This paper explores the artistic theories of social practice and examines the artwork of Michael Rakowitz, Carmen Loch and Ernesto Neto to observe the ways artists can expand traditional understandings of art. Looking at art therapy and the ways that participation in art can make art more accessible and functional, this paper also outlines a project which functions to bring comfort to participants and expand boundaries of art through individually shaped personal experiences.

This thesis presents a study of current research on effective teaching strategies in art beyond the European tradition content area of the Advanced Placement Art History (APAH) examination administered by the College Board. Three Advanced Placement Art History teachers participated in this study. Each teacher demonstrated successful and effective strategies in her APAH program. The criteria for selection required that each participant taught the class for three years (2001-4) and their students scored higher than the national average as published by the College Board. Each teacher discussed with the author how they teach the art beyond the European tradition content area. Presented in this study are teaching strategies each participant used in the classroom. Emphasis is placed on effective strategies that ask the students to participate in their learning.

No description available.

This thesis is a description and analysis of work that I produced during my Graduate studies at The University of New Orleans. The central theme of these work is the end of the world. Through prints, sculpture and painting I explore this idea.

Thesis (M.S.V.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1980. / Includes bibliographical references. / Three-dimensional, six degree of freedom input is explored in an interactive computer graphics environment. A particular device, the ROPAMS of Polhemus Navigational Sciences, Inc. is an accurate, unencumbering device based on electromagnetics. It is evaluated as a three-dimensional input device, and such input itself is evaluated for appropriateness and interactivity in a graphics environment. Emphasis is placed on human factors (pointing, body position) as a mode of interactivity. / by Christopher Schmandt. / Thesis (M.S.V.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1980.

Thesis advisor: Kenneth A. Lachlan / The enormous growth in the last ten years, specifically in the field of 24-hour, all-access media, has caused several things; the rise of technology may be one of the greatest contributors, and it may best be demonstrated by the rise and use of interactive media in recent years. In traditional forms, the media has been relatively successful in creating an agenda of topics which, while not necessarily telling people what to think, they do create an arena for discussion. Interactive, all-access control, though, has changed how people consume media, and this study attempts to see if it has affected the agenda-setting ability of media. Recent media coverage of the correlation between Baseball and Steroids has not swayed public opinion away from other issues. This study will attempt to understand how changes in media consumption affect the basic tenets of media theory. / Thesis (BA) — Boston College, 2006. / Submitted to: Boston College. College of Arts and Sciences. / Discipline: Communication. / Discipline: College Honors Program.

<p>Animations are playing an important role in today’s user interface design. To investigate the animation usage on smart phone interfaces, in this study, I inspected 428 animation videos from five smart phone apps to answer the question: “How does the animation change on interfaces from 2008 to 2017?”. By comparing the parameters such as frequency and duration based on the context from the historical perspective, the results can provide insights for both the HCI and UX community. The findings on the key markers laid a foundation for researcher to understand the animation use specially on interfaces in the industry overtime, also providing insights for practitioners to improve the user experience by looking into the animation use. </p>

by Wong Man-yee, Wong Yuen-tin. / Title also in Chinese. / Summary in Chinese. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1980. / Includes bibliographical references.

This thesis is about interactive music, a musical experience that involves participation from the listener but is itself a composed piece of music and the Interactive Music Systems (IMSs) that create these experiences, such as a sound installation that responds to the movements of its audience. Some IMSs are brief marvels commanding only a few seconds of attention. Others engage those who participate for considerably longer. Our goal here is to understand why this difference arises and how we may then apply this understanding to create better interactive music experiences. I present a refined perspective of interactive music as an exploration into the relationship between action and sound. Reasoning about IMSs in terms of how they are subjectively perceived by a participant, I argue that fundamental to creating a captivating interactive music is the evolving cognitive process of making sense of a system through interaction. I present two new theoretical tools that provide complementary contributions to our understanding of this process. The first, the Emerging Structures model, analyses how a participant's evolving understanding of a system's behaviour engages and motivates continued involvement. The second, a framework of Perceived Agency, refines the notion of `creative control' to provide a better understanding of how the norms of music establish expectations of how skill will be demonstrated. I develop and test these tools through three practical projects: a wearable musical instrument for dancers created in collaboration with an artist, a controlled user study investigating the effects of constraining the functionality of a screen-based IMS, and an interactive sound installation that may only be explored through coordinated movement with another participant. This final work is evaluated formally through discourse analysis. Finally, I show how these tools may inform our understanding of an oft-cited goal within the field: conversational interaction with an interactive music system.

The ultimate goal of any visual analytic task is to make sense of the data and gain insights. Unfortunately, the process of discovering useful information is becoming more challenging nowadays due to the growing data scale. Particularly, the human cognitive capabilities remain constant whereas the scale and complexity of data are not. Meanwhile, visual analytics largely relies on human analytic in the loop which imposes challenge to traditional human-driven workflow. It is almost impossible to show every aspect of details to the user while diving into local region of the data to explain phenomenons hidden in the data. For example, while exploring the data subsets, it is always important to determine which partitions of data contain more important information. Also, determining the subset of features is vital before further doing other analysis. Furthermore, modeling on these subsets of data locally can yield great finding but also introduces bias. In this work, a model driven visual analytic framework is proposed to help identify interesting local patterns from the above three aspects. This dissertation work aims to tackle these subproblems in the following three topics: model-driven data exploration, model-driven feature analysis and local model diagnosis. First, the model-driven data exploration focus on the problem of modeling subset of data to identify the co-movement of time-series data within certain subset time partitions, which is an important application in a number of domains such as medical science, finance, business and engineering. Second, the model-driven feature analysis is to discover the important subset of interesting features while analyzing local feature similarities. Within the financial risk dataset collected by domain expert, we discover that the feature correlation among different data partitions (i.e., small and large companies) are very different. Third, local model diagnosis provides a tool to identify interesting local regression models at local regions of the data space which makes it possible for the analysts to model the whole data space with a set of local models while knowing the strength and weakness of them. The three tools provide an integrated solution for identifying interesting patterns within local subsets of data.