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Description
For this master's thesis, a unique set of cognitive prompts, designed to be delivered through a teachable robotic agent, were developed for students using Tangible Activities for Geometry (TAG), a tangible learning environment developed at Arizona State University. The purpose of these prompts is to enhance the affordances of the tangible learning environment and help researchers to better understand how we can design tangible learning environments to best support student learning. Specifically, the prompts explicitly encourage users to make use of their physical environment by asking students to perform a number of gestures and behaviors while prompting students about domain-specific knowledge. To test the effectiveness of these prompts that combine elements of cognition and physical movements, the performance and behavior of students who encounter these prompts while using TAG will be compared against the performance and behavior of students who encounter a more traditional set of cognitive prompts that would typically be used within a virtual learning environment. Following this study, data was analyzed using a novel modeling and analysis tool that combines enhanced log annotation using video and user model generation functionalities to highlight trends amongst students.
ContributorsThomas, Elissa (Author) / Burleson, Winslow (Thesis advisor) / Muldner, Katarzyna (Committee member) / Walker, Erin (Committee member) / Glenberg, Arthur (Committee member) / Arizona State University (Publisher)
Created2014
Description
A cornerstone of children’s socio-cognitive development is understanding that others can have knowledge, thoughts, and perceptions that differ from one’s own. Preschool-aged children often have difficulty with this kind of social understanding, i.e., they lack an explicit theory of mind. The goal of this dissertation was to examine the role mental state language as a developmental mechanism of children’s early understanding of their own mental states (i.e., their introspective ability). Specifically, it was hypothesized that (1) parents’ ability to recognize and appropriately label their children’s mental states and (2) children’s linguistic ability to distinguish between their mental states shapes the development of children’s introspective ability. An initial prediction of the first hypothesis is that parents should recognized differences in the development of children’s self- and other-understanding in order to better help their children’s introspective development. In support of this prediction, parents (N = 400, Mage = 58 months, Range = 28-93 months) reported that children’s understanding of their own knowledge was greater than children’s understanding of others’ knowledge. A prediction of the second hypothesis is that children’s linguistic ability to distinguish between and appropriately label their own mental states should determine their ability to make fined grained judgments of mental states like certainty. In support of this prediction, children’s (N = 197, Mage = 56 months, Range = 36-82 months) ability to distinguish between their own knowledge and ignorance states was associated children’s ability to engage in uncertainty monitoring. Together, these findings provide support for the association between children’s linguistic environment and ability and their introspective development.
ContributorsGonzales, Christopher Ryan (Author) / Fabricius, William V. (Thesis advisor) / Spinrad, Tracy (Committee member) / Glenberg, Arthur (Committee member) / Horne, Zachary (Committee member) / Arizona State University (Publisher)
Created2018
Description
Introspective awareness refers to direct access to one’s own internal and subjective thoughts and feelings (Wimmer & Hartl, 1991). Two theories, simulation theory and theory-theory, have been used to understand our access to our mental states. Simulation theory (Harris, 1991) involves imagining yourself in another person’s situation, reading off of your mental state, and attributing that state to the other person. Theory-theory (Gopnik, 1993) involves an interrelated body of knowledge, based on core mental-state constructs, including beliefs and desires, that may be applied to everyone—self and others (Gopnik & Wellman, 1994). Introspection is taken for granted by simulation theory, and explicitly denied by theory-theory. This study is designed to test for evidence of introspection in young children using simple perception and knowledge task. The current evidence is against introspective awareness in children because the data suggest that children cannot report their own false beliefs and they cannot report their on-going thoughts (Flavell, Green & Flavell, 1993; Gopnik & Astington, 1988). The hypothesis in this study states that children will perform better on Self tasks compared to Other tasks, which will be evidence for introspection. The Other-Perception tasks require children to calculate the other’s line of sight and determine if there is something obscuring his or her vision. The Other-Knowledge tasks require children to reason that the other’s previous looking inside a box means that he or she will know what is inside the box when it is closed. The corresponding Self tasks could be answered either by using the same reasoning for the self or by introspection to determine what it is they see and do not see, and know and do not know. Children performing better on Self tasks compared to Other tasks will be an indication of introspection. Tests included Yes/No and Forced Choice questions, which was initially to ensure that the results will not be caused by a feature of a single method of questioning. I realized belatedly, however, that Forced Choice was not a valid measure of introspection as children could introspect in both the Self and Other conditions. I also expect to replicate previous findings that reasoning about Perception is easier for children than reasoning about Knowledge.
ContributorsAamed, Mati (Author) / Fabricius, William (Thesis director) / Glenberg, Arthur (Committee member) / Kupfer, Anne (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor)
Created2013-12
Description
Sport is a widespread phenomenon across human cultures and history. Unfortunately, positive emotions in sport have been long vaguely characterized as happy or pleasant, or ignored altogether. Recent emotion research has taken a differentiated approach, however, suggesting there are distinct positive emotions with diverse implications for behavior. The present study applied this evolutionarily informed approach in the context of sport to examine which positive emotions are associated with play. It was hypothesized that pride, amusement, and enthusiasm, but not contentment or awe, would increase in Ultimate Frisbee players during a practice scrimmage. Further, it was hypothesized that increases in pride and amusement during practice would be differentially associated with sport outcomes, including performance (scores, assists, and defenses), subjective social connectedness, attributions of success, and attitudes toward the importance of practice. It was found that all positive emotions decreased during practice. It was also found that increases in pride were associated with more scores and greater social connectedness, whereas increases in amusement were associated with more assists. The present study was one of the first to examine change in positive emotions during play and to relate them to specific performance outcomes. Future studies should expand to determine which came first: emotion or performance.
ContributorsKuna, Jacob Anthony (Author) / Shiota, Michelle (Thesis director) / Glenberg, Arthur (Committee member) / Danvers, Alexander (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor)
Created2014-05
Description
How do children understand how others see the world? I examined correlations between 4-8 year old children's understanding of beliefs and their understanding of other ways that people represent the world. Beliefs that I measured are understanding of pretense, understanding that things can have multiple identities, understanding that people can know things by inference, and understanding that people can look at the same thing and have different representations of it. I predicted that there would be correlations among these tasks. In particular, I predicted children would be able to understand these tasks when they understood true and false beliefs, based on current theories on belief understanding. I predicted that the classic false belief task alone would not be a good predictor of task performance, but that the combination of true and false belief tasks would. Participants were 100 children recruited at the Phoenix Children's Museum between ages 4 and 8. Previous research has found that children pass all of these tasks between the ages of 6 and 8, but no other studies have looked at the inter-correlations among them. Contrary to my prediction, children did not pass these tasks all at once, but scores went up gradually with age and belief understanding.
ContributorsLaitin, Emily Lynne (Author) / Fabricius, William (Thesis director) / Glenberg, Arthur (Committee member) / Department of Psychology (Contributor) / School of Sustainability (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Reading comprehension is a critical aspect of life in America, but many English language learners struggle with this skill. Enhanced Moved by Reading to Accelerate Comprehension in English (EMBRACE) is a tablet-based interactive learning environment is designed to improve reading comprehension. During use of EMBRACE, all interactions with the system are logged, including correct and incorrect behaviors and help requests. These interactions could potentially be used to predict the child’s reading comprehension, providing an online measure of understanding. In addition, time-related features have been used for predicting learning by educational data mining models in mathematics and science, and may be relevant in this context. This project investigated the predictive value of data mining models based on user actions for reading comprehension, with and without timing information. Contradictory results of the investigation were obtained. The KNN and SVM models indicated that elapsed time is an important feature, but the linear regression models indicated that elapsed time is not an important feature. Finally, a new statistical test was performed on the KNN algorithm which indicated that the feature selection process may have caused overfitting, where features were chosen due coincidental alignment with the participants’ performance. These results provide important insights which will aid in the development of a reading comprehension predictor that improves the EMBRACE system’s ability to better serve ELLs.
ContributorsDexheimer, Matthew Scott (Author) / Walker, Erin (Thesis advisor) / Glenberg, Arthur (Committee member) / VanLehn, Kurt (Committee member) / Arizona State University (Publisher)
Created2017
Description
In motor learning, real-time multi-modal feedback is a critical element in guided training. Serious games have been introduced as a platform for at-home motor training due to their highly interactive and multi-modal nature. This dissertation explores the design of a multimodal environment for at-home training in which an autonomous system observes and guides the user in the place of a live trainer, providing real-time assessment, feedback and difficulty adaptation as the subject masters a motor skill. After an in-depth review of the latest solutions in this field, this dissertation proposes a person-centric approach to the design of this environment, in contrast to the standard techniques implemented in related work, to address many of the limitations of these approaches. The unique advantages and restrictions of this approach are presented in the form of a case study in which a system entitled the "Autonomous Training Assistant" consisting of both hardware and software for guided at-home motor learning is designed and adapted for a specific individual and trainer.
In this work, the design of an autonomous motor learning environment is approached from three areas: motor assessment, multimodal feedback, and serious game design. For motor assessment, a 3-dimensional assessment framework is proposed which comprises of 2 spatial (posture, progression) and 1 temporal (pacing) domains of real-time motor assessment. For multimodal feedback, a rod-shaped device called the "Intelligent Stick" is combined with an audio-visual interface to provide feedback to the subject in three domains (audio, visual, haptic). Feedback domains are mapped to modalities and feedback is provided whenever the user's performance deviates from the ideal performance level by an adaptive threshold. Approaches for multi-modal integration and feedback fading are discussed. Finally, a novel approach for stealth adaptation in serious game design is presented. This approach allows serious games to incorporate motor tasks in a more natural way, facilitating self-assessment by the subject. An evaluation of three different stealth adaptation approaches are presented and evaluated using the flow-state ratio metric. The dissertation concludes with directions for future work in the integration of stealth adaptation techniques across the field of exergames.
In this work, the design of an autonomous motor learning environment is approached from three areas: motor assessment, multimodal feedback, and serious game design. For motor assessment, a 3-dimensional assessment framework is proposed which comprises of 2 spatial (posture, progression) and 1 temporal (pacing) domains of real-time motor assessment. For multimodal feedback, a rod-shaped device called the "Intelligent Stick" is combined with an audio-visual interface to provide feedback to the subject in three domains (audio, visual, haptic). Feedback domains are mapped to modalities and feedback is provided whenever the user's performance deviates from the ideal performance level by an adaptive threshold. Approaches for multi-modal integration and feedback fading are discussed. Finally, a novel approach for stealth adaptation in serious game design is presented. This approach allows serious games to incorporate motor tasks in a more natural way, facilitating self-assessment by the subject. An evaluation of three different stealth adaptation approaches are presented and evaluated using the flow-state ratio metric. The dissertation concludes with directions for future work in the integration of stealth adaptation techniques across the field of exergames.
ContributorsTadayon, Ramin (Author) / Panchanathan, Sethuraman (Thesis advisor) / McDaniel, Troy (Committee member) / Amresh, Ashish (Committee member) / Glenberg, Arthur (Committee member) / Li, Baoxin (Committee member) / Arizona State University (Publisher)
Created2017