Co-creation and co-destruction: : A practice-theory based study of interactive value formation

Drawing on an empirical study of public transport, this paper studies interactive value formation at the provider—customer interface, from a practice—theory perspective. In contrast to the bulk of previous research, it argues that interactive value formation is not only associated with value co-creation but also with value co-destruction. In addition, the paper also identifies five interaction value practices — informing, greeting, delivering, charging, and helping — and theorizes how interactive value formation takes place as well as how value is intersubjectively assessed by actors at the provider—customer interface. Furthermore, the paper also distinguishes between four types of interactive value formation praxis corresponding with four subject positions which practitioners step into when engaging in interactive value formation.

EXAMINING THE IMPACT OF TEACHER PRACTICE ON STUDENT LEARNING IN INTERACTIVE RADIO INSTRUCTION (IRI) CLASSROOMS: LESSONS FROM NEW DELHI AND RAJASTHAN (INDIA)

This quantitative study examines the impact of teacher practices on student achievement in classrooms where the English is Fun Interactive Radio Instruction (IRI) programs were being used. A contemporary IRI design using a dual-audience approach, the English is Fun IRI programs delivered daily English language instruction to students in grades 1 and 2 in Delhi and Rajasthan through 120 30-minute programs via broadcast radio (the first audience) while modeling pedagogical techniques and behaviors for their teachers (the second audience). Few studies have examined how the dual-audience approach influences student learning. Using existing data from 32 teachers and 696 students, this study utilizes a multivariate multilevel model to examine the role of the primary expectations for teachers (e.g., setting up the IRI classroom, following instructions from the radio characters and ensuring students are participating) and the role of secondary expectations for teachers (e.g., modeling pedagogies and facilitating learning beyond the instructions) in promoting students’ learning in English listening skills, knowledge of vocabulary and use of sentences. The study finds that teacher practice on both sets of expectations mattered, but that practice in the secondary expectations mattered more. As expected, students made the smallest gains in the most difficult linguistic task (sentence use). The extent to which teachers satisfied the primary and secondary expectations was associated with gains in all three skills – confirming the relationship between students’ English proficiency and teacher practice in a dual-audience program. When it came to gains in students’ scores in sentence use, a teacher whose focus was greater on primary expectations had a negative effect on student performance in both states. In all, teacher practice clearly mattered but not in the same way for all three skills. An optimal scenario for teacher practice is presented in which gains in all three skills are maximized. These findings have important implications for the way the classroom teacher is cast in IRI programs that utilize a dual-audience approach and in the way IRI programs are contracted insofar as the role of the teacher in instruction is minimized and access is limited to instructional support from the IRI lessons alone.

InfoScout: An interactive, entity centric, person search tool.

Individuals living in highly networked societies publish a large amount of personal, and potentially sensitive, information online. Web investigators can exploit such information for a variety of purposes, such as in background vetting and fraud detection. However, such investigations require a large number of expensive man hours and human effort. This paper describes InfoScout, a search tool which is intended to reduce the time it takes to identify and gather subject centric information on the Web. InfoScout collects relevance feedback information from the investigator in order to rerank search results, allowing the intended information to be discovered more quickly. Users may still direct their search as they see fit, issuing ad-hoc queries and filtering existing results by keywords. Design choices are informed by prior work and industry collaboration.

INTERACTIVE AND IMMERSIVE: Factual transmedia narratives around experiences of displacement and migration.

This article will examine how media organisations are increasingly experimenting and innovating with interactive transmedia forms to explore issues around displacement and the ongoing migration crisis. I plan to interview a number of key industry figures with a view to understand how and why journalists and producers are expanding the scope of factual storytelling beyond traditional media platforms. It will include a number of industry case studies.

The Descent of Pluto: Interactive dynamics, specialisation and reciprocity of roles in a Wikipedia debate

International audience

The Interactive Experience: Exploring Technologies for Creating Touchscreen Exhibits

Presentation from the MARAC conference in Roanoke, VA on October 7–10, 2015. S7 - The Interactive Experience: Exploring Technologies for Creating Touchscreen Exhibits.

The Interactive Experience: Exploring Technologies for Creating Touchscreen Exhibits

Presentation from the MARAC conference in Roanoke, VA on October 7–10, 2015. S7 - The Interactive Experience: Exploring Technologies for Creating Touchscreen Exhibits.

Tutoria da anatomia mamária feminina utilizando uma rede neural artificial interactive activation and competition orientada a serviço

Dissertação (mestrado)—Universidade de Brasília, Faculdade Gama, Programa de Pós-Graduação em Engenharia Biomédica, 2015.

A Visual Analytics Approach to Comparing Cohorts of Event Sequences

Sequences of timestamped events are currently being generated across nearly every domain of data analytics, from e-commerce web logging to electronic health records used by doctors and medical researchers. Every day, this data type is reviewed by humans who apply statistical tests, hoping to learn everything they can about how these processes work, why they break, and how they can be improved upon. To further uncover how these processes work the way they do, researchers often compare two groups, or cohorts, of event sequences to find the differences and similarities between outcomes and processes. With temporal event sequence data, this task is complex because of the variety of ways single events and sequences of events can differ between the two cohorts of records: the structure of the event sequences (e.g., event order, co-occurring events, or frequencies of events), the attributes about the events and records (e.g., gender of a patient), or metrics about the timestamps themselves (e.g., duration of an event). Running statistical tests to cover all these cases and determining which results are significant becomes cumbersome. Current visual analytics tools for comparing groups of event sequences emphasize a purely statistical or purely visual approach for comparison. Visual analytics tools leverage humans' ability to easily see patterns and anomalies that they were not expecting, but is limited by uncertainty in findings. Statistical tools emphasize finding significant differences in the data, but often requires researchers have a concrete question and doesn't facilitate more general exploration of the data. Combining visual analytics tools with statistical methods leverages the benefits of both approaches for quicker and easier insight discovery. Integrating statistics into a visualization tool presents many challenges on the frontend (e.g., displaying the results of many different metrics concisely) and in the backend (e.g., scalability challenges with running various metrics on multi-dimensional data at once). I begin by exploring the problem of comparing cohorts of event sequences and understanding the questions that analysts commonly ask in this task. From there, I demonstrate that combining automated statistics with an interactive user interface amplifies the benefits of both types of tools, thereby enabling analysts to conduct quicker and easier data exploration, hypothesis generation, and insight discovery. The direct contributions of this dissertation are: (1) a taxonomy of metrics for comparing cohorts of temporal event sequences, (2) a statistical framework for exploratory data analysis with a method I refer to as high-volume hypothesis testing (HVHT), (3) a family of visualizations and guidelines for interaction techniques that are useful for understanding and parsing the results, and (4) a user study, five long-term case studies, and five short-term case studies which demonstrate the utility and impact of these methods in various domains: four in the medical domain, one in web log analysis, two in education, and one each in social networks, sports analytics, and security. My dissertation contributes an understanding of how cohorts of temporal event sequences are commonly compared and the difficulties associated with applying and parsing the results of these metrics. It also contributes a set of visualizations, algorithms, and design guidelines for balancing automated statistics with user-driven analysis to guide users to significant, distinguishing features between cohorts. This work opens avenues for future research in comparing two or more groups of temporal event sequences, opening traditional machine learning and data mining techniques to user interaction, and extending the principles found in this dissertation to data types beyond temporal event sequences.

Pervasive Software Visualizations

A picture tells a thousand words. We all know that. Then why are our development tools showing mainly text with so much obstinacy? Even when visualizations do make it into our tools, they typically do not make it past the periphery. Something is deeply wrong. We argue that visualizations must become pervasive in software development, and to accommodate this goal, the integrated development environments must change significantly.

Experimental characterization of wingtip vortices using smoke flow visualizations

In order to predict the axial development of the wingtip vortices strength an accurate theoretical model is required. Several experimental techniques have been used to that end, e.g. PIV or hotwire anemometry, but they imply a significant cost and effort. For this reason, we have carried out experiments using the smoke-wire technique to visualize smoke streaks in six planes perpendicular to the main stream flow direction. Using this visualization technique, we obtained quantitative information regarding the vortex velocity field by means of Batchelor's model~\cite{batchelor}, which only depends on two free parameters, i.e. the vortex strength, $S$, and the virtual origin, $z_0$. Results for two chord based Reynolds numbers have been compared with those provided by del Pino et at. (2011), finding good agreement.

Effect of Playing Interactive Computer Game on Distress of Insulin Injection Among Type 1 Diabetic Children

Background: Diabetic children and their families experience high level stress because of daily insulin injection. Objectives: This study was conducted to investigate the impact of an interactive computer game on behavioral distress due to insulin injection among diabetic children. Patients and Methods: In this clinical trial, thirty children (3-12 years) with type 1 diabetes who needed daily insulin injection were recruited and allocated randomly into two groups. Children in intervention groups received an interactive computer game and asked to play at home for a week. No special intervention was done for control group. The behavioral distress of groups was assessed before, during and after the intervention by Observational Scale of Behavioral Distress–Revised (OSBD-R). Results: Repeated measure ANOVA test showed no significantly difference of OSBD-R over time for control group (P = 0.08), but this changes is signification in the study group (P = 0.001). Comparison mean score of distress were significantly different between two groups (P = 0.03). Conclusions: According to the findings, playing interactive computer game can decrease behavioral distress induced by insulin injection in type 1 diabetic children. It seems this game can be beneficial to be used alongside other interventions.

Interactive storytelling to improve the listening skill of 8th grade at INAN High School

Este trabajo de investigación se trata de Cuentacuentos de respuesta física total y su influencia en el proceso de enseñanza-aprendizaje de Inglés como segunda lengua de los estudiantes del octavo grado de Educación General Básica del Colegio "INTEGRACIÓN ANDINA" en la ciudad de Cuenca en el Año Lectivo 2014 y 2015. Es necesario un nuevo sistema educativo para responder a las necesidades de la sociedad actual para permitir el desarrollo general de la educación, implementando un nuevo programa de enseñanza en el aprendizaje del Inglés a través de la narración. La búsqueda de una mejor manera de aprender y enseñar es responsabilidad ineludible de todos los maestros que deben enfrentar los desafíos con entusiasmo mientras se mira hacia innovaciones futuras permitiendo a los estudiantes mejorar sus habilidades de escucha y demás destrezas. Dado que el 90% de conocimiento de un nuevo idioma se adquiere a través de la lectura; el uso de Cuentacuentos ayuda a los estudiantes a adquirir el conocimiento necesario que será la base para un alto nivel cultural, tanto en el aprendizaje y en el desarrollo de habilidades de lenguaje, la lectura es un medio esencial para el desarrollo cultural en Educación. La falta de preparación en la lectura obstaculiza los esfuerzos del maestro secundario para lograr una formación integral en el alumno. Es necesario implementar estrategias para tratar de superar la falta de lectura, mediante el uso de la narración de cuentos en clase para animar a los estudiantes a leer en casa.