We performed a content analysis of the information shared in a locally and culturally focused health application, EatWell. In EatWell, information is shared via the creation of audio recordings. Our results highlight the reflective nature of these recordings, in particular, 1) the topics discussed in these reflections as well as their tone, 2) how these reflections were contextualized (locally and culturally) and 3) how system users addressed one another in their reflections. We compare our findings with the dominant technological approach to supporting health information exchange amongst lay people: online support groups. In particular, we reflect upon why, though many of the community-building features of online support groups did not translate into EatWell, our users felt a sense of community empowerment. Based on our results, we discuss implications for designing locally and culturally focused health applications that leverage reflection as a contribution method.

Researchers have designed a variety of systems that promote wellness. However, little work has been done to examine how casual mobile games can help adults learn how to live healthfully. To explore this design space, we created OrderUP!, a game in which players learn how to make healthier meal choices. Through our field study, we found that playing OrderUP! helped participants engage in four processes of change identified by a well-established health behavior theory, the Transtheoretical Model: they improved their understanding of how to eat healthfully and engaged in nutrition-related analytical thinking, reevaluated the healthiness of their real life habits, formed helping relationships by discussing nutrition with others and started replacing unhealthy meals with more nutritious foods. Our research shows the promise of using casual mobile games to encourage adults to live healthier lifestyles.

Previous research has explored how technology can motivate healthy living in social groups such as friends and coworkers. However, little research has focused on the implications of collecting, sharing, and reflecting upon health information within families. To explore this domain, we conducted a study that consisted of a week-long journaling activity followed by semi-structured interviews and formative design activities with 15 families (66 people). We identified four areas in which these practices are unique in a family context. Based on these findings we propose preliminary considerations for technologies that effectively support family reflections on health data.

We present the results of our study of 15 working parents, and how they manage their life scheduling needs, that is, how they manage their personal and professional schedules across settings and calendaring tools. In particular, we discuss how their dual roles of parent and employee compel them to record personal information on their professional calendars and we detail the tensions that arise in doing so. Finally, we present suggestions for future calendaring applications that better support working parents in managing their life scheduling needs.

Food is a central part of our lives. Fundamentally, we need food to survive. Socially, food is something that brings people together-individuals interact through and around it. Culturally, food practices reflect our ethnicities and nationalities. Given the importance of food in our daily lives, it is important to understand what role technology currently plays and the roles it can be imagined to play in the future. In this paper we describe the existing and potential design space for HCI in the area of human-food interaction. We present ideas for future work on designing technologies in the area of human-food interaction that celebrate the positive interactions that people have with food as they eat and prepare foods in their everyday lives.

Low-income African American communities face a disproportionate amount of diet-related health problems in the United States. To address this issue, we developed EatWell, a system that allows people to use their cell phones to create voice memories describing how they have tried to eat healthfully in their neighborhoods (e.g., at local restaurants) and listen to the memories that others have created. In this paper, we describe the results of our field trial of EatWell, specifically characterizing how our participants were able to craft stories that were both emotive and culturally-relevant, the challenges that arose in creating these memories and finally how sharing these stories facilitated a sense of community empowerment. We conclude by presenting implications for the design of future applications that facilitate the sharing of health-related experiences.

Diagrams are a critical part of virtually all scientific and technical documents. Analyzing diagrams will be important for building comprehensive document retrieval systems. This paper focuses on the extraction and classification of diagrams from PDF documents. We study diagrams available in vector (not raster) format in online research papers. PDF files are parsed and their vector graphics components installed in a spatial index. Subdiagrams are found by analyzing white space gaps. A set of statistics is generated for each diagram, e.g., the number of horizontal lines and vertical lines. The statistics form a feature vector description of the diagram. The vectors are used in a kernel-based machine learning system (Support Vector Machine). Separating a set of bar graphs from non-bar-graphs gathered from 20,000 biology research papers gave a classification accuracy of 91.7%. The approach is directly applicable to diagrams vectorized from images.