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How Do We Represent Possibilities In The Visual World? — An Analysis Of Amodal Completion Under Cognitive And Perceptual Load., Camden Parker
How Do We Represent Possibilities In The Visual World? — An Analysis Of Amodal Completion Under Cognitive And Perceptual Load., Camden Parker
Dartmouth College Undergraduate Theses
How do cognitive and perceptual load affect the way we experience the world when the visual scene is incomplete or partially occluded? The present study seeks to answer this question with a series of experiments based on primed matching, amodal completion, and load theory. In Experiment 1, we replicated results that amodal completion is automatic and supports multiple possible completions. In Experiment 2, we found that working memory load decreases the priming effects of both partially occluded and fully visible shapes. In Experiment 3, we found that perceptual load decreases the priming effect of partially occluded shapes more so than …
Towards A Computational Model Of Narrative On Social Media, Anne Bailey
Towards A Computational Model Of Narrative On Social Media, Anne Bailey
Dartmouth College Undergraduate Theses
This thesis describes a variety of approaches to developing a computational model of narrative on social media. Our goal is to use such a narrative model to identify efforts to manipulate public opinion on social media platforms like Twitter. We present a model in which narratives in a collection of tweets are represented as a graph. Elements from each tweet that are relevant to potential narratives are made into nodes in the graph; for this thesis, we populate graph nodes with tweets’ authors, hashtags, named entities (people, locations, organizations, etc.,), and moral foundations (central moral values framing the discussion). Two …
Machine Learning And The Network Analysis Of Ethereum Trading Data, Santosh Sivakumar
Machine Learning And The Network Analysis Of Ethereum Trading Data, Santosh Sivakumar
Dartmouth College Undergraduate Theses
Since their conception, cryptocurrencies have captured the public interest, motivating a growing body of research aimed at exploring blockchain-based transactions. This said, little work has been done to draw conclusions from transaction patterns, particularly in the realm of predicting cryptocurrency price movements. Moreover, research in the cryptocurrency sphere largely focuses on Bitcoin, paying little attention to Ethereum, Bitcoin's second-in-line with respect to market capitalization. In this paper, we construct hourly networks for a year of Ethereum transactions, using computed graph metrics as features in a series of machine learning models. We find that regression-based approaches to predicting Ether prices/price deltas …
Designing Narrative-Based Interfaces For Collective Action: A Case Study Using Amazon, Climate Change, And Consumer Behavior, Catherine Parnell
Designing Narrative-Based Interfaces For Collective Action: A Case Study Using Amazon, Climate Change, And Consumer Behavior, Catherine Parnell
Dartmouth College Undergraduate Theses
Climate change is the most pressing issue facing future generations. Amongst expanses of the population there is a lack of collective action on environmental issues, as there is a large gap between awareness and behavior change. This study suggests persuasive design that utilizes a narrative framing as a solution to reduce barriers to engaging in issues of collective action. Through extensive need-finding studies to understand target users, this thesis uses online-shopping via Amazon as a context for arguing that narrative can support actionable change in behavior. The technical artifact resulting from this research is a developed chrome extension and web …
Torsh: Obfuscating Consumer Internet-Of-Things Traffic With A Collaborative Smart-Home Router Network, Adam Vandenbussche
Torsh: Obfuscating Consumer Internet-Of-Things Traffic With A Collaborative Smart-Home Router Network, Adam Vandenbussche
Dartmouth College Undergraduate Theses
When consumers install Internet-connected "smart devices" in their homes, metadata arising from the communications between these devices and their cloud-based service providers enables adversaries privy to this traffic to profile users, even when adequate encryption is used. Internet service providers (ISPs) are one potential adversary privy to users’ incom- ing and outgoing Internet traffic and either currently use this insight to assemble and sell consumer advertising profiles or may in the future do so. With existing defenses against such profiling falling short of meeting user preferences and abilities, there is a need for a novel solution that empowers consumers to …
Possibility Is Not A Luxury: The Role Of Identity In Representations Of Possibility, Hannah M. Lebaron
Possibility Is Not A Luxury: The Role Of Identity In Representations Of Possibility, Hannah M. Lebaron
Dartmouth College Undergraduate Theses
In what ways are our expectations of others and their behaviors limited by the ways they are identified? Broadly, this project asks how identity traits are considered across judgments about which social roles people can assume. This work is an interdisciplinary project that exists within the fields of both Cognitive Science and Women’s, Gender, and Sexuality Studies. As such, the first chapter explores the central issues of identity conception from the perspective of feminist theory, including a discussion of category destabilization, intersectionality, and knowledge production in the context of feminist science studies. 4 empirical studies were launched with methods informed …
Probing Nlp Conceptual Relatedness Judgments Through The Word-Based Board Game Codenames, Tracey Mills
Probing Nlp Conceptual Relatedness Judgments Through The Word-Based Board Game Codenames, Tracey Mills
Dartmouth College Undergraduate Theses
In this paper I evaluate the ability of different Natural Language Processing (NLP)
techniques to make human-like word relatedness judgements in a variant of the word-based board game Codenames. I analyze a variety of statistical and knowledge based approaches, combinations of these, and techniques for incorporating the wider game context into relatedness judgements. While no approach explored here reaches human performance, simple word embedding based approaches incorporate a surprising amount of the useful information captured by other techniques. I attempt to characterize the limitations of these approaches in relation to human game play, although differences are largely not systematic. Finally, …
Destabilizing Terrorist Networks, John Keane
Destabilizing Terrorist Networks, John Keane
Dartmouth College Undergraduate Theses
Terrorism is a threat to global security and instills fear in the lives of people across the world. Over the past decades, billions in \$USD have been invested in counter-terrorism efforts. One approach to counter-terrorism is to destabilize terrorist organizations such that they are less effective at carrying out attacks. Previous work has investigated how to best proceed in this direction, such as which terrorists to target. Terrorist organizations have also been modeled as networks, where nodes can represent factions and/or terrorists. Research has been done to understand the network dynamics and link the structure of such networks to their …