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Computación Ubicua Néstor Adolfo Mamani Macedo Universidad de San Martin de Porres

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1 Computación Ubicua Néstor Adolfo Mamani Macedo Universidad de San Martin de Porres

2 Introducción Hacia donde vamos s. XXI Predicciones Colonización en la luna Ciudades submarinas Autos energía nuclear Hechos (miniaturización) Biotecnología Nanotecnología Microelectrónica

3 Personas y Tecnologías Informáticas -Operador, personas fuera del sistema. Computación – Ciencia dura -Usuario, Simbiosis persona-computador – Sistemas interactivos (HCI: Human Computer Interaction) -Consumidor, personas rodeadas de un gran número de dispositivos informáticos, utilizados de forma implícita en la realización de actividades cotidianas. Introducción

4 Mark Weiser Desarrolló el concepto (1988), Computer Science Laboratory. Xerox PARC Divulgó el concepto en “The Computer for the Twenty-First Century”. Scientific American, 1991

5 Ubiquitous Computing #1 Inspired by the social scientists, philosophers, and anthropologists at PARC, we have been trying to take a radical look at what computing and networking ought to be like. We believe that people live through their practices and tacit knowledge so that the most powerful things are those that are effectively invisible in use. This is a challenge that affects all of computer science. Our preliminary approach: Activate the world. Provide hundreds of wireless computing devices per person per office, of all scales (from 1" displays to wall sized). This has required new work in operating systems, user interfaces, networks, wireless, displays, and many other areas. We call our work "ubiquitous computing". This is different from PDA's, dynabooks, or information at your fingertips. It is invisible, everywhere computing that does not live on a personal device of any sort, but is in the woodwork everywhere. Mark Weiser in 1988 at the Computer Science Lab at Xerox PARC Ubiquitous Computing #2 For thirty years most interface design, and most computer design, has been headed down the path of the "dramatic" machine. Its highest ideal is to make a computer so exciting, so wonderful, so interesting, that we never want to be without it. A less-traveled path I call the "invisible"; its highest ideal is to make a computer so imbedded, so fitting, so natural, that we use it without even thinking about it. (I have also called this notion "Ubiquitous Computing", and have placed its origins in post-modernism.) I believe that in the next twenty years the second path will come to dominate. But this will not be easy; very little of our current systems infrastructure will survive. We have been building versions of the infrastructure-to-come at PARC for the past four years, in the form of inch-, foot-, and yard-sized computers we call Tabs, Pads, and Boards. Our prototypes have sometimes succeeded, but more often failed to be invisible. From what we have learned, we are now exploring some new directions for ubicomp, including the famous "dangling string" display.

6 What Ubiquitous Computing Isn't Ubiquitous computing is roughly the opposite of virtual reality. Where virtual reality puts people inside a computer- generated world, ubiquitous computing forces the computer to live out here in the world with people. Virtual reality is primarily a horse power problem; ubiquitous computing is a very difficult integration of human factors, computer science, engineering, and social sciences. Introducción

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9 Omnipresencia Atributo privativo de los dioses Dispositivos electrónicos “embebidos” en objetos fijos o móviles conectados entre sí por medio de Internet Avalancha de información  

10 Tendencias Proliferación de microprocesadores equipados con sensores y con capacidad inalámbrica (Pervasivo) Detección del entorno que rodea a los objetos con capacidades de procesamiento de información y de comunicaciones. (Embebido) Integración Móviles – E-commerce Conexión de todo lo que existe en el mundo a Internet. (Comunicación) Información acerca de “cualquier cosa”, “en cualquier momento” y “en cualquier lugar” (Ubicuo) Introducción

11 Computación Ubicua Objetos (aparatos) embebidos podrían: Descubrir o Donde se encuentran o Que otros objetos se encuentran cerca de ellos o Que le ocurrió anteriormente Cooperar y comunicarse con otros objetos “inteligentes” Acceder a toda clase de recursos en Internet Reaccionar y funcionar de manera sensible al contexto (“inteligentes”)

12 Computación Ubicua Viable por los avances en: Computación Microelectrónica Tecnología de las comunicaciones Ciencia de los materiales Nuevas Aplicaciones: Objetos funcionando de manera cooperativa, crearan nuevas utilidades emergentes Debate sobre la: Realidad vinculada al ciberespacio basado en la información

13 Computación Ubicua Modelo de interacción: procesamiento de información integrado fuertemente en las actividades y objetos cotidianos Internet inalámbrico: disponible en todas partes, invisible para el usuario (ubicuo)

14 Intenta: Tecnología "invisible" para el usuario Meta: Desarrollar entornos transparentes para que todo usuario pueda beneficiarse sin darse cuenta que la está usando. Computación Ubicua

15 Busca: Que la experiencia de todo usuario puede ser más agradable y facilite la interacción con su entorno Computación Ubicua Permite al médico mantener contacto con un paciente cuyo estado requiere vigilancia. Además monitorear continuamente los signos vitales críticos que pueden anticipar una emergencia.

16 ¿Qué es? Uso de dispositivos “invisibles”, donde invisible es la herramienta que esta dentro de nuestro inconsciente. ¿Para qué? Ofrecer al usuario nuevas experiencias en términos TI. Computación Ubicua

17 Impactos: Menos puestos de trabajo, se los reemplazaría por maquinas o objetos muy avanzados. Los E-objetos a medida que avanzan para satisfacer nuestra necesidades pueden ser mucho mas costosos. Crear escasez de capacidades técnicas, cambio en los valores y expectativas de empleados, clientes, etc.

18 Tecnología Ubicua: Relevante para los mundos virtuales en relación al entretenimiento y su fuerte relación con las redes sociales ??? Idea: Futuro de la humanidad está en los mundos virtuales ??? Nuevo modelos educativos desarrollados a partir de: Nuevas tecnologías en el mundo del aprendizaje, Mejora de las capacidades cognitivas por medio de la computación y comunicaciones Computación Ubicua

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30 Affective Computing How new technologies can help people better communicate, understand, and respond to affective information. The Affective Computing group aims to bridge the gap between computational systems and human emotions. Our research addresses: o machine recognition and modeling of human emotional expression, o machine learning of human preferences as communicated by user affect, o intelligent computer handling of human emotions, o computer communication of affective information between people, o affective expression in machines and computational toys, o emotion modeling for intelligent machine behavior, o tools to help develop human social-emotional skills, and o new sensors and devices to help gather, communicate, and express emotional information.

31 Biomechatronics Seeks to advance technologies that promise to accelerate the merging of body and machine, including device architectures that resemble the body's own musculoskeletal design, actuator technologies that behave like muscle, and control methodologies that exploit principles of biological movement. How technology can be used to enhance human physical capability. We know from early Roman mosaics that physical rehabilitation and amplification technologies have been used during much of recorded history. Although the goal of constructing such technologies is not new, great scientific and technological hurdles still remain. Even today, permanent assistive devices are viewed by the physically challenged as separate, lifeless mechanisms and not intimate extensions of the human body—structurally, neurologically, and dynamically.

32 Camera Culture The Camera Culture group is building new tools to better capture and share visual information. How to create new ways to capture and share visual information. What will a camera look like in ten years? How should we change the camera to improve mobile photography? How will a billion networked and portable cameras change the social culture? We exploit unusual optics, novel illumination, and emerging sensors to build new capture devices and develop associate algorithms.

33 Changing Places How new strategies for architectural design, mobility systems, and networked intelligence can make possible dynamic, evolving places that respond to the complexities of life. The Changing Places group proposes that fundamentally new strategies must be found for creating the places where people live/work, and the mobility systems that connect these places, in order to meet the profound challenges of the future. We are investigating how new models for urban architecture and personal vehicles can be more responsive to the unique needs and values of individuals though the application of disentangled systems and smart customization technology. We are developing technology to understand and respond to human activity, environmental conditions, and market dynamics. We are interested in finding optimal combinations of automated systems, just-in-time information for personal control, and interfaces to persuade people to adopt sustainable behaviors.

34 Civic Media How to create technical and social systems for sharing, prioritizing, organizing, and acting on information. We are creating technical and social systems for sharing, prioritizing, organizing, and acting on information. We use the term civic media, rather than citizen journalism: civic media is any form of communication that strengthens the social bonds within a community or creates a strong sense of civic engagement among its residents. Civic media goes beyond news gathering and reporting: it ensures the diversity of inputs and mutual respect necessary for democratic deliberation.

35 Cognitive Machines How to build machines that learn to use language in human- like ways, and develop tools and models to better understand how children learn to communicate and how adults behave. The goal of the Cognitive Machines group is to create systems that engage in fluid, situated, meaningful communication with human partners. We seek to understand and model the processes by which words are grounded in the physical world as a result of embodied perception, action, and learning. These models are applied to create situated human-machine interfaces. We also use our computational models as a source of predictions and possible accounts for a number of cognitive phenomena including aspects of children's language acquisition, concept formation, and attention.

36 Software Agents How software can act as an assistant to the user rather than a tool, by learning from interaction and by proactively anticipating the user's needs. The Software Agents group investigates a new paradigm for software that acts like an assistant to a user of an interactive interface rather than simply as a tool. While not necessarily as intelligent as a human agent, agent software can learn from interaction with the user, and proactively anticipate the user's needs. We build prototype agent systems in a wide variety of domains, including text and graphic editing, Web browsing, e-commerce, information visualization, and more.

37 The Ubicomp conference is the premier international venue in which novel results in these areas are presented and discussed. Relevant topic areas for full papers and notes include, but are not limited to: devices & techniques – descriptions of the design, architecture, usage and evaluation of devices and techniques that create valuable new capabilities for ubiquitous computing systems & infrastructures – descriptions of the design, architecture, deployment and evaluation of systems and infrastructures that support ubiquitous computing applications – descriptions of the design and/or study of applications that leverage Ubicomp devices and systems methodologies & tools – new methods and tools applied to studying or building Ubicomp systems and applications theories & models – critical analysis or organizing theory with clear relevance to the design or study of Ubicomp systems experiences – empirical investigations of the use of new or existing Ubicomp technologies with clear relevance to the design and deployment of future Ubicomp systems

38 Papers & Notes Session I: Context-Awareness Monday, September 27, 10:30-12:00 Chair: Monica Tentori The Calendar as a Sensor: Analysis and Improvement Using Data Fusion with Social Networks and Location Tom Lovett, University of Bath, UK, Eamonn O'Neill, University of Bath, UK, James Irwin, Vodafone Group R&D, David Pollington, Vodafone Group R&D Toolkit to Support Intelligibility in Context-Aware Applications Brian Y. Lim, Human-Computer Interaction Institute, Carnegie Mellon University, USA Anind K. Dey, Human-Computer Interaction Institute, Carnegie Mellon University, USA Identifying the Activities Supported by Locations with Community-Authored Content David Dearman, University of Toronto, Canada, Khai N. Truong, University of Toronto, Canada Examining Micro-Payments for Participatory Sensing Data Collections Sasank Reddy, University of California, Los Angeles, USA Deborah Estrin, University of California, Los Angeles, USA Mark Hansen, University of California, Los Angeles, USA Mani Srivastava, University of California, Los Angeles, USA

39 Session II: Exploring New Possibilities Monday, September 27, 14:00-15:30 Chair: Elaine Huang Remarkable Objects: Supporting Collaboration in a Creative Environment Dhaval Vyas, University of Twente, Netherlands, Anton Nijholt, University of Twente, Netherlands, Dirk Heylen, University of Twente, Netherlands, Alexander Kröner, DFKI, Germany, Gerrit van der Veer, Open University, Netherlands VoiceYourView: Collecting Real-time Feedback on the Design of Public Spaces Jon Whittle, Lancaster University, UK, Will Simm, Lancaster University, UK, Marie-Angela Ferrario, Lancaster University, UK, Kate Frankova, Coventry University, UK, Laurence Garton, Coventry University, UK, Andrée Woodcock, Coventry University, UK, Baseerit Nasa, Aston University, UK, Jane Binner, Aston University, UK, Aom Ariyatum, Brunel University, UK Designing for Interaction Immediacy to Enhance Social Skills of Children with Autism Monica Tentori, UCI, UABC, USA, Gillian R. Hayes, UCI, USA Investigations of Ubicomp in the Oil and Gas Industry Clint Heyer, ABB

40 Session III: Location Sharing Monday, September 27, 16:00-17:15 Chair: Timothy Sohn Modeling People's Place Naming Preferences in Location Sharing Jialiu Lin, Carnegie Mellon University, USA;Guang Xiang, Carnegie Mellon University, USA: Jason I. Hong, Carnegie Mellon University, USA; Norman Sadeh, Carnegie Mellon University, USA Rethinking Location Sharing: Exploring the Implications of Social-Driven vs. Purpose-Driven Location Sharing Karen Tang, Carnegie Mellon University, USA; Jialiu Lin, Carnegie Mellon University, USA;Jason I. Hong, Carnegie Mellon University, USA; Dan Siewiorek, Carnegie Mellon University, USA; Norman Sadeh, Carnegie Mellon University, USA Empirical Models of Privacy in Location Sharing Eran Toch, Carnegie Mellon Univeristy, USA; Justin Cranshaw, Carnegie Mellon University, USA; Paul Hankes-Drielsma, Carnegie Mellon University, USA; Janice Y. Tsai, Carnegie Mellon University, USA; Patrick Gage Kelley, Carnegie Mellon University, USA; Lorrie Cranor, Carnegie Mellon University, USA; Jason Hong, Carnegie Mellon University, USA; Norman Sadeh, Carnegie Mellon University, USA

41 Session IV: Phone Based Sensing Tuesday, September 28, 9:00-10:00 Chair: Rene Mayrhofer Hapori: Context-based Local Search for Mobile Phones using Community Behavioral Modeling and Similarity Nicholas D. Lane, Dartmouth College, USA Dimitrios Lymberopoulos, Microsoft Research Feng Zhao, Microsoft Research Andrew T. Campbell, Dartmouth College, USA Tasking Networked CCTV Cameras and Mobile Phones to Identify and Localize Multiple People Thiago Teixeira, Yale University, USA Deokwoo Jung, Yale University, USA Andreas Savvides, Yale University, USA Predicting Human Behaviour from Selected Mobile Phone Data Points Driss Choujaa, Imperial College London, UK Naranker Dulay, Imperial College London, UK

42 Session V: Technologies to Influence One's Health & Behaviours Tuesday, September 28, 10:30-12:00 Chair: Julie Kientz Let's Play! Mobile Health Games for Adults Andrea Grimes, Georgia Institute of Technology, USA; Vasudhara Kantroo, Georgia Institute of Technology, USA; Rebecca E. Grinter, Georgia Institute of Technology, USA MoviPill: Improving medication compliance for elders using a mobile persuasive social game Rodrigo de Oliveira, Telefonica Research; Mauro Cherubini, Telefonica Research; Nuria Oliver, Telefonica Research Ambient Influence: Can Twinkly Lights Lure and Abstract Representations Trigger Behavioral Change? Yvonne Rogers, Open University, School of Computing and Maths, UK; William R. Hazlewood, Indiana University, School of Informatics, USA; Paul Marshall, Open University, School of Computing and Maths, UK; Nick Dalton, Open University, School of Computing and Maths, UK; Susanna Hertrich, susannahertrich.com Exploring Inter-child Behavioral Relativity in a Shared Social Environment: A Field Study in a Kindergarten Inseok Hwang, Korea Advanced Institute of Science and Technology, South Korea; Hyukjae Jang, Korea Advanced Institute of Science and Technology, South Korea; Lama Nachman, Intel Corporation; Junehwa Song, Korea Advanced Institute of Science and Technology, South Korea

43 Session VI: Home Infrastructure Tuesday, September 28, 14:00-15:30 Chair: Steve Hodges ElectriSense: Single-Point Sensing Using EMI for Electrical Event Detection and Classification in the Home Sidhant Gupta, University of Washington, USA; Matt S. Reynolds, Duke University, USA; Shwetak N. Patel, University of Washington, USA Understanding Conflict Between Landlords and Tenants: Implications for Energy Sensing and Feedback Tawanna Dillahunt, Carnegie Mellon University, USA; Jennifer Mankoff, Carnegie Mellon University, USA; Eric Paulos, Carnegie Mellon University, USA SNUPI: Sensor Nodes Utilizing Powerline Infrastructure Gabe Cohn, University of Washington, USA; Erich Stuntebeck, Georgia Institute of Technology, USA Jagdish Pandey, University of Washington, USA; Brian Otis, University of Washington, USA Gregory D. Abowd, Georgia Institute of Technology, USA; Shwetak N. Patel, University of Washington, USA WATTR: A method for self-powered wireless sensing of water activity in the home Timothy Campbell, University of Washington, USA; Ramses Alcaide, University of Washington, USA Eric Larson, University of Washington, USA; Shwetak Patel, University of Washington, USA

44 Session VII: Location Sharing II Tuesday, September 28, 16:00-17:15 Chair: Hao-Hua Chu Bridging the Gap Between Physical Location and Online Social Networks Justin Cranshaw, Carnegie Mellon University, USA Eran Toch, Carnegie Mellon University, USA Jason Hong, Carnegie Mellon University, USA Aniket Kittur, Carnegie Mellon University, USA Norman Sadeh, Carnegie Mellon University, USA Exploring End User Preferences for Location Obfuscation, Location-Based Services, and the Value of Location A.J. Brush, Microsoft Research John Krumm, Microsoft Research James Scott, Microsoft Research The Domestic Panopticon: Location Tracking in Families Julie Boesen, University College London, UK Jennifer A. Rode, Drexel University, USA Clara Mancini, Open University, UK

45 Session VIII: Localization Wednesday, September 29, 9:00-10:00 Chair: Anthony LaMarca Accuracy Characterization of Cell Tower Localization Jie Yang, Stevens Institute of Technology, USA Alexander Varshavsky, AT&T Labs Hongbo Liu, Stevens Institute of Technology, USA Yingying Chen, Stevens Institute of Technology, USA Marco Gruteser, Rutgers University, USA A Grid-Based Algorithm for On-Device GSM Positioning Petteri Nurmi, Helsinki Institute for Information Technology, Finland Sourav Bhattacharya, Helsinki Institute for Information Technology, Finland Joonas Kukkonen, Helsinki Institute for Information Technology, Finland Vehicular Speed Estimation using Received Signal Strength from Mobile Phones Gayathri Chandrasekaran, Rutgers University, USA Tam Vu, Rutgers University, USA Alexander Varshavsky, ATT Labs Marco Gruteser, Rutgers University, USA Richard Martin, Rutgers University, USA Yingying Chen, Stevens Institute of Technology, USA Jie Yang, Stevens Institute of Technology<, USA

46 Session IX: Novel Interactions Wednesday, September 29, 10:30-12:15 Chair: Aaron Quigley Ubicomp to the Masses: A Large-scale Study of Two Tangible Interfaces for Download Enrico Costanza, University of Southampton, UK; Matteo Giaccone, WeLaika; Olivier Kueng, EPFL, Switzerland; Simon Shelley, Independent; Jeffrey Huang, EPFL, Switzerland What Do You Bring To the Table? Investigations of a Collaborative Workspace Trevor Pering, Intel Labs; Kent Lyons, Intel Labs; Roy Want, Intel Labs; Mary Murphy-Hoye, Intel Labs; Mark Baloga, Steelcase; Paul Noll, Steelcase; Joe Branc, Steelcase; Nicolas De Benoist, Steelcase Sketching with Strangers - In the Wild Study of Ad-hoc Social Communication by Drawing Panu Kerman, Nokia Research Center ; Arto Puikkonen, Nokia Research Center; Antti Virolainen, Nokia Research Center; Pertti Huuskonen, Nokia Research Center; Jonna Häkkilä, Nokia Research Center Augmenting On-Screen Instructions with Micro-Projected Guides: When it Works, and When it Fails Stephanie Rosenthal, Intel Research, Carnegie Mellon University, USA Shaun K. Kane, University of Washington, USA Jacob O. Wobbrock, University of Washington, USA Daniel Avrahami, Intel Research

47 Session X: Psycho-Physiological Sensing Wednesday, September 29, 13:30-15:00 Chair: Shwetak Patel EmotionSense: A Mobile Phones based Adaptive Platform for Experimental Social Psychology Research Kiran K. Rachuri, University of Cambridge, UK; Mirco Musolesi, University of St. Andrews, UK Cecilia Mascolo, University of Cambridge, UK; Peter J. Rentfrow, University of Cambridge, UK Chris Longworth, University of Cambridge, UK; Andrius Aucinas, University of Cambridge, UK Social Sensing for Epidimiological Behavior Change Anmol Madan, MIT Media Lab, USA; Manuel Cebrian, MIT Media Lab, USA; David Lazer, Northeastern University, USA; Alex Pentland, MIT Media Lab, USA Psycho-Physiological Measures for Assessing Cognitive Load Eija Haapalainen, University of Oulu, Finland; SeungJun Kim, CMU, USA; Jodi F. Forlizzi, CMU, USA Anind K. Dey, CMU, USA Using Wearable Activity Type Detection to Improve Physical Activity Energy Expenditure Estimation Fahd Albinali, MIT, USA; Stephen Intille, MIT, USA; William Haskell, Stanford, USA; Mary Rosenberger, Stanford, USA

48 Session XI: Enhancing the Mobile Experience Wednesday, September 29, 15:30-16:45 Chair: Adrian Friday The Wi-Fi Privacy Ticker: Improving Awareness & Control of Personal Information Exposure on Wi-Fi Sunny Consolvo, Intel Labs Seattle; Jaeyeon Jung, Intel Labs Seattle, University of Washington, USA; Ben Greenstein, Intel Labs Seattle; Pauline Powledge, Intel Labs Seattle; Gabriel Maganis, University of California, Davis, USA; Daniel Avrahami, Intel Labs Seattle Groupthink: Usability of Secure Group Association for Wireless Devices Rishab Nithyanand, University of California, Irvine, USA; Nitesh Saxena, Polytechnic Institute of NYU, USA; Gene Tsudik, University of California, Irvine, USA; Ersin Uzun, University of California, Irvine, USA TCBI: The Design and Evaluation of a Task-Centered Battery Interface Khai Truong, University of Toronto, Canada Julie Kientz, University of Washington, USA Timothy Sohn, Nokia Research Center, Palo Alto Alyssa Rosenzweig, University of Toronto, Canada Amanda Fonville, University of Washington, USA Tim Smith, University of Toronto, Canada

49 W01 – Mobile Context-Awareness: Capabilities, Challenges and Applications W02 – Designing for Performative Interactions in Public Spaces W03 – Transnational Times: Locality, Globality and Mobility in Technology Design and Use W04 – SISSI 2010: Social Interaction in Spatially Separated Environments W05 – PaperComp 2010: 1st International Workshop on Paper Computing W06 – UBI Challenge Workshop 2010:Real World Urban Computing W07 – Ubiquitous Crowdsourcing W08 – Research in the large: Using App Stores, Markets and other wide distribution channels in UbiComp research W09 – CASEMANS: The 4th ACM International Workshop on Context-Awareness for Self-Managing Systems W10 – PerEd 2010: The Third Workshop on Pervasive Computing Education W11 – UbiHealth 2010: The 5th International Workshop on Ubiquitous Health and Wellnes W12 – UCSE2010: Workshop on Ubiquitous Computing for Sustainable Energy W13 – DOME-IoT 2010: Digital Object Memories in the Internet of Things W14 - Context awareness and information processing in opportunistic ubiquitous systems Workshops

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