Self-tracking physiological and psychological data poses the challenge of presentation and interpretation. Insightful narratives for self-tracking data can motivate the user towards constructive self-reflection. One powerful form of narrative that engages audience across various culture and age groups is animated movies. We collected a week of self-reported mood and behavior data from each user and created in Unity a personalized animation based on their data. We evaluated the impact of their video in a randomized control trial with a non-personalized animated video as control. We found that personalized videos tend to be more emotionally engaging, encouraging greater and lengthier writing that indicated self-reflection about moods and behaviors, compared to non-personalized control videos.
A diary provides a useful means to express inner thoughts and record experiences of past events. In re-readings, it also provides a resource for reflection, allowing us to re-experience, brood over or even shed the thoughts and feelings we've associated with events or people. To expand on the ways in which we creatively engage in diary-keeping, we have designed an affective diary that captures some of the physical, bodily aspects of experiences and emotions--what we refer to as "affective body memorabilia". The affective diary assembles sensor data, captured from the user and uploaded via their mobile phone, to form an ambiguous, abstract colourful body shape. With a range of other materials from the mobile phone, such as text and MMS messages, photographs, etc., these shapes are made available to the user. Combining these materials, the diary is designed to invite reflection and to allow the user to piece together their own stories. This paper describes the design and evaluation of AffectCam, a wearable system integrating SenseCam and BodyMedia SenseWear for capturing galvanic skin response as a measure of bodily arousal. AffectCam's algorithms use arousal as a filtering mechanism for selecting the most personally relevant photos captured during people's ordinary daily life, i.e. high arousal photos. We discuss initial findings showing that emotional arousal does improve the quality of memory recall associated with emotionally arousing events. In particular, the high arousal photos support richer recall of episodic memories than low arousal ones, i.e. over 50 improvement. We also consider how various phenomenological characteristics of autobiographical memories such as event, emotions, thoughts, place and time are differently cued by the AffectCam. In this paper we demonstrate that it is possible to help individuals regulate their emotions with mobile interventions that leverage the way we naturally react to our bodily signals. Previous studies demonstrate that the awareness of our bodily signals, such as our heart rate, directly influences the way we feel. By leveraging these findings we designed a wearable device to regulate user's anxiety by providing a false feedback of a slow heart rate. The results of an experiment with 67 participants show that the device kept the anxiety of the individuals in low levels when compared to the control group and the other conditions. We discuss the implications of our findings and present some promising directions for designing and developing this type of intervention for emotion regulation.