Crowdsourcing Indie Movies

Crowdsourcing Indie Movies Henry H. Perritt, Jr. Abstract Internet-centered technology developments are revolutionizing the ways in which movies can be made. The use of crowdsourcing to make indie movies is a possibility that has not yet been explored fully, although the use of crowdsourcing to raise money for artistic works is growing. Crowdsourcing can be used for every step of making a movie, increasing the range of collaboration available to creators and reducing capital requirements. The article uses a fictional account of a team of young moviemakers to explain how they can use crowdsourcing for each step of making their movie, considering what plans they should make for crowdsourcing, the available Web-based and software tools, and the business and legal issues that arise from that use of crowdsourcing. It concludes by identifying desirable technology developments and legal reform

Crowdsourcing Indie Movies

Crowdsourcing Indie Movies Henry H. Perritt, Jr. Abstract Internet-centered technology developments are revolutionizing the ways in which movies can be made. The use of crowdsourcing to make indie movies is a possibility that has not yet been explored fully, although the use of crowdsourcing to raise money for artistic works is growing. Crowdsourcing can be used for every step of making a movie, increasing the range of collaboration available to creators and reducing capital requirements. The article uses a fictional account of a team of young moviemakers to explain how they can use crowdsourcing for each step of making their movie, considering what plans they should make for crowdsourcing, the available Web-based and software tools, and the business and legal issues that arise from that use of crowdsourcing. It concludes by identifying desirable technology developments and legal reform

Managing Open Innovation: An Exploration of Information Technologies and Open Search Patterns

Product presentation in e-commerce has gained substantial attention from disciplines including information systems, marketing, psychology and management. Many studies compare newly emerging technologies and innovative presentation formats to traditional use of two-dimensional text and pictures. However, the emergent nature of these new technologies, like consumer focused virtual reality, results in instability of form and function in three-dimensional environments. This literature review synthesises the findings of extant literature, discusses important theoretical foundations and identifies the most popular research theories and research methods utilised. Additionally, it classifies constructs used to capture characteristics of presentation formats, consumers’ reactions and performance, as well as marketing-related effects (e.g. attitudes to product and purchase intention). Furthermore, some potential misinterpretation of terms used to describe product presentation have been identified. The literature review concludes with a discussion of implications and suggestions for future research of product presentation in e-commerce contexts

Player-AI Interaction: What Neural Network Games Reveal About AI as Play

The advent of artificial intelligence (AI) and machine learning (ML) bring human-AI interaction to the forefront of HCI research. This paper argues that games are an ideal domain for studying and experimenting with how humans interact with AI. Through a systematic survey of neural network games (n = 38), we identified the dominant interaction metaphors and AI interaction patterns in these games. In addition, we applied existing human-AI interaction guidelines to further shed light on player-AI interaction in the context of AI-infused systems. Our core finding is that AI as play can expand current notions of human-AI interaction, which are predominantly productivity-based. In particular, our work suggests that game and UX designers should consider flow to structure the learning curve of human-AI interaction, incorporate discovery-based learning to play around with the AI and observe the consequences, and offer users an invitation to play to explore new forms of human-AI interaction

IS "OPEN" ALWAYS BETTER? A MULTI-STAGE EXPLORATION OF ORGANIZATIONAL OPEN INNOVATION

Ph.DDOCTOR OF PHILOSOPH

Data-Driven, Personalized Usable Privacy

We live in the "inverse-privacy" world, where service providers derive insights from users' data that the users do not even know about. This has been fueled by the advancements in machine learning technologies, which allowed providers to go beyond the superficial analysis of users' transactions to the deep inspection of users' content. Users themselves have been facing several problems in coping with this widening information discrepancy. Although the interfaces of apps and websites are generally equipped with privacy indicators (e.g., permissions, policies, ...), this has not been enough to create the counter-effect. We particularly identify three of the gaps that hindered the effectiveness and usability of privacy indicators: - Scale Adaptation: The scale at which service providers are collecting data has been growing on multiple fronts. Users, on the other hand, have limited time, effort, and technological resources to cope with this scale. - Risk Communication: Although providers utilize privacy indicators to announce what and (less often) why they need particular pieces of information, they rarely relay what can be potentially inferred from this data. Without this knowledge, users are less equipped to make informed decisions when they sign in to a site or install an application. - Language Complexity: The information practices of service providers are buried in complex, long privacy policies. Generally, users do not have the time and sometimes the skills to decipher such policies, even when they are interested in knowing particular pieces of it. In this thesis, we approach usable privacy from a data perspective. Instead of static privacy interfaces that are obscure, recurring, or unreadable, we develop techniques that bridge the understanding gap between users and service providers. Towards that, we make the following contributions: - Crowdsourced, data-driven privacy decision-making: In an effort to combat the growing scale of data exposure, we consider the context of files uploaded to cloud services. We propose C3P, a framework for automatically assessing the sensitivity of files, thus enabling realtime, fine-grained policy enforcement on top of unstructured data. - Data-driven app privacy indicators: We introduce PrivySeal, which involves a new paradigm of dynamic, personalized app privacy indicators that bridge the risk under- standing gap between users and providers. Through PrivySeal's online platform, we also study the emerging problem of interdependent privacy in the context of cloud apps and provide a usable privacy indicator to mitigate it. - Automated question answering about privacy practices: We introduce PriBot, the first automated question-answering system for privacy policies, which allows users to pose their questions about the privacy practices of any company with their own language. Through a user study, we show its effectiveness at achieving high accuracy and relevance for users, thus narrowing the complexity gap in navigating privacy policies. A core aim of this thesis is paving the road for a future where privacy indicators are not bound by a specific medium or pre-scripted wording. We design and develop techniques that enable privacy to be communicated effectively in an interface that is approachable to the user. For that, we go beyond textual interfaces to enable dynamic, visual, and hands-free privacy interfaces that are fit for the variety of emerging technologies

OSP e seu potencial de desenvolvimento

Open Source Pharma (OSP) es una forma innovadora de realinear la investigación farmacéutica con las demandas de atención médica, particularmente en la búsqueda de soluciones para las enfermedades infecciosas relacionadas con la pobreza. OSP significa colaboración abierta, acceso abierto a datos y otros resultados, y licencias abiertas para compartir y distribuir resultados de investigación. El artículo presenta un análisis exploratorio de las prácticas actuales y los modelos comerciales adoptados por OSP a partir de la revisión de la literatura y una entrevista en profundidad con Matthew Todd, líder del proyecto Open Source Malaria. Concluimos que las PSO pueden convertirse en una alternativa de trabajo más promisoria que la industria farmacéutica tradicional, cuando reciben el apoyo de las políticas públicas, para que sus beneficios sean plenamente visibles.Open Source Pharma (OSP) stands out as an innovative way to re-align pharmaceutical research with health needs, in particular to find solutions to poverty-related infectious diseases. OSP means open collaboration, to open access to data and other results, and open licenses for sharing and distribution of research outcomes. This paper provides an exploratory analysis of OSP current practices and business models, based on literature review and one indepth interview with Matthew Todd, leader of the Open Source Malaria project. We claim that OSP may become a working and more promising alternative to traditional pharma as long as it is supported by public policy so as to fully emerge and visibilise its benefits.Fil: Arza, Valeria. Centro de Investigaciones para la Transformación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Sebastian, Sol. Centro de Investigaciones para la Transformación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

The Role of Business Innovation in the Internationalization Process: Loccioni Group Case Study

Il presente lavoro vuole comprendere le dinamiche e le connessioni esistenti tra il relations management e le strategie di innovazione con focus su come queste vengano efficacemente implementate da parte delle imprese nel processo di internazionalizzazione. Lo studio e’ avviato con un’introduzione ai principali contributi economici nel campo del management e del marketing relazionale con focus specifico sul marketing relazione nel settore industriale. Il secondo capitolo definisce il ruolo dell’approccio relazionale sull’innovazione. Dopo l’introduzione dell’innovazione del XX secolo, la quale e’ stata caratterizzata principalmente da strategie della “closed innovation”, la ricerca sviluppa un’analisi del paradigma della “open innovation”. Il terzo capitolo introduce il ruolo dell’innovazione nel processo di internazionalizzazione con riferimento alle principali teorie, ai vantaggi e agli svantaggi sull’adozione di strategie di open innovation nella struttura organizzativa. Il capitolo studia come l’adozione delle strategie di open innovation, sfruttando la leva dei contatti e delle relazioni delle imprese, possa facilitare il processo di internazionalizzazione delle imprese. Nel quarto capitol l’analisi viene approfondita attraverso lo studio del caso di studio del Gruppo Loccioni il quale rappresenta il principale caso studio di questo documento. L’analisi si concentra sul processo di internazionalizzazione del Gruppo Loccioni individuando i punti in comune con i contribute scientifici ampiamente discussi nel documento. L’autore ha un approccio proattivo proponendo una piu’ intensa adozione ed implementazione delle strategie di open innovation nel processo di internazionalizzazione. In generale la ricerca suggerisce indicazioni per future ricerche nell’ambito dell’innovation management nel processo di internazionalizzazione per le piccole e medie imprese.The candidate’s work aims to understand dynamics and connections between relations management and innovation strategies and how enterprises successfully adopt those in the internationalization process. . The study starts with an introduction to the main academic contributions in the management and relationship marketing field with specific focus on relationship marketing in the industrial market. . The second chapter defines the role of relationship’s approach to innovation. After an introduction to XX century’s innovation, which has been represented mainly by closed innovation strategies, the research develops an attentive analysis of open innovation paradigm. . The third chapter introduces the role of innovation in the international process with reference to the main theories, the advantages and disadvantages on adopting open innovation strategies in the organizational structure. In fact, the chapter studies how adoption of open innovation strategies, also by leveraging companies’ networks and relations, could facilitate the internationalization process of corporations. . In the fourth chapter the research goes deeper into the analysis studying the Loccioni Group case, which is the main case study of this document. The analysis focuses on Loccioni’s internationalization process finding a match with the scientific contributions widely discussed in the document. The author takes a proactive approach trough the proposal of a deeper adoption and implementation of open innovation strategies in the internationalization process. . Overall the research provides directions for future research in innovation management related to the internationalization process undertaken by SMEs

Turing on the Integration of Human and Machine Intelligence

Philosophical discussion of Alan Turing’s writings on intelligence has mostly revolved around a single point made in a paper published in the journal Mind in 1950. This is unfortunate, for Turing’s reflections on machine (artificial) intelligence, human intelligence, and the relation between them were more extensive and sophisticated. They are seen to be extremely well-considered and sound in retrospect. Recently, IBM developed a question-answering computer (Watson) that could compete against humans on the game show Jeopardy! There are hopes it can be adapted to other contexts besides that game show, in the role of a collaborator of, rather than a competitor to, humans. Another, different, research project—an artificial intelligence program put into operation in 2010—is the machine learning program NELL (Never Ending Language Learning), which continuously ‘learns’ by ‘reading’ massive amounts of material on millions of web pages. Both of these recent endeavors in artificial intelligence rely to some extent on the integration of human guidance and feedback at various points in the machine’s learning process. In this paper, I examine Turing’s remarks on the development of intelligence used in various kinds of search, in light of the experience gained to date on these projects