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An emerging body of literature suggests that humans likely have multiple threat avoidance systems that enable us to detect and avoid threats in our environment, such as disease threats and physical safety threats. These systems are presumed to be domain-specific, each handling one class of potential threats, and previous research

An emerging body of literature suggests that humans likely have multiple threat avoidance systems that enable us to detect and avoid threats in our environment, such as disease threats and physical safety threats. These systems are presumed to be domain-specific, each handling one class of potential threats, and previous research generally supports this assumption. Previous research has not, however, directly tested the domain-specificity of disease avoidance and self-protection by showing that activating one threat management system does not lead to responses consistent only with a different threat management system. Here, the domain- specificity of the disease avoidance and self-protection systems is directly tested using the lexical decision task, a measure of stereotype accessibility, and the implicit association test. Results, although inconclusive, more strongly support a series of domain-specific threat management systems than a single, domain- general system
ContributorsAnderson, Uriah Steven (Author) / Kenrick, Douglas T. (Thesis advisor) / Shiota, Michelle N. (Committee member) / Neuberg, Steven L. (Committee member) / Becker, David V (Committee member) / Arizona State University (Publisher)
Created2011
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Description
Intuitive decision making refers to decision making based on situational pattern recognition, which happens without deliberation. It is a fast and effortless process that occurs without complete awareness. Moreover, it is believed that implicit learning is one means by which a foundation for intuitive decision making is developed. Accordingly, the

Intuitive decision making refers to decision making based on situational pattern recognition, which happens without deliberation. It is a fast and effortless process that occurs without complete awareness. Moreover, it is believed that implicit learning is one means by which a foundation for intuitive decision making is developed. Accordingly, the present study investigated several factors that affect implicit learning and the development of intuitive decision making in a simulated real-world environment: (1) simple versus complex situational patterns; (2) the diversity of the patterns to which an individual is exposed; (3) the underlying mechanisms. The results showed that simple patterns led to higher levels of implicit learning and intuitive decision-making accuracy than complex patterns; increased diversity enhanced implicit learning and intuitive decision-making accuracy; and an embodied mechanism, labeling, contributes to the development of intuitive decision making in a simulated real-world environment. The results suggest that simulated real-world environments can provide the basis for training intuitive decision making, that diversity is influential in the process of training intuitive decision making, and that labeling contributes to the development of intuitive decision making. These results are interpreted in the context of applied situations such as military applications involving remotely piloted aircraft.
ContributorsCovas-Smith, Christine Marie (Author) / Cooke, Nancy J. (Thesis advisor) / Patterson, Robert (Committee member) / Glenberg, Arthur (Committee member) / Homa, Donald (Committee member) / Arizona State University (Publisher)
Created2011
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Description
Although there are many forms of organization on the Web, one of the most prominent ways to organize web content and websites are tags. Tags are keywords or terms that are assigned to a specific piece of content in order to help users understand the common relationships between pieces of

Although there are many forms of organization on the Web, one of the most prominent ways to organize web content and websites are tags. Tags are keywords or terms that are assigned to a specific piece of content in order to help users understand the common relationships between pieces of content. Tags can either be assigned by an algorithm, the author, or the community. These tags can also be organized into tag clouds, which are visual representations of the structure and organization contained implicitly within these tags. Importantly, little is known on how we use these different tagging structures to understand the content and structure of a given site. This project examines 2 different characteristics of tagging structures: font size and spatial orientation. In order to examine how these different characteristics might interact with individual differences in attentional control, a measure of working memory capacity (WMC) was included. The results showed that spatial relationships affect how well users understand the structure of a website. WMC was not shown to have any significant effect; neither was varying the font size. These results should better inform how tags and tag clouds are used on the Web, and also provide an estimation of what properties to include when designing and implementing a tag cloud on a website.
ContributorsBanas, Steven (Author) / Sanchez, Christopher A (Thesis advisor) / Branaghan, Russell (Committee member) / Cooke, Nancy J. (Committee member) / Arizona State University (Publisher)
Created2011
ContributorsWard, Geoffrey Harris (Performer) / ASU Library. Music Library (Publisher)
Created2018-03-18
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Description
Traditional perspectives on sexual prejudice typically focus on the distinction between heterosexual ingroup and homosexual outgroup. In contrast, I focus on an affordance-management paradigm which views prejudices as resulting not from ingroup/outgroup relations, but instead from perceptions of the threats and opportunities posed by members of different groups. Past research

Traditional perspectives on sexual prejudice typically focus on the distinction between heterosexual ingroup and homosexual outgroup. In contrast, I focus on an affordance-management paradigm which views prejudices as resulting not from ingroup/outgroup relations, but instead from perceptions of the threats and opportunities posed by members of different groups. Past research has demonstrated that non-heterosexual target groups are perceived to pose a variety of threats, including threats to the socialization of young children, of child molestation, of disease, and to values. My research, however, suggests sexual prejudices arise for college students from beliefs that certain sexual orientation groups pose threats of unwanted sexual interest. For young adults, mating concerns are salient and should define relevant threats and opportunities--including those that might drive prejudices. For individuals with different active motivations, however, different threats and opportunities and threats are salient, and so the threats driving sexual prejudices may also differ. I extend my past research to consider how activating different fundamental goals (e.g., disease avoidance, parenting) alters patterns of sexual prejudice. I posit that activating disease concerns will increase prejudice specifically toward non-heterosexuals associated with disease (gay and bisexual me)--but not other non-heterosexuals (lesbians and bisexual women)--whereas activating offspring care will increase prejudice toward all non-heterosexual target groups, as all are perceived to pose socialization threats. To test this, heterosexual participants were randomly assigned to a parenting or disease-avoidance goal activation, or control condition, and then rated their general negativity towards heterosexual, bisexual, and homosexual male and female targets. They also rated their perceptions of the extent to which each target posed unwanted sexual interest, socialization, and disease threats. Contrary to predictions, activating parenting and disease avoidance systems failed to affect sexual prejudices. Furthermore, although the pattern of observed data was largely consistent with previously observed patterns, women's attitudes towards gay men in the control condition were more negative than that found in previous studies, as were men's attitudes towards bisexual and lesbian women. Multiple mechanisms underlie sexual prejudices, and research is needed to better understand the circumstances under which alternative mechanisms are engaged and have their effects.
ContributorsPirlott, Angela (Author) / Neuberg, Steven L. (Thesis advisor) / Kenrick, Douglas T. (Committee member) / Mackinnon, David P. (Committee member) / Shiota, Michelle N. (Committee member) / Arizona State University (Publisher)
Created2012
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Description
Research on priming has shown that a stimulus can cause people to behave according to the stereotype held about the stimulus. Two experiments were conducted in which the effects of elderly priming were tested by use of a driving simulator. In both experiments, participants drove through a simulated world guided

Research on priming has shown that a stimulus can cause people to behave according to the stereotype held about the stimulus. Two experiments were conducted in which the effects of elderly priming were tested by use of a driving simulator. In both experiments, participants drove through a simulated world guided by either an elderly or a younger female voice. The voices told the participants where to make each of six turns. Both experiments yielded slower driving speeds in the elderly voice condition. The effect was universal regardless of implicit and explicit attitudes towards elderly people.
ContributorsFoster, L Bryant (Author) / Branaghan, Russell (Thesis advisor) / Becker, David (Committee member) / Cooke, Nancy J. (Committee member) / Arizona State University (Publisher)
Created2012
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Description
By extracting communication sequences from audio data collected during two separate five-person mission-planning tasks, interaction patterns in team communication were analyzed using a recurrence-based, nonlinear dynamics approach. These methods, previously successful in detecting pattern change in a three-person team task, were evaluated for their applicability to larger team settings, and

By extracting communication sequences from audio data collected during two separate five-person mission-planning tasks, interaction patterns in team communication were analyzed using a recurrence-based, nonlinear dynamics approach. These methods, previously successful in detecting pattern change in a three-person team task, were evaluated for their applicability to larger team settings, and their ability to detect pattern change when team members switched roles or locations partway through the study (Study 1) or change in patterns over time (Study 2). Both traditional interaction variables (Talking Time, Co-Talking Time, and Sequence Length of Interactions) and dynamic interaction variables (Recurrence Rate, Determinism, and Pattern Information) were explored as indicators and predictors of changes in team structure and performance. Results from these analyses provided support that both traditional and dynamic interaction variables reflect some changes in team structure and performance. However, changes in communication patterns were not detected. Because simultaneous conversations are possible in larger teams, but not detectable through our communication sequence methods, team pattern changes may not be visible in communication sequences for larger teams. This suggests that these methods may not be applicable for larger teams, or in situations where simultaneous conversations may occur. Further research is needed to continue to explore the applicability of recurrence-based nonlinear dynamics in the analysis of team communication.
ContributorsFouse, Shannon (Author) / Cooke, Nancy J. (Thesis advisor) / Becker, David (Thesis advisor) / Gorman, Jamie (Committee member) / Arizona State University (Publisher)
Created2012
ContributorsMeszler, Alexander (Performer) / ASU Library. Music Library (Publisher)
Created2018-04-24
ContributorsMealey, Natalie Paige (Performer) / ASU Library. Music Library (Publisher)
Created2021-04-22
ContributorsTucker, Julia (Performer) / ASU Library. Music Library (Publisher)
Created2021-04-20