+ Using Idle Moment to Record Your Health via Mobile Applications Neal Lathia Computer Laboratory, University of Cambridge • • • • Introduction Related work Application Scenario Application Design Review Input, Information Output User Profiles Sharing Reviews • Early usage and data Reviews Received Is Anyone Sharing • Discussion Data without Diagnosis Reconnecting with each other • Conclusion + + In recent years the sales of mobile devices has exceeded that of personal computers. They have become items that we keep within arms length throughout over 75% of the day. Increasingly containing powerful sensors that can measure out activities. Two notable trends that are enabled by mobile systems are: 1. Users can collect data. 2. Users can contribute to data. Introduction Related work App Scenario App Design Early usage and data Discussion Conclusion + There is raising interest in using technology to deliver health related interventions. Examples Introduction of this are: 1. Novel mobile systems for psychology research. 1. Web based system for social psychology research. 1. Web based systems like “LifeGuid”. Related work App Scenario App Design Early usage and data Discussion Conclusion + Seeking One situation where the users may be idle. such situation is when people are in the lavatory. “New York Times” survey on the “rise of the toilet texture”. Ages between 28-35 Age above 65 91% use their phones 47% use their phones Of the 1000 survey respondents,75% admit on using their mobile phone while in the toilet. Introduction Related work App Scenario App Design Early usage and data Discussion Conclusion + Habits relating to and experiences of going to the lavatory reflect on a person’s well-being and quality of life. There is a vast range of disorders and illness that will negatively affect a person regularity in the lavatory such as food poisoning, bowel cancer, irritable bowel syndrome, diarrhea and constipation. The application described later is called: The (Poo) Review Introduction Related work App Scenario App Design Early usage and data Discussion Conclusion + Application 1. 2. 3. 4. Goals: Allow the user to anonymously input data and create a personal profile. Convey educational information. Empower uses to share reviews. Make it fun and simple to use. The Application 1. 2. Introduction Related work uses two component: Android SDK for the native application. Google App Engine for storage and dynamic information delivery. App Scenario App Design Early usage and data Discussion Conclusion + When the user installs the application, the server allocates a unique, persistent six digit pin code to them. The home screen of the application greets the users with three buttons: Introduction 1. Review 2. My Profile 3. Friends Related work App Scenario App Design Early usage and data Discussion Conclusion + Introduction Related work App Scenario App Design Early usage and data Discussion Conclusion + Introduction Review Input, Information Output: the main task is for users to review their current bowel movement. They do so via a 4-fold review process: 1- Numerical Ratings: Quantity, Solidity, Satisfaction. 2- Categorical Choice: Ask the user to select a category choice that best describes their current stool. 3- Current Location: The user has a choice to chose a location to their review. 4- Textual Feedback: The users has an option of adding a short comment to their review. Related work App Scenario App Design Early usage and data Discussion Conclusion + The result page contains two main components: Personalized Feedback: The heading shows the time of the day, A smiley is dynamically set based on the last users rating. A textual fact relating to the users reviews. Generic Fact: Generic fact under “did you know?” collected from Wikipedia . A link to the source called “Read More”. Introduction Related work App Scenario App Design Early usage and data Discussion Conclusion + Introduction Related work App Scenario App Design Early usage and data Discussion Conclusion + : Introduction User Profiles: From the reviews that the user entered. A seven days statistics. The aggregate data. Sharing Reviews: Discussions with a variety of people regarding to share reviews resulted in diverging results. Related work App Scenario App Design Early usage and data Discussion Conclusion + The app was released to the Google Play market on March 19,2012. After one month 35 users used the application. Reviews Received: 217 review from 24 different users. The most times the app was used are (8 and 10 am) and (2 and 4 pm). The rating distribution. The normalized satisfaction. Introduction Related work App Scenario App Design Early usage and data Discussion Conclusion + Introduction Related work App Scenario App Design Early usage and data Discussion Conclusion + Introduction Related work App Scenario App Design Early usage and data Discussion Conclusion + Introduction Is anyone sharing: One quarter of the users enabled sharing. Six friendship ties have been established. Related work App Scenario App Design Early usage and data Discussion Conclusion + Problems to technology that enables health self monitoring: 1. Danger that over monitoring may lead to self diagnosis and stress. 2. Technological solutions for health contexts may negatively impact peoples tendencies to seek and give social support to those around them. Data Without Diagnosis: The application does not compare results , and does not give automated diagnosis. Reconnection with Each Other: The application help people overcome social stigma of openly talking about their experiences. Introduction Related work App Scenario App Design Early usage and data Discussion Conclusion + The application is light weighted and fun tool. It can be furthermore used as: The collection of diary data during periods of clinical trails. Introduction Using it for campaigns to educate people about symptoms. Support of questionnaires that web based systems targeted towards those with minor or diagnosed bowel conditions. More than one activity can be added. Related work App Scenario App Design Early usage and data Discussion Conclusion + Questions? Introduction Related work App Scenario App Design Early usage and data Discussion Conclusion