We describe the design and evaluation of POND, a Pattern-Oriented Nutrition Diary. POND is a mobile-phone food diary designed using a theory-driven approach to address a common challenge users report when using food diaries on mobile phones: the amount of effort required to create food entries in relation to the perceived self-benefit of self-monitoring food intake. The design allows users to create food entries either via a traditional database lookup or a streamlined '+1' approach. 24 people used POND to create predefined food entries. We found people preferred different approaches to creating entries, which reflected their self-reported nutrition concerns. This supports an argument for rethinking traditional approaches to designing food diaries.

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In this paper, we discuss the efforts underway at the Pacific Northwest National Laboratory in understanding the dynamics of multi-party discourse across a number of communication modalities, such as email, instant messaging traffic and meeting data. Two prototype systems are discussed. The Conversation Analysis Tool (ChAT) is an experimental test-bed for the development of computational linguistic components and enables users to easily identify topics or persons of interest within multi-party conversations, including who talked to whom, when, the entities that were discussed, etc. The Retrospective Analysis of Communication Events (RACE) prototype, leveraging many of the ChAT components, is an application built specifically for knowledge workers and focuses on merging different types of communication data so that the underlying message can be discovered in an efficient, timely fashion.

Abbreviations: (BALANCE) Bioengineering Approaches for Lifestyle Activity and Nutrition Continuous Engagement, (GIS) geographic information system, (GPS) global positioning system, (MSB) multisensor board, (USDA) United States Department of Agriculture Keywords: activity, energy balance, food diary, real-time assessment, self-monitoring AbstractMethods that measure energy balance accurately in real time represent promising avenues to address the obesity epidemic. We developed an electronic food diary on a mobile phone that includes an energy balance visualization and computes and displays the difference between energy intake from food entries and energy expenditure from a multiple-sensor device that provides objective estimates of energy expenditure in real time. A geographic information system dataset containing locations associated with activity and eating episodes is integrated with an ArcPad mapping application on the phone to provide users with a visual display of food sources and locations associated with physical activity within their proximal environment. This innovative tool captures peoples' movement through space and time under free-living conditions and could potentially have many health-related applications in the future.

We describe the design and evaluation of POND, a Pattern-Oriented Nutrition Diary. POND is a mobile-phone food diary designed using a theory-driven approach to address a common challenge users report when using food diaries on mobile phones: the amount of effort required to create food entries in relation to the perceived self-benefit of self-monitoring food intake. The design allows users to create food entries either via a traditional database lookup or a streamlined '+1' approach. 24 people used POND to create predefined food entries. We found people preferred different approaches to creating entries, which reflected their self-reported nutrition concerns. This supports an argument for rethinking traditional approaches to designing food diaries.