This growing collection consists of scholarly works authored by ASU-affiliated faculty, staff, and community members, and it contains many open access articles. ASU-affiliated authors are encouraged to Share Your Work in KEEP.

Displaying 1 - 4 of 4
Filtering by

Clear all filters

Description

These videos depict two miscible liquids with different densities and viscosities coming into contact. This study explores how a swellable test pad can be deployed for measuring urea in saliva by partially prefilling the pad with a miscible solution of greater viscosity and density. The resultant Korteweg stresses and viscous

These videos depict two miscible liquids with different densities and viscosities coming into contact. This study explores how a swellable test pad can be deployed for measuring urea in saliva by partially prefilling the pad with a miscible solution of greater viscosity and density. The resultant Korteweg stresses and viscous fingering patterns are analyzed using solutions with added food color through video analysis and image processing. Image analysis is simplified using the saturation channel after converting RGB image sequences to HSB. These videos are conjunction to an article submission to MDPI Bioengineering journal as supplementary files to enhance the breadth and depth of the content therein.

ContributorsClingan, H. (Author) / Rusk, D. (Author) / Smith, K. (Author) / Garcia, A. (Author)
Created2018-03-15
162284-Thumbnail Image.png
Description

Human team members show a remarkable ability to infer the state of their partners and anticipate their needs and actions. Prior research demonstrates that an artificial system can make some predictions accurately concerning artificial agents. This study investigated whether an artificial system could generate a robust Theory of Mind of

Human team members show a remarkable ability to infer the state of their partners and anticipate their needs and actions. Prior research demonstrates that an artificial system can make some predictions accurately concerning artificial agents. This study investigated whether an artificial system could generate a robust Theory of Mind of human teammates. An urban search and rescue (USAR) task environment was developed to elicit human teamwork and evaluate inference and prediction about team members by software agents and humans. The task varied team members’ roles and skills, types of task synchronization and interdependence, task risk and reward, completeness of mission planning, and information asymmetry. The task was implemented in MinecraftTM and applied in a study of 64 teams, each with three remotely distributed members. An evaluation of six Artificial Social Intelligences (ASI) and several human observers addressed the accuracy with which each predicted team performance, inferred experimentally manipulated knowledge of team members, and predicted member actions. All agents performed above chance; humans slightly outperformed ASI agents on some tasks and significantly outperformed ASI agents on others; no one ASI agent reliably outperformed the others; and the accuracy of ASI agents and human observers improved rapidly though modestly during the brief trials.

ContributorsFreeman, Jared T. (Author) / Huang, Lixiao (Author) / Woods, Matt (Author) / Cauffman, Stephen J. (Author)
Created2021-11-04
190-Thumbnail Image.png
Description

Attitudes and habits are extremely resistant to change, but a disruption of the magnitude of the COVID-19 pandemic has the potential to bring long-term, massive societal changes. During the pandemic, people are being compelled to experience new ways of interacting, working, learning, shopping, traveling, and eating meals. Going forward, a

Attitudes and habits are extremely resistant to change, but a disruption of the magnitude of the COVID-19 pandemic has the potential to bring long-term, massive societal changes. During the pandemic, people are being compelled to experience new ways of interacting, working, learning, shopping, traveling, and eating meals. Going forward, a critical question is whether these experiences will result in changed behaviors and preferences in the long term. This paper presents initial findings on the likelihood of long-term changes in telework, daily travel, restaurant patronage, and air travel based on survey data collected from adults in the United States in Spring 2020. These data suggest that a sizable fraction of the increase in telework and decreases in both business air travel and restaurant patronage are likely here to stay. As for daily travel modes, public transit may not fully recover its pre-pandemic ridership levels, but many of our respondents are planning to bike and walk more than they used to. These data reflect the responses of a sample that is higher income and more highly educated than the US population. The response of these particular groups to the COVID-19 pandemic is perhaps especially important to understand, however, because their consumption patterns give them a large influence on many sectors of the economy.

Created2020-09-03
128158-Thumbnail Image.png
Description

Jane Austen’s beloved naval brother, Charles Austen (1779–1852), had a significant impact on her literary career.We find probable traces of him in the male characters appearing in Mansfield Park (1814) and Persuasion (1818), and he is said to have offered naval vocabulary to help his sister revise the second edition

Jane Austen’s beloved naval brother, Charles Austen (1779–1852), had a significant impact on her literary career.We find probable traces of him in the male characters appearing in Mansfield Park (1814) and Persuasion (1818), and he is said to have offered naval vocabulary to help his sister revise the second edition of Mansfield Park (1816). In addition to his impact during Jane’s lifetime (1775–1817), Charles played a role in sustaining her posthumous celebrity, modest as it was at first. Two previously unpublished brief letters by him—and references to him in other correspondence—offer an opportunity to speculate about his role in supporting his late sister’s literary reputation.

ContributorsKnezevich, Ruth (Author) / Looser, Devoney (Author)
Created2015