Theses and Dissertations
This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students.
Displaying 1 - 3 of 3
Filtering by
- Creators: Glenberg, Arthur
Description
Emergent processes can roughly be defined as processes that self-arise from interactions without a centralized control. People have many robust misconceptions in explaining emergent process concepts such as natural selection and diffusion. This is because they lack a proper categorical representation of emergent processes and often misclassify these processes into the sequential processes category that they are more familiar with. The two kinds of processes can be distinguished by their second-order features that describe how one interaction relates to another interaction. This study investigated if teaching emergent second-order features can help people more correctly categorize new processes, it also compared different instructional methods in teaching emergent second-order features. The prediction was that learning emergent features should help more than learning sequential features because what most people lack is the representation of emergent processes. Results confirmed this by showing participants who generated emergent features and got correct features as feedback were better at distinguishing two kinds of processes compared to participants who rewrote second-order sequential features. Another finding was that participants who generated emergent features followed by reading correct features as feedback did better in distinguishing the processes than participants who only attempted to generate the emergent features without feedback. Finally, switching the order of instruction by teaching emergent features and then asking participants to explain the difference between emergent and sequential features resulted in equivalent learning gain as the experimental group that received feedback. These results proved teaching emergent second-order features helps people categorize processes and demonstrated the most efficient way to teach them.
ContributorsXu, Dongchen (Author) / Chi, Michelene (Thesis advisor) / Homa, Donald (Committee member) / Glenberg, Arthur (Committee member) / Arizona State University (Publisher)
Created2015
Description
In this study, the oppositional processes theory was proposed to suggest that reliance on semantic and episodic memory systems hinder originality during idea generation for divergent thinking tasks that are generally used to assess creative potential. In order to investigate the proposed oppositional processes theory, three experiments that manipulated the memory accessibility in participants during the alternative uses tasks were conducted. Experiment 1 directly instructed participants to either generate usages based on memory or not from memory; Experiment 2 provided participants with object cues that were either very common or very rare in daily life (i.e., bottle vs. canteen); Experiment 3 replicated the same manipulation from Experiment 2 with much longer generation time (10 minutes in Experiment 2 vs. 30 minutes in Experiment 3). The oppositional processes theory predicted that participants who had less access to direct and unaltered usages (i.e., told to not use memory, were given rare cues, or were outputting items later in the generation period) during the task would be more creative. Results generally supported the predictions in Experiments 1 and 2 where participants from conditions which limited their access to memory generated more novel usages that were considered more creative by independent coders. Such effects were less prominent in Experiment 3 with extended generation time but the trends remained the same.
ContributorsXu, Dongchen (Author) / Brewer, Gene (Thesis advisor) / Glenberg, Arthur (Committee member) / Homa, Donald (Committee member) / Goldinger, Stephen (Committee member) / Arizona State University (Publisher)
Created2017
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 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