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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Thomas B. Sheridan.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Hutchings, Cédric (Cédric Nils), 1976-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Aeronautics and Astronautics</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2005-08-24T20:17:21Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2002</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2002.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaf 58).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The overall objectives of the project were to conceive, design, implement and evaluate a portable personal health advisor. The system would integrate data from various sources and handheld computers on a real-time basis to provide "advice" (intelligent and knowledge) anytime and anywhere so that a consumer can take practical and immediate actions to maximize their vitality to enjoy life. The conception phase included the identification of technologies and approach to deliver personal and real-time advice at points of decision. Using this knowledge, I developed a prototype in the context of a person shopping in a pharmacy or market to ensure that foods, medicines or other products do not pose hazards relative to that person's known medical condition. In order to implement a real-life and thus estimate the usability and the user's perception of the system, we chose to focus on Type II diabetics in this first phase. A field test was run at a Research Laboratory of the major project sponsor, Procter &amp; Gamble. The experiment confirmed the great appeal of decision-aiding system for people who have to manage strict or complex diet. It also underlined its design challenges, because even an ubiquitous device that provides "perfect advice" would promote a long-term behavior change only if human factor issues related to trust, privacy and user perception are carefully analyzed. It finally revealed the need for a trusted infrastructure, and some of the difficulties to overcome in order to implement the system in a large scale.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Cédric Hutchings.</dim:field>
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   	&lt;Abstract>The overall objectives of the project were to conceive, design, implement and evaluate a portable personal health advisor. The system would integrate data from various sources and handheld computers on a real-time basis to provide &amp;quot;advice&amp;quot; (intelligent and knowledge) anytime and anywhere so that a consumer can take practical and immediate actions to maximize their vitality to enjoy life. The conception phase included the identification of technologies and approach to deliver personal and real-time advice at points of decision. Using this knowledge, I developed a prototype in the context of a person shopping in a pharmacy or market to ensure that foods, medicines or other products do not pose hazards relative to that person&amp;apos;s known medical condition. In order to implement a real-life and thus estimate the usability and the user&amp;apos;s perception of the system, we chose to focus on Type II diabetics in this first phase. A field test was run at a Research Laboratory of the major project sponsor, Procter &amp;amp; Gamble. The experiment confirmed the great appeal of decision-aiding system for people who have to manage strict or complex diet. It also underlined its design challenges, because even an ubiquitous device that provides &amp;quot;perfect advice&amp;quot; would promote a long-term behavior change only if human factor issues related to trust, privacy and user perception are carefully analyzed. It finally revealed the need for a trusted infrastructure, and some of the difficulties to overcome in order to implement the system in a large scale.&lt;/Abstract>
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