Oral History Interview: Samuel B. Chilton

Samuel B. Chilton, a member of the prominent Charleston family who owned the Charleston Gazette, has spent a lifetime in the center of West Virginia\u27s capitol. A knowledgeable person, his interview is lively and spicy, full of some rather risque anecdotes. Mr. Chilton and his interviewers discuss the development of St. Albans and Charleston, the West Virginia state government, the Roosevelts and the Rockefellers in West Virginia, sports, horse and dog racing, and prostitution. More personally, Mr. Chilton also discusses his childhood, family and friends.https://mds.marshall.edu/oral_history/1139/thumbnail.jp

Challenges and Opportunities for the Design of Smart Speakers

Advances in voice technology and voice user interfaces (VUIs) -- such as Alexa, Siri, and Google Home -- have opened up the potential for many new types of interaction. However, despite the potential of these devices reflected by the growing market and body of VUI research, there is a lingering sense that the technology is still underused. In this paper, we conducted a systematic literature review of 35 papers to identify and synthesize 127 VUI design guidelines into five themes. Additionally, we conducted semi-structured interviews with 15 smart speaker users to understand their use and non-use of the technology. From the interviews, we distill four design challenges that contribute the most to non-use. Based on their (non-)use, we identify four opportunity spaces for designers to explore such as focusing on information support while multitasking (cooking, driving, childcare, etc), incorporating users' mental models for smart speakers, and integrating calm design principles.Comment: 15 pages, 7 figure

PopNet: a Pop Culture Knowledge Association Network for Supporting Creative Connections

Pop culture is a pervasive and important aspect of communication and self-expression. When people wish to communicate using pop culture references, they need to find connections between their message and the things, people, location and actions of a movie, tv series, or other pop culture domain. However, finding an appropriate match from memory is challenging and search engines are not specific enough to the task. Often domain-specific knowledge graphs provide the structure, specificity and search capabilities that people need. We introduce PopNet - a Pop Culture Knowledge Association Network automatically created from plain text using state-of-the art NLP methods to extract entities and actions from text summaries of movies and tv shows. The interface allows people to browse and search the entries to find connections. We conduct a study showing that this system is accurate and helpful for finding multiple connections between a message and a pop culture domain

Design Guidelines for Prompt Engineering Text-to-Image Generative Models

Text-to-image generative models are a new and powerful way to generate visual artwork. However, the open-ended nature of text as interaction is double-edged; while users can input anything and have access to an infinite range of generations, they also must engage in brute-force trial and error with the text prompt when the result quality is poor. We conduct a study exploring what prompt keywords and model hyperparameters can help produce coherent outputs. In particular, we study prompts structured to include subject and style keywords and investigate success and failure modes of these prompts. Our evaluation of 5493 generations over the course of five experiments spans 51 abstract and concrete subjects as well as 51 abstract and figurative styles. From this evaluation, we present design guidelines that can help people produce better outcomes from text-to-image generative models

Nondisclosure as a Contract Remedy: Explaining the Advance-notice Puzzle

Prior theoretical work predicts an underprovision of advance-notice contracts stemming from their enforcement costs. In the present model, it is rather the fundamental inability of workers to alienate their right to quit taken in conjunction with parameters central to job separation decisions that jointly determine the mix of notice and no-notice contracts observed in equilibrium. Not all equilibrium contracts are efficient, but there is no underprovision of notice. Mandating notice cannot improve on joint value and indeed may reduce it. Furthermore, although a mandate can be merely redistributive, there are cases in which it harms all parties

Self-enforcing Union Contracts: Efficient Investment and Employment

Baldwin (1983) asks whether a firm can credibly deter union opportunism that would lead to underinvestment. We show that the punishments Baldwin considers credible exclude tougher threats that only have the appearance of being self-destructive. If the firm\u27s discount factor is sufficiently close to one, union opportunism can indeed be deterred. Moreover, we show that given the firm\u27s discount factor, a shorter lifetime of capital does not necessarily promote efficiency. Although, as Baldwin emphasizes, it does enhance the firm\u27s ability to punish union opportunism, it also creates adverse incentives for the firm to engage in opportunistic employment cuts

Eliciting Topic Hierarchies from Large Language Models

Finding topics to write about can be a mentally demanding process. However, topic hierarchies can help writers explore topics of varying levels of specificity. In this paper, we use large language models (LLMs) to help construct topic hierarchies. Although LLMs have access to such knowledge, it can be difficult to elicit due to issues of specificity, scope, and repetition. We designed and tested three different prompting techniques to find one that maximized accuracy. We found that prepending the general topic area to a prompt yielded the most accurate results with 85% accuracy. We discuss applications of this research including STEM writing, education, and content creation.Comment: 4 pages, 4 figure

Space capsule Patent

Manned space capsule configuration for orbital flight and atmospheric reentr