brewer, Gene (Committee member) / School of Historical, Philosophical and Religious Studies (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05