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A framework for user controlled remembering and forgetting in long term user models

Published: 17 September 2011 Publication History

Abstract

Ubiquitous computing aims to provide personalised services. To do so, it captures and stores huge set of personal data in the user models. These stores pose challenges for effective user control and privacy. This thesis aims to tackle some of these by creating mechanisms and interfaces for forgetting. The key contributions of this research are to establish the theoretical foundations for the design of mechanisms for forgetting in such models, and to develop and evaluate the framework and its interfaces for users to control these mechanisms.

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Cited By

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  • (2018)Artificial Empathic MemoryProceedings of the 2018 Workshop on Understanding Subjective Attributes of Data, with the Focus on Evoked Emotions10.1145/3267799.3267801(1-8)Online publication date: 15-Oct-2018

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cover image ACM Conferences
UbiComp '11: Proceedings of the 13th international conference on Ubiquitous computing
September 2011
668 pages
ISBN:9781450306300
DOI:10.1145/2030112
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 17 September 2011

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Author Tags

  1. forgetting in computing systems
  2. human forgetting
  3. ubiquitous computing
  4. user control
  5. user model

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Ubicomp '11

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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View all
  • (2018)Artificial Empathic MemoryProceedings of the 2018 Workshop on Understanding Subjective Attributes of Data, with the Focus on Evoked Emotions10.1145/3267799.3267801(1-8)Online publication date: 15-Oct-2018

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