SharedLife: Towards Selective Sharing of Augmented Personal Memories
Identifieur interne : 000889 ( Main/Exploration ); précédent : 000888; suivant : 000890SharedLife: Towards Selective Sharing of Augmented Personal Memories
Auteurs : Wolfgang Wahlster [Allemagne] ; Alexander Kröner [Allemagne] ; Dominik Heckmann [Allemagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
English descriptors
- Teeft :
- Abstraction pipeline, Abstraction process, Access constraints, Adaptive hypermedia, Adaptive systems, Ambient intelligence, Automatic comparison shopping, Behavior understanding, Berlin heidelberg, Broad range, Cell phone, Communicative interaction, Constraint, Current context, Current situation, Decision tree, Digital content, Digital shopping list support, Episodic memories, Everyday life, Example scenario, General user model ontology, Grand challenges, Heckmann, Human memory, Instrumented, Instrumented environments, Instrumented shopping basket, Interface, International conference, Internet store, Introspection, Journal browser, Journal entry, Massive data stream, Meguro gajoen, Memory functions, Memory model, Memory services, Modeling, Networked infrastructure, Online shops, Ontology, Other functions, Personal experiences, Personal journal, Personal memories, Personal memory, Privacy constraints, Privacy preferences, Proactive product information, Rapid deployment, Reminder points, Retrieval, Rfid tags, Rfid technology, Saarland university, Scenario, Selective memory, Sensor, Sensor data, Sharedlife, Sharedlife project, Shopping assistance, Shopping behavior, Shopping experience, Shopping scenario, Soundtrack, Special interest, Specter, Such memories, Such situations, Ubiquitous, Ubiquitous user model, Ubiquitous user modeling, User, User interface, User model, User models, User support, Virtual shopping assistance, Wahlster, Wireless communication technologies.
Abstract
Abstract: The rapid deployment of low-cost ubiquitous sensing devices – including RFID tags and readers, global positioning systems, wireless audio, video, and bio sensors – makes it possible to create instrumented environments and to capture the physical and communicative interaction of an individual with these environments in a digital register. One of the grand challenges of current AI research is to process this multimodal and massive data stream, to recognize, classify, and represent its digital content in a context-sensitive way, and finally to integrate behavior understanding with reasoning and learning about the individual’s day by day experiences. This augmented personal memory is always accessible to its owner through an Internet-enabled smartphone using high-speed wireless communication technologies. In this contribution, we discuss how such an augmented personal memory can be built and applied for providing the user with context-related reminders and recommendations in a shopping scenario. With the ultimate goal of supporting communication between individuals and learning from the experiences of others, we apply this novel methods as the basis for a specific way of exploiting memories – the sharing of augmented personal memories in a way that doesn’t conflict with privacy constraints.
Url:
DOI: 10.1007/11829263_18
Affiliations:
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One of the grand challenges of current AI research is to process this multimodal and massive data stream, to recognize, classify, and represent its digital content in a context-sensitive way, and finally to integrate behavior understanding with reasoning and learning about the individual’s day by day experiences. This augmented personal memory is always accessible to its owner through an Internet-enabled smartphone using high-speed wireless communication technologies. In this contribution, we discuss how such an augmented personal memory can be built and applied for providing the user with context-related reminders and recommendations in a shopping scenario. With the ultimate goal of supporting communication between individuals and learning from the experiences of others, we apply this novel methods as the basis for a specific way of exploiting memories – the sharing of augmented personal memories in a way that doesn’t conflict with privacy constraints.</div></front></TEI><affiliations><list><country><li>Allemagne</li></country><region><li>Sarre (Land)</li></region><settlement><li>Sarrebruck</li></settlement></list><tree><country name="Allemagne"><region name="Sarre (Land)"><name sortKey="Wahlster, Wolfgang" sort="Wahlster, Wolfgang" uniqKey="Wahlster W" first="Wolfgang" last="Wahlster">Wolfgang Wahlster</name></region><name sortKey="Heckmann, Dominik" sort="Heckmann, Dominik" uniqKey="Heckmann D" first="Dominik" last="Heckmann">Dominik Heckmann</name><name sortKey="Heckmann, Dominik" sort="Heckmann, Dominik" uniqKey="Heckmann D" first="Dominik" last="Heckmann">Dominik Heckmann</name><name sortKey="Kroner, Alexander" sort="Kroner, Alexander" uniqKey="Kroner A" first="Alexander" last="Kröner">Alexander Kröner</name><name sortKey="Kroner, Alexander" sort="Kroner, Alexander" uniqKey="Kroner A" first="Alexander" last="Kröner">Alexander Kröner</name><name sortKey="Wahlster, Wolfgang" sort="Wahlster, Wolfgang" uniqKey="Wahlster W" first="Wolfgang" last="Wahlster">Wolfgang Wahlster</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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