computación ubicua néstor adolfo mamani macedo universidad de san martin de porres [email protected]
TRANSCRIPT
Introducción
Hacia donde vamos s. XXI •PrediccionesColonización en la lunaCiudades submarinasAutos energía nuclear•Hechos (miniaturización)BiotecnologíaNanotecnologíaMicroelectrónica
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
Introducción
• Mark WeiserDesarrolló el concepto (1988), Computer Science Laboratory.
Xerox PARCDivulgó el concepto en “The Computer for the Twenty-First
Century”. Scientific American, 1991
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 PARChttp://www.ubiq.com/ubicomp/
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.
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
Introducción
IntroducciónOmnipresencia• Atributo privativo de los dioses• Dispositivos electrónicos “embebidos” en objetos fijos o
móviles conectados entre sí por medio de Internet• Avalancha de información
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
Computación Ubicua• Objetos (aparatos) embebidos podrían:DescubriroDonde se encuentranoQue otros objetos se encuentran cerca de ellosoQue le ocurrió anteriormenteCooperar y comunicarse con otros objetos “inteligentes”Acceder a toda clase de recursos en InternetReaccionar y funcionar de manera sensible al contexto
(“inteligentes”)
Computación Ubicua
• Viable por los avances en:ComputaciónMicroelectrónica Tecnología de las comunicacionesCiencia 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
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)
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
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.
¿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
Computación Ubicua• 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.
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
http://www.pac.com.ve/index.php?option=com_content&view=category&layout=blog&id=74&Itemid=208
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:omachine recognition and modeling of human emotional expression, omachine learning of human preferences as communicated by user affect, ointelligent computer handling of human emotions, ocomputer communication of affective information between people, oaffective expression in machines and computational toys,oemotion modeling for intelligent machine behavior, otools to help develop human social-emotional skills, and onew sensors and devices to help gather, communicate, and express emotional information.
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.
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.
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.
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.
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.
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.
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
http://www.ubicomp2010.org/ http://www.ubicomp.org/ubicomp2011/index.htm
Papers & Notes
Session I: Context-AwarenessMonday, September 27, 10:30-12:00Chair: 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, USAAnind 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, USADeborah Estrin, University of California, Los Angeles, USAMark Hansen, University of California, Los Angeles, USAMani Srivastava, University of California, Los Angeles, USA
Session II: Exploring New PossibilitiesMonday, September 27, 14:00-15:30Chair: 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
Session III: Location SharingMonday, September 27, 16:00-17:15Chair: 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
Session IV: Phone Based SensingTuesday, September 28, 9:00-10:00Chair: Rene Mayrhofer
Hapori: Context-based Local Search for Mobile Phones using Community Behavioral Modeling and Similarity Nicholas D. Lane, Dartmouth College, USADimitrios 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, USADeokwoo Jung, Yale University, USAAndreas Savvides, Yale University, USA
Predicting Human Behaviour from Selected Mobile Phone Data Points Driss Choujaa, Imperial College London, UKNaranker Dulay, Imperial College London, UK
Session V: Technologies to Influence One's Health & BehavioursTuesday, September 28, 10:30-12:00Chair: 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
Session VI: Home InfrastructureTuesday, September 28, 14:00-15:30Chair: 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, USAJagdish Pandey, University of Washington, USA; Brian Otis, University of Washington, USAGregory 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, USAEric Larson, University of Washington, USA; Shwetak Patel, University of Washington, USA
Session VII: Location Sharing IITuesday, 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 , USAEran Toch, Carnegie Mellon University, USAJason Hong, Carnegie Mellon University, USAAniket Kittur, Carnegie Mellon University, USANorman Sadeh, Carnegie Mellon University, USA
Exploring End User Preferences for Location Obfuscation, Location-Based Services, and the Value of LocationA.J. Brush, Microsoft Research John Krumm, Microsoft Research James Scott, Microsoft Research
The Domestic Panopticon: Location Tracking in Families Julie Boesen, University College London, UKJennifer A. Rode, Drexel University, USAClara Mancini, Open University, UK
Session VIII: LocalizationWednesday, September 29, 9:00-10:00Chair: Anthony LaMarca
Accuracy Characterization of Cell Tower Localization Jie Yang, Stevens Institute of Technology, USAAlexander Varshavsky, AT&T Labs Hongbo Liu, Stevens Institute of Technology, USAYingying Chen, Stevens Institute of Technology, USAMarco Gruteser, Rutgers University, USA
A Grid-Based Algorithm for On-Device GSM Positioning Petteri Nurmi, Helsinki Institute for Information Technology, FinlandSourav Bhattacharya, Helsinki Institute for Information Technology, FinlandJoonas Kukkonen, Helsinki Institute for Information Technology, Finland
Vehicular Speed Estimation using Received Signal Strength from Mobile Phones Gayathri Chandrasekaran, Rutgers University, USATam Vu, Rutgers University, USAAlexander Varshavsky, ATT Labs Marco Gruteser, Rutgers University , USARichard Martin, Rutgers University, USAYingying Chen, Stevens Institute of Technology, USAJie Yang, Stevens Institute of Technology<, USA
Session IX: Novel InteractionsWednesday, 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 FailsStephanie Rosenthal, Intel Research, Carnegie Mellon University, USAShaun K. Kane, University of Washington, USAJacob O. Wobbrock, University of Washington, USADaniel Avrahami, Intel Research
Session X: Psycho-Physiological SensingWednesday, September 29, 13:30-15:00Chair: 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, UKCecilia Mascolo, University of Cambridge, UK; Peter J. Rentfrow, University of Cambridge, UKChris 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, USAAnind 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
Session XI: Enhancing the Mobile ExperienceWednesday, September 29, 15:30-16:45Chair: 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, CanadaJulie Kientz, University of Washington, USATimothy Sohn, Nokia Research Center, Palo AltoAlyssa Rosenzweig, University of Toronto, CanadaAmanda Fonville, University of Washington, USA Tim Smith, University of Toronto, Canada
W01 – Mobile Context-Awareness: Capabilities, Challenges and ApplicationsW02 – Designing for Performative Interactions in Public SpacesW03 – Transnational Times: Locality, Globality and Mobility in Technology Design and UseW04 – SISSI 2010: Social Interaction in Spatially Separated EnvironmentsW05 – PaperComp 2010: 1st International Workshop on Paper ComputingW06 – UBI Challenge Workshop 2010:Real World Urban ComputingW07 – Ubiquitous CrowdsourcingW08 – Research in the large: Using App Stores, Markets and other wide distribution channels in UbiComp researchW09 – CASEMANS: The 4th ACM International Workshop on Context-Awareness for Self-Managing SystemsW10 – PerEd 2010: The Third Workshop on Pervasive Computing EducationW11 – UbiHealth 2010: The 5th International Workshop on Ubiquitous Health and WellnesW12 – UCSE2010: Workshop on Ubiquitous Computing for Sustainable EnergyW13 – DOME-IoT 2010: Digital Object Memories in the Internet of ThingsW14 - Context awareness and information processing in opportunistic ubiquitous systems
Workshops
Gracias