Communication Technology and New Media Commons^™

Prosody-Based Query-By-Example Spoken Utterance Retrieval, Steven D. Werner, Nigel G. Ward

COURI Symposium Abstracts, Summer 2012

Current spoken dialogue retrieval systems are almost entirely lexically based, using automatic transcription by imperfect speech recognition technology. Once audio is reduced to text, little more than existing text search methods are used to retrieve results. However, spoken dialogue contains rich latent prosodic information about dialogue activities - such as agreeing, arguing, deciding, planning, storytelling, showing surprise - and this extra information can often be relevant to the searchers aims. Searching for similar speech acts rather then similar words enables similar contextual results, returning points where the speaker had the same sentiment during a topic. Previous research yielded 76 dimensions …

Technology Can Be Blessing, Curse To Students, Alexandra Pittman

UCF Forum

Many college students seem to have forgotten what a university is for because they have become lost within their own technology.

The Latent Maximum Entropy Principle, Shaojun Wang, Dale Schuurmans, Yunxin Zhao

Kno.e.sis Publications

We present an extension to Jaynes’ maximum entropy principle that incorporates latent variables. The principle of latent maximum entropy we propose is different from both Jaynes’ maximum entropy principle and maximum likelihood estimation, but can yield better estimates in the presence of hidden variables and limited training data. We first show that solving for a latent maximum entropy model poses a hard nonlinear constrained optimization problem in general. However, we then show that feasible solutions to this problem can be obtained efficiently for the special case of log-linear models---which forms the basis for an efficient approximation to the latent maximum …

What Kind Of #Communication Is Twitter? A Psycholinguistic Perspective On Communication In Twitter For The Purpose Of Emergency Coordination, Hemant Purohit, Andrew Hampton, Valerie L. Shalin, Amit P. Sheth, John Flach

Kno.e.sis Publications

The present research aims to detect coordinated citizen response within social media traffic to assist emergency response. We use domain-independent linguistic properties as the first step in narrowing the candidate set of messages for domain-dependent and computationally intensive analysis.

A Screen-Based World: Finding The Real In The Hyper-Real, Andrew Root

Faculty Publications

What is real? In our media-filled world, have we mistaken the image for the real thing? The church is called to proclaim the real, not by rejecting the use of sign and image, but by affirming those that speak the truth of our existence.

Communication And Media Studies Newsletter 2012 Summer, Communications & Media Studies

Communication and Media Studies Newsletter

No abstract provided.

Exploring The Impact Of Knowledge And Social Environment On Influenza Prevention And Transmission In Midwestern United States High School Students, William L. Romine, Tanvi Banerjee, William S. Barrow, William R. Folk

Kno.e.sis Publications

We used data from a convenience sample of 410 Midwestern United States students from six secondary schools to develop parsimonious models for explaining and predicting precautions and illness related to influenza. Scores for knowledge and perceptions were obtained using two-parameter Item Response Theory (IRT) models. Relationships between outcome variables and predictors were verified using Pearson and Spearman correlations, and nested [student within school] fixed effects multinomial logistic regression models were specified from these using Akaike’s Information Criterion (AIC). Neural network models were then formulated as classifiers using 10-fold cross validation to predict precautions and illness. Perceived barriers against taking precautions …

Examining Mobile Technology In Higher Education: Handheld Devices In And Out Of The Classroom, Julie Mueller, Eileen Wood, Domenica De Pasquale, Ruth Cruikshank

Education Faculty Publications

This study followed an innovative introduction of mobile technology (i.e., BlackBerry® devices) to a graduate level business program and documented students’ use of the technology from the time students received the devices to the end of their first term of study. Students found the BlackBerry® device easy to use, and were optimistic regarding its potential role as an instructional tool. Students were self-directed in their use of the devices and found ways to use them within and outside of their classroom even when specific uses were not provided by instructors. Students used their devices most frequently for communication purposes outside …

Attitudes Toward And Behavioral Intentions To Adopt Mobile Marketing: Comparisons Of Gen Y In The United States, France And China, Rebecca Wells, Catherine E. Kleshinski, Terence Lau

Management and Marketing Faculty Publications

The rapid global diffusion of mobile marketing makes it increasingly important to understand cross-­‐cultural consumer attitudes and behavioral intentions toward mobile marketing as a promotional channel. By building on the previously published research of Altuna and Konuk (2009), this work investigates the attitudes and behavioral intentions toward mobile marketing of Generation Y consumers in the United States, France, and China. Based on this analysis, Chinese Gen Y have the most positive attitude toward mobile marketing, and their overall attitude is significantly more positive than the attitudes of French and American Gen Y groups. While American Gen Y's behavioral intentions are …

Digital Immigrant Teacher Perceptions Of Social Media As It Influences The Affective And Cognitive Development Of Students: A Phenomenological Study, Robert Williams

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study is to describe how digital immigrant teachers perceive the influence of social media on the affective and cognitive development of students at three high schools in Alabama. As the prevalence of social technologies is increasing, educators must understand how it is affecting students in order to instruct students and utilize technologies in an effective manner. Thus, a phenomenological study should inform teacher practitioners on how to address concerns and issues associated with social media in order to positively influence the learning environment. Ten teachers were selected from one private and two public high …

Social Networking, Learning, And Civic Engagement: New Relationships Between Professors And Students, Public Administrators And Citizens, Angela M. Eikenberry

Public Administration Faculty Publications

Social networking is increasingly ubiquitous, and there is growing demand for professors and public administrators to use social networking to engage with students and citizens in new and more collaborative ways. However, using such tools effectively poses challenges for professors and public administrators. The focus of this paper is to explore the implications of using social networking for learning, professor-student relationships, and civic engagement. Using social networking applications in public affairs classrooms may provide an opportunity for professors to connect with students in new ways to enhance student empowerment and learning and enable students to learn how to more effectively …

Social And Technological Innovation In Teaching Public Affairs: Introduction To The Symposium, Thomas A. Bryer, Angela M. Eikenberry

Public Administration Faculty Publications

Technology can be defined as “the social, material, or cloud/cyberspace tools used to manipulate human behavior to achieve a specified objective.” In the classroom, teachers use a variety of technologies to elicit desired student response or output and ultimately to achieve a level of learning appropriate for particular students. For example, decisions to use a chalk/white board versus PowerPoint during a lecture are often made based on the nature of engagement desired with the students. Arranging seats or desks in a classroom in a lecture format, an open circle, or an open square generates different types of engagement among and …

Comparing The Success And Experiences Of Developmental Algebra I Students, Christy Lowery-Carter

Doctoral Dissertations and Projects

Students enrolled during the spring 2011 and summer 2011 semesters taking developmental Algebra I were invited to participate in a study. Students were required to complete a researcher-made pretest prior to instruction, complete the course over the semester, and complete an identical posttest at the end of the course. The online students voluntarily completed a researcher-made survey. An ANCOVA analysis, using the pretest scores as a covariate, showed a significant difference between the online and seated students, as the online students scored significantly higher. The survey showed online students tended to utilize the captured lectures, with a larger percentage of …

Iexplore: A Provenance-Based Application For Exploring Biomedical Knowledge, Vinh Nguyen, Olivier Bodenreider, Thomas Rindflesch, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Social Networking Among Irish 9-16 Year Olds, Brian O'Neill, Thuy Dinh

Reports

Social networking is a hugely popular and fast-growing online activity for young people in Ireland. In the EU Kids Online survey, while SNS use was not the most frequently mentioned online activity (‘watching video clips’ and ‘playing computer games’ were the most often cited items), it features across all age groups, and particularly so for teenagers.

W3c Semantic Sensor Networks: Ontologies, Applications, And Future Directions, Cory Andrew Henson

Kno.e.sis Publications

Plenary Talk discussing the W3C Semantic Sensor Network, including the ontology, applications, and future directions.

Topical Anomaly Detection From Twitter Streams, Pramod Anantharam, Krishnaprasad Thirunarayan, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Getting On The Bus: Marketing San Luis Obispo's Regional Transit Authority, Jenna Higgins

Master's Theses

A new trend is emerging, seeking to recognize the benefits of and encourage the use of public transportation. In the past, public transit agencies have not directed much energy or focus at marketing, seeking to use limited funds elsewhere. “The common perception is that money spent on marketing would be better spent on transit systems themselves…over time, a sustained investment in marketing increases the number of people who use transit. Increased ridership leads to increased revenue, and ideally, an increase in service to match the new demand” (Arpi, 2009).

Even as marketing gains importance in the public transit world, questions …

Negotiating Crisis In The New Media Environment: Evolution Of Crises Online, Gaining Legitimacy Offline, Augustine Pang, Nasrath Begam Binte Abul Hassan, Aaron Chee Yang Chong

Research Collection Lee Kong Chian School Of Business

This study examines how crises originate online, how different new media platforms escalate crises, and how issues become legitimized offline when they transit onto mainstream media. We study five social media crises, which includes United breaks guitars and Southwest Air’s too fat to fly. Crises are triggered online when stakeholders are empowered by new media platforms that allow user-generated content to be posted online without any filtering. Facebook, YouTube and Twitter emerge as top crises breeding grounds due to their large user base and the lack of gatekeeping. Facebook and blogs are responsible for escalating crises beyond the immediate stakeholder …

Prediction Of Topic Volume On Twitter, Yiye Ruan, Hemant Purohit, David Fuhry, Srinivasan Parthasarathy, Amit P. Sheth

Kno.e.sis Publications

We discuss an approach for predicting microscopic (individual) and macroscopic (collective) user behavioral patterns with respect to specific trending topics on Twitter. Going beyond previous efforts that have analyzed driving factors in whether and when a user will publish topic-relevant tweets, here we seek to predict the strength of content generation which allows more accurate understanding of Twitter users' behavior and more effective utilization of the online social network for diffusing information. Unlike traditional approaches, we consider multiple dimensions into one regression-based prediction framework covering network structure, user interaction, content characteristics and past activity. Experimental results on three large Twitter …