Action and perception: Neural indices of learning in infants

Early human development offers a unique perspective in investigating the potential cognitive and social implications of action and perception. Specifically, during infancy, action production and action perception undergo foundational developments. One essential component to examine developments in action processing is the analysis of others’ actions as meaningful and goal-directed. Little research, however, has examined the underlying neural systems that may be associated with emerging action and perception abilities, and infants’ learning of goal-directed actions. The current study examines the mu rhythm—a brain oscillation found in the electroencephalogram (EEG)—that has been associated with action and perception. Specifically, the present work investigates whether the mu signal is related to 9-month-olds’ learning of a novel goal-directed means-end task. The findings of this study demonstrate a relation between variations in mu rhythm activity and infants’ ability to learn a novel goal-directed means-end action task (compared to a visual pattern learning task used as a comparison task). Additionally, we examined the relations between standardized assessments of early motor competence, infants’ ability to learn a novel goal-directed task, and mu rhythm activity. We found that: 1a) mu rhythm activity during observation of a grasp uniquely predicted infants’ learning on the cane training task, 1b) mu rhythm activity during observation and execution of a grasp did not uniquely predict infants’ learning on the visual pattern learning task (comparison learning task), 2) infants’ motor competence did not predict infants’ learning on the cane training task, 3) mu rhythm activity during observation and execution was not related to infants’ measure of motor competence, and 4) mu rhythm activity did not predict infants’ learning on the cane task above and beyond infants’ motor competence. The results from this study demonstrate that mu rhythm activity is a sensitive measure to detect individual differences in infants’ action and perception abilities, specifically their learning of a novel goal-directed action.

Are Videogames Art?

My dissertation defends a positive answer to the question: “Can a videogame be a work of art? ” To achieve this goal I develop definitions of several concepts, primarily ‘art’, ‘games’, and ‘videogames’, and offer arguments about the compatibility of these notions. In Part One, I defend a definition of art from amongst several contemporary and historical accounts. This definition, the Intentional-Historical account, requires, among other things, that an artwork have the right kind of creative intentions behind it, in short that the work be intended to be regarded in a particular manner. This is a leading account that has faced several recent objections that I address, particular the buck-passing theory, the objection against non-failure theories of art, and the simultaneous creation response to the ur-art problem, while arguing that it is superior to other theories in its ability to answer the question of videogames’ art status. Part Two examines whether games can exhibit the art-making kind of creative intention. Recent literature has suggested that they can. To verify this a definition of games is needed. I review and develop the most promising account of games in the literature, the over-looked account from Bernard Suits. I propose and defend a modified version of this definition against other accounts. Interestingly, this account entails that games cannot be successfully intended to be works of art because games are goal-directed activities that require a voluntary selection of inefficient means and that is incompatible with the proper manner of regarding that is necessary for something to be an artwork. While the conclusions of Part One and Part Two may appear to suggest that videogames cannot be works of art, Part Three proposes and defends a new account of videogames that, contrary to first appearances, implies that not all videogames are games. This Intentional-Historical Formalist account allows for non-game videogames to be created with an art-making intention, though not every non-ludic videogame will have an art-making intention behind it. I then discuss examples of videogames that are good candidates for being works of art. I conclude that a videogame can be a work of art, but that not all videogames are works of art. The thesis is significant in several respects. It is a continuation of academic work that has focused on the definition and art status of videogames. It clarifies the current debate and provides a positive account of the central issues that has so far been lacking. It also defines videogames in a way that corresponds better with the actual practice of videogame making and playing than other definitions in the literature. It offers further evidence in defense of certain theories of art over others, providing a close examination of videogames as a new case study for potential art objects and for aesthetic and artistic theory in general. Finally, it provides a compelling answer to the question of whether videogames can be art. This project also provides the groundwork for new evaluative, critical, and appreciative tools for engagement with videogames as they develop as a medium. As videogames mature, more people, both inside and outside academia, have increasing interest in what they are and how to understand them. One place many have looked is to the practice of art appreciation. My project helps make sense of which appreciative and art-critical tools and methods are applicable to videogames.

VERSATILITY IN THE MODERN PERFORMER: THREE DIVERSE OPERA ROLES

This dissertation project consisted of performances of three diverse operatic roles. The goal was to examine the challenges and benefits of performing diverse repertoire (baroque, classical, and romantic opera, in this case) and to observe how vocal and acting techniques might adjust to different styles and voice classifications. On December 3, 5, 11, and 13,2003, I performed a composite role in Fatal Song, directed by Leon Major, in the Robert & Arlene Kogod Theatre. This opera pastiche, premiered in 1996, contains spoken dialogue, and the music originates from famous eighteenth and nineteenth-century operas. I explored the challenges and benefits of playing three different, well-known opera characters within the same opera, performing four different languages within the same opera, and performing spoken dialogue in an opera. My roles in this pastiche of famous opera included Lucia from Lucia di Lammermoor by Gaetano Donizetti, Manon from Manon by Jules Massenet, and Pamina from Die ZauberJlote by W.A. Mozart. On January 28 and 29, 2005, I performed the role of Nice in Eurilla e Alcindo, a serenata by Antonio Vivaldi, in Homer Ulrich Recital Hall; musical direction by Joseph Gascho and stage direction by Kate Vetter Cain. I explored the challenges and benefits of preparing baroque ornamentation, singing without a conductor, performing an unknown work, staging a work that is not traditionally staged, singing with minimal sets and costumes, and singing with period instruments. On April 16,20, and 24,2005, I performed the role of Musetta in Giacomo Puccini's La BohBme, directed by Pat Diamond and conducted by Jeffrey Rink, in the Ina & Jack Kay Theatre. I examined the challenges and benefits of singing with a large orchestra of modem instruments, singing Puccini rubato and coordinating this with the conductor, and singing a role in one of the most well-known operas in today's repertoire. As a result of this investigation, I concluded that singing different styles, and singing outside one's voice classification, within reason, is beneficial. The knowledge, skill, confidence and insight I acquired by becoming more versatile benefited me as a performer and as a teacher.

Assessing the viability of studying motion indicators of autism spectrum disorders in infants at high and low risk for ASD using a passive motion capture system

Gemstone Team AMIRA

Modeling the Effects of Habitat Fragmentation on the Movements of the Mongolian Gazelle in the Eastern Mongolian Steppe

The Mongolian gazelle, Procapra gutturosa, resides in the immense and dynamic ecosystem of the Eastern Mongolian Steppe. The Mongolian Steppe ecosystem dynamics, including vegetation availability, change rapidly and dramatically due to unpredictable precipitation patterns. The Mongolian gazelle has adapted to this unpredictable vegetation availability by making long range nomadic movements. However, predicting these movements is challenging and requires a complex model. An accurate model of gazelle movements is needed, as rampant habitat fragmentation due to human development projects - which inhibit gazelles from obtaining essential resources - increasingly threaten this nomadic species. We created a novel model using an Individual-based Neural Network Genetic Algorithm (ING) to predict how habitat fragmentation affects animal movement, using the Mongolian Steppe as a model ecosystem. We used Global Positioning System (GPS) collar data from real gazelles to “train” our model to emulate characteristic patterns of Mongolian gazelle movement behavior. These patterns are: preferred vegetation resources (NDVI), displacement over certain time lags, and proximity to human areas. With this trained model, we then explored how potential scenarios of habitat fragmentation may affect gazelle movement. This model can be used to predict how fragmentation of the Mongolian Steppe may affect the Mongolian gazelle. In addition, this model is novel in that it can be applied to other ecological scenarios, since we designed it in modules that are easily interchanged.