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Genre: Art--Study and teaching (Secondary)--Arizona.
Genre: Conference papers and proceedings
Genre: Databases

Finding provenance data in social media

Description

A statement appearing in social media provides a very significant challenge for determining the provenance of the statement. Provenance describes the origin, custody, and ownership of something. Most statements appearing in social media are not published with corresponding provenance data. However, the same characteristics that make the social media environment challenging, including the massive amounts of data available, large numbers of users, and a highly dynamic environment, provide unique and untapped opportunities for solving the provenance problem for social media. Current approaches for tracking provenance data do not scale for online social media and consequently there is a gap in provenance methodologies and technologies providing exciting research opportunities. The guiding vision is the use of social media information itself to realize a useful amount of provenance data for information in social media. This departs from traditional approaches for data provenance which rely on a central store of provenance information. The contemporary online social media environment is an enormous and constantly updated "central store" that can be mined for provenance information that is not readily made available to the average social media user. This research introduces an approach and builds a foundation aimed at realizing a provenance data capability for social media users that is not accessible today.

ContributorsBarbier, Geoffrey P (Author) / Liu, Huan (Thesis advisor) / Bell, Herbert (Committee member) / Li, Baoxin (Committee member) / Sen, Arunabha (Committee member) / Arizona State University (Publisher)

Created2011

A voluntary summer art course for at-risk students attending Job Corps: a qualitative study

Description

Many alternative schools for at-risk students do not offer art classes to their students. Phoenix Job Corps is one of those schools. I conducted a qualitative study about a voluntary summer art course at Phoenix Job Corps, a vocational school for at-risk students. I had thirteen student volunteers, eight of them refugees from other countries. All the participants created a narrative painting about something in their lives. The purpose of this study was to examine this voluntary summer art course and to determine its usefulness as a beneficial tool to the lives of the students. This included looking at participants' narrative paintings to determine common themes or subjects, finding out their opinions on whether or not their school should offer an art course, their willingness to share their stories, determining whether they think it's important for others to see their work, and lastly concluding what artwork they like best and why. I found that the majority of students do want an art class offered at their schools, and all but one participant was more than willing to share their story about their narrative painting. Common themes amongst their paintings were family, a specific memory or event, or their present and future lives. I found similar subject matter in their paintings such as animals, houses or huts, and people. My research also unveiled a large difference in the refugee students' paintings as opposed to the other United States participants. The findings also suggest that participants judged other work based on meaning more so than aesthetics. This study explores, in detail, the narrative art and experiences of a very diverse group of students.

ContributorsSchaller, Kimberly (Author) / Young, Bernard (Thesis advisor) / Erickson, Mary (Committee member) / Stokrocki, Mary (Committee member) / Arizona State University (Publisher)

Created2012

Evaluating artificial social intelligence in an urban search and rescue task environment

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 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