Matching Items (9)
Description
Motor learning is the process of improving task execution according to some measure of performance. This can be divided into skill learning, a model-free process, and adaptation, a model-based process. Prior studies have indicated that adaptation results from two complementary learning systems with parallel organization. This report attempted to answer the question of whether a similar interaction leads to savings, a model-free process that is described as faster relearning when experiencing something familiar. This was tested in a two-week reaching task conducted on a robotic arm capable of perturbing movements. The task was designed so that the two sessions differed in their history of errors. By measuring the change in the learning rate, the savings was determined at various points. The results showed that the history of errors successfully modulated savings. Thus, this supports the notion that the two complementary systems interact to develop savings. Additionally, this report was part of a larger study that will explore the organizational structure of the complementary systems as well as the neural basis of this motor learning.
ContributorsRuta, Michael (Author) / Santello, Marco (Thesis director) / Blais, Chris (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / School of Molecular Sciences (Contributor) / School of Human Evolution & Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
The role of technology in shaping modern society has become increasingly important in the context of current democratic politics, especially when examined through the lens of social media. Twitter is a prominent social media platform used as a political medium, contributing to political movements such as #OccupyWallStreet, #MeToo, and #BlackLivesMatter. Using the #BlackLivesMatter movement as an illustrative case to establish patterns in Twitter usage, this thesis aims to answer the question “to what extent is Twitter an accurate representation of “real life” in terms of performative activism and user engagement?” The discussion of Twitter is contextualized by research on Twitter’s use in politics, both as a mobilizing force and potential to divide and mislead. Using intervals of time between 2014 – 2020, Twitter data containing #BlackLivesMatter is collected and analyzed. The discussion of findings centers around the role of performative activism in social mobilization on twitter. The analysis shows patterns in the data that indicates performative activism can skew the real picture of civic engagement, which can impact the way in which public opinion affects future public policy and mobilization.
ContributorsTutelman, Laura (Author) / Voorhees, Matthew (Thesis director) / Kawski, Matthias (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Older adults tend to learn at a lesser extent and slower rate than younger individuals. This is especially problematic for older adults at risk to injury or neurological disease who require therapy to learn and relearn motor skills. There is evidence that the reticulospinal system is critical to motor learning and that deficits in the reticulospinal system may be responsible, at least in part, for learning deficits in older adults. Specifically, delays in the reticulospinal system (measured via the startle reflex) are related to poor motor learning and retention in older adults. However, the mechanism underlying these delays in the reticulospinal system is currently unknown.
Along with aging, sleep deprivation is correlated with learning deficits. Research has shown that a lack of sleep negatively impacts motor skill learning and consolidation. Since there is a link between sleep and learning, as well as learning and the reticulospinal system, these observations raise the question: does sleep deprivation underlie reticulospinal delays? We hypothesized that sleep deprivation was correlated to a slower startle response, indicating a delayed reticulospinal system. Our objectives were to observe the impact of sleep deprivation on 1) the startle response (characterized by muscle onset latency and percentage of startle responses elicited) and 2) functional performance (to determine whether subjects were sufficiently sleep deprived).
21 young adults participated in two experimental sessions: one control session (8-10 hour time in bed opportunity for at least 3 nights prior) and one sleep deprivation session (0 hour time in bed opportunity for one night prior). The same protocol was conducted during each session. First, subjects were randomly exposed to 15 loud, startling acoustic stimuli of 120 dB. Electromyography (EMG) data measured muscle activity from the left and right sternocleidomastoid (LSCM and RSCM), biceps brachii, and triceps brachii. To assess functional performance, cognitive, balance, and motor tests were also administered. The EMG data were analyzed in MATLAB. A generalized linear mixed model was performed on LSCM and RSCM onset latencies. Paired t-tests were performed on the percentage of startle responses elicited and functional performance metrics. A p-value of less than 0.05 indicated significance.
Thirteen out of 21 participants displayed at least one startle response during their control and sleep deprived sessions and were further analyzed. No differences were found in onset latency (RSCM: control = 75.87 ± 21.94ms, sleep deprived = 82.06 ± 27.47ms; LSCM: control = 79.53 ± 17.85ms, sleep deprived = 78.48 ± 20.75ms) and percentage of startle responses elicited (control = 84.10 ± 15.53%; sleep deprived = 83.59 ± 18.58%) between the two sessions. However, significant differences were observed in reaction time, TUG with Dual time, and average balance time with the right leg up. Our data did not support our hypothesis; no significant differences were seen between subjects’ startle responses during the control and sleep deprived sessions. However, sleep deprivation was indicated with declines were observed in functional performance. Therefore, we concluded that sleep deprivation may not affect the startle response and underlie delays in the reticulospinal system.
Along with aging, sleep deprivation is correlated with learning deficits. Research has shown that a lack of sleep negatively impacts motor skill learning and consolidation. Since there is a link between sleep and learning, as well as learning and the reticulospinal system, these observations raise the question: does sleep deprivation underlie reticulospinal delays? We hypothesized that sleep deprivation was correlated to a slower startle response, indicating a delayed reticulospinal system. Our objectives were to observe the impact of sleep deprivation on 1) the startle response (characterized by muscle onset latency and percentage of startle responses elicited) and 2) functional performance (to determine whether subjects were sufficiently sleep deprived).
21 young adults participated in two experimental sessions: one control session (8-10 hour time in bed opportunity for at least 3 nights prior) and one sleep deprivation session (0 hour time in bed opportunity for one night prior). The same protocol was conducted during each session. First, subjects were randomly exposed to 15 loud, startling acoustic stimuli of 120 dB. Electromyography (EMG) data measured muscle activity from the left and right sternocleidomastoid (LSCM and RSCM), biceps brachii, and triceps brachii. To assess functional performance, cognitive, balance, and motor tests were also administered. The EMG data were analyzed in MATLAB. A generalized linear mixed model was performed on LSCM and RSCM onset latencies. Paired t-tests were performed on the percentage of startle responses elicited and functional performance metrics. A p-value of less than 0.05 indicated significance.
Thirteen out of 21 participants displayed at least one startle response during their control and sleep deprived sessions and were further analyzed. No differences were found in onset latency (RSCM: control = 75.87 ± 21.94ms, sleep deprived = 82.06 ± 27.47ms; LSCM: control = 79.53 ± 17.85ms, sleep deprived = 78.48 ± 20.75ms) and percentage of startle responses elicited (control = 84.10 ± 15.53%; sleep deprived = 83.59 ± 18.58%) between the two sessions. However, significant differences were observed in reaction time, TUG with Dual time, and average balance time with the right leg up. Our data did not support our hypothesis; no significant differences were seen between subjects’ startle responses during the control and sleep deprived sessions. However, sleep deprivation was indicated with declines were observed in functional performance. Therefore, we concluded that sleep deprivation may not affect the startle response and underlie delays in the reticulospinal system.
ContributorsGopalakrishnan, Smita (Author) / Honeycutt, Claire (Thesis director) / Petrov, Megan (Committee member) / Harrington Bioengineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
For this creative project, the student's overarching objective was to establish a signature dish and to learn how to cook. She acquired a cookbook fit for novice cooks, "Eat What You Love" by Marlene Koch, which focused on healthy eating through the reduction of sugar and fat. The student completed thirty recipes including two appetizers, five breakfast entrees, five lunch entrees, twelve dinner entrees, and six desserts. Her culinary ventures were then detailed through a blog site the student had created. Blog posts included a brief description primarily of the portion size, a nutritional analysis of the recipe, enjoyable aspects of the dish, whether something went wrong, what was learned from creating the dish, as well as a photograph of the prepared dish. A large element of this project focused upon food photography and obtaining images that made the created dish look appealing. It was found that the best images were taken in natural lighting with good compositions and pops of color. In order to gain readership, the student developed an Instagram account where she would post images of the food and provide links to her blog entries and recipes. Through this means, she was able to obtain over 100 followers to her blog. In addition to learning how to cook, the student sought out to understand components of a healthy diet and how each nutrient contributes to an individual health. This objective is detailed throughout the course of the paper as well as several other objectives. The student also studied how social media has impacted the way in which we share food and our knowledge of food. Additionally in this paper, the student evaluated the evolution of the USDA Dietary Guidelines and their effectiveness over time. From this project, the student walked away with new knowledge about nutritional eating and lifestyle habits that she will retain for years to come. She hopes that this project will encourage other students to take on their own culinary adventure.
ContributorsMarley, Allison Marie (Author) / Levinson, Simin (Thesis director) / Martinelli, Sarah (Committee member) / Harrington Bioengineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Globalization has necessitated cross-cultural communication among groups and individuals alike, often beginning with management. This project considers how the degree of Power Distance, one of Hofstede's cultural dimensions, may change over time as a result of exposure to different, and often opposing, cultural values. We conducted two surveys 12 weeks apart collecting an initial sample of 317 and retaining a secondary sample of 142. We gathered data on demographics, education, on-campus involvement, cultural dimensions, and levels of comfort with different cultures. Through data analysis we found that as a result of exposure to different cultural values, cultural groups adjust their own views on Power Distance. Specifically, we found that the Anglo cultural group and the international cultural subgroup that had been living in the U.S. for less than 10 years trended towards each other on levels of Power Distance. We also found that international female students adjusted to new cultural surroundings faster than their male counterparts. These discoveries have led us to conclusions regarding the influence of awareness of other cultural values through international exposure, specifically that of Power Distance, as well as male versus female differences in cultural adjustment, and how differing views might trend towards each other with recurrent interaction.
ContributorsNiren, Alyssa (Co-author) / Davidson, Rachel (Co-author) / Lee, Peggy (Thesis director) / Zhang, Zhen (Committee member) / Department of Supply Chain Management (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of International Letters and Cultures (Contributor) / Department of Information Systems (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Misinformation, defined as incorrect or misleading information, has been around since the beginning of time. However, the rise of technology and widespread use of social media has allowed misinformation to evolve and gain more traction. This study aims to examine health and political misinformation within the contexts of the COVID-19 pandemic and the 2020 U.S. Presidential Election. Utilizing samples of misinformation from the 45th president of the United States, I analyzed the levels of engagement that this misinformation received on the social media platform X, formerly known as Twitter. I also examined how various Google search query trends changed over time in response to this misinformation. Then, I categorized the data into misleading statistics, misrepresentations of opinions as facts, or completely false content. Lastly, I looked into the physical responses that resulted from the spread of such misinformation. My findings of this case study showed that misinformation received significantly more attention than other social media posts, as evidenced by increased Google searches related to the topics and higher levels of likes and retweets on misinformative Tweets during the specified periods. Furthermore, the former president employed all three types of misinformation, with misleading statistics most prevalent in the health misinformation sample and misrepresentations of opinions as facts most prevalent in the political misinformation sample. The repercussions of this misinformation encompassed individuals ingesting unsafe products, decreased trust in the electoral process, and a violent insurrection at the U.S. Capitol. Despite the existing research in this field, there remains much more to be uncovered regarding the vast amount of misinformation circulating on the Internet.
ContributorsShah, Sona (Author) / Boghrati, Reihane (Thesis director) / Simeone, Michael (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Information Systems (Contributor)
Created2023-12
Description
The specific and concrete motives to use social media are likely to grow as social media multiplies. Study 1 was conducted to identify the hierarchical structure of motives of using social media that explain a wide range of previously identified motives from Uses and Gratification theory (Katz & Blumler, 1974). College students (N = 948) completed previously established measures of social media motives and a range of social media behaviors. Findings revealed two higher-order factors: (1) “Instrumental” motivation captures motives to achieve a specific aim by using social media (e.g., for information, self-expression, social interaction) and these motives are positively correlated with private self-conscious on social media, and (2) “Experiential” motivation captures motives to escape from reality by using social media (e.g., for entertainment, passing time, convenience) and these motives are positively correlated with social media addiction. Study 2 aimed to determine if the higher order structure, “Instrumental” and “Experiential”, emerge across a wider range of motivations to use social media. College students (N = 216) completed a survey on the 7 social media motivations from study 1 and 16 more social media motivations found in the two pilot studies. Findings from the confirmatory factor analysis revealed the 23-factor model was the better predictor to use social media than the higher order factors. The predictive validity of the higher order factors suggests “Instrumental” motivation is the better predictor of personality and “Experiential” motivation is positively correlated with social media addiction.
ContributorsBergh, Ashlan (Author) / Kwan, Virginia (Thesis director) / Doane, Leah (Committee member) / Levy, Roy (Committee member) / Bunker, Cameron (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Psychology (Contributor)
Created2024-05
Description
Background: As the growth of social media platforms continues, the use of the constantly increasing amount of freely available, user-generated data they receive becomes of great importance. One apparent use of this content is public health surveillance; such as for increasing understanding of substance abuse. In this study, Facebook was used to monitor nicotine addiction through the public support groups users can join to aid their quitting process. Objective: The main objective of this project was to gain a better understanding of the mechanisms of nicotine addiction online and provide content analysis of Facebook posts obtained from "quit smoking" support groups. Methods: Using the Facebook Application Programming Interface (API) for Python, a sample of 9,970 posts were collected in October 2015. Information regarding the user's name and the number of likes and comments they received on their post were also included. The posts crawled were then manually classified by one annotator into one of three categories: positive, negative, and neutral. Where positive posts are those that describe current quits, negative posts are those that discuss relapsing, and neutral posts are those that were not be used to train the classifiers, which include posts where users have yet to attempt a quit, ads, random questions, etc. For this project, the performance of two machine learning algorithms on a corpus of manually labeled Facebook posts were compared. The classification goal was to test the plausibility of creating a natural language processing machine learning classifier which could be used to distinguish between relapse (labeled negative) and quitting success (labeled positive) posts from a set of smoking related posts. Results: From the corpus of 9,970 posts that were manually labeled: 6,254 (62.7%) were labeled positive, 1,249 (12.5%) were labeled negative, and 2467 (24.8%) were labeled neutral. Since the posts labeled neutral are those which are irrelevant to the classification task, 7,503 posts were used to train the classifiers: 83.4% positive and 16.6% negative. The SVM classifier was 84.1% accurate and 84.1% precise, had a recall of 1, and an F-score of 0.914. The MNB classifier was 82.8% accurate and 82.8% precise, had a recall of 1, and an F-score of 0.906. Conclusions: From the Facebook surveillance results, a small peak is given into the behavior of those looking to quit smoking. Ultimately, what makes Facebook a great tool for public health surveillance is that it has an extremely large and diverse user base with information that is easily obtainable. This, and the fact that so many people are actually willing to use Facebook support groups to aid their quitting processes demonstrates that it can be used to learn a lot about quitting and smoking behavior.
ContributorsMolina, Daniel Antonio (Author) / Li, Baoxin (Thesis director) / Tian, Qiongjie (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This project is a small scale investigation of various factors concerning "Flow" in Piano Performance. "Flow" is the sweet spot where ability and challenge are about equal, and usually high (Csikszentmihalyi 1990). Piano performance is a state of playing the piano with some intent to perform. In this case, the intent is to create something new or improvise. Improvisation is one form of expressive creativity on the piano stemming from some knowledge and extrapolation upon that knowledge (Nachmanovitch 82). Creativity is essential to the development of new music, and though extensive literature exists on both creativity and music independently, there is a gap in research regarding links between the two (Macdonald et al. 2006). This project aims to address some of these gaps by working with piano players and non-musicians of various technical skill levels to examine the "Flow" state in improvisation as well as potential factors affecting creative performance. Factors such as listening, self-confidence, frustration in methodology, and meditation practices were found to correlate positively with technical skill. Participants who completed the practice program were able to reconstruct challenges and enter the "Flow" state in improvisation regardless of high or low technical scores.
ContributorsDorr, Alexander Nathan (Author) / Kaplan, Robert (Thesis director) / Parker, John (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05