MyLifeBits

Gemmell, Jim; Bell, Gordon; Lueder, Roger

doi:10.1145/1107458.1107460

Cited by 385 publications

(24 citation statements)

References 3 publications

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“…El proyecto MyLifeBits, de Microsoft Research, fue un destacado intento de cumplir con el sueño de Vannevar Bush. Con el objetivo de almacenar todo lo que pudiera capturarse, evolucionó hasta incluir prestaciones como la búsqueda a texto completo, anotaciones de texto y audio, e hipervínculos (Gemmell;Bell;Lueder, 2006). El mismo laboratorio de investigación de Microsoft desarrolló después SenseCam, una cámara portátil que toma fotos automáticamente, una especie de "caja negra" personal.…”

Section: Antecedentesunclassified

Lifelogging: el fenómeno de las “cajas negras” personales

Franganillo¹

2020

ThinKEPI

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Resumen: El lifelogging permite a las personas el registro digital de numerosos aspectos de la propia vida diaria. Traducido como "registro de las actividades vitales", suele practicarse con diversos grados de detalle y para una amplia variedad de propósitos. Es un registro continuo que actúa como apoyo a la memoria o incluso como sustituto de ella, y que constituye así, de alguna manera, una "caja negra", exhaustiva y rigurosa, de ciertas actividades cotidianas. Ofrece, en consecuencia, un gran potencial para extraer conocimiento sobre cómo vivimos. Aunque la "captura total" parece por ahora irrealizable, sí es posible generar registros que, a pesar de ser inevitablemente parciales o fragmentados, resultan de gran utilidad en un buen número de escenarios en los que una persona puede inferir conocimiento sobre sí misma para su propio beneficio. Pero se debe tener presente que el almacenamiento de estos datos personales en espacios remotos presenta ciertos riesgos y debe entonces considerarse con cautela.

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Section: Antecedentesunclassified

Lifelogging: el fenómeno de las “cajas negras” personales

Franganillo¹

2020

ThinKEPI

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“…Unified on the concept of "total capture" with a primary goal of serving as a memory aid, a variety of lifelogging systems appeared to focus on capturing as much data as possible about individuals' behavior (Hodges et al, 2006;Hori & Aizawa, 2003) and providing usable ways of accessing that data (Adar, Karger, & Stein, 1999;Dumais et al, 2003;Gemmell, Bell, & Lueder, 2006;Gemmell, Bell, Lueder, Drucker, & Wong, 2002). This style of lifelogging work attracted criticism and lost favor in the research world when it became apparent that the collection of these huge archives of disparate data did not lead to compelling applications (Sellen & Whittaker, 2010).…”

Section: Lifeloggingmentioning

confidence: 99%

Evolving the Ecosystem of Personal Behavioral Data

Wiese

Das

Hong

et al. 2017

Human–Computer Interaction

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“…As pointed out by several researchers working on collecting such data and developing techniques to use such data [Gemmell et al, 2006, Lee et al, 2010, all this data could now be used by the person or by somebody else, with appropriate permissions, to analyze and understand this data for recollecting, reflecting, retrieving, recalling, and reminiscing on her life. As pointed out by several researchers working on collecting such data and developing techniques to use such data [Gemmell et al, 2006, Lee et al, 2010, all this data could now be used by the person or by somebody else, with appropriate permissions, to analyze and understand this data for recollecting, reflecting, retrieving, recalling, and reminiscing on her life.…”

Section: An Emerging Applicationmentioning

confidence: 99%

Managing Event Information: Modeling, Retrieval, and Applications

Gupta¹,

Jain²

2011

Synthesis Lectures on Data Management

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All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means-electronic, mechanical, photocopy, recording, or any other except for brief quotations in printed reviews, without the prior permission of the publisher. Managing Event Information: Modeling, Retrieval, and Applications ABSTRACTWith the proliferation of citizen reporting, smart mobile devices, and social media, an increasing number of people are beginning generate information about events they observe and participate in. A significant fraction of this information contain multimedia data to share the experience with their audience. A systematic information modeling and management framework is necessary to capture this widely heterogeneous, schemaless, potentially humongous information produced by many different people. This book is an attempt to examine the modeling, storage, querying, and applications of such an event management system in a holistic manner. It uses a semantic-web style graph-based view of events, and shows how this event model, together with its query facility, can be used toward emerging applications like semi-automated storytelling.

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MyLifeBits

Abstract: Developing a platform for recording, storing, and accessing a personal lifetime archive.

Cited by 385 publications

References 3 publications

Lifelogging: el fenómeno de las “cajas negras” personales

Lifelogging: el fenómeno de las “cajas negras” personales

Evolving the Ecosystem of Personal Behavioral Data

Managing Event Information: Modeling, Retrieval, and Applications

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