Stress detection in daily life scenarios using smart phones and wearable sensors: A survey.

The Experience Sampling Method (ESM) is used by scientists from various disciplines to gather insights into the intra-psychic elements of human life. Researchers have used the ESM in a wide variety of studies, with the method seeing increased popularity. Mobile technologies have enabled new possibilities for the use of the ESM, while simultaneously leading to new conceptual, methodological, and technological challenges. In this survey, we provide an overview of the history of the ESM, usage of this methodology in the computer science discipline, as well as its evolution over time. Next, we identify and discuss important considerations for ESM studies on mobile devices, and analyse the particular methodological parameters scientists should consider in their study design. We reflect on the existing tools that support the ESM methodology and discuss the future development of such tools. Finally, we discuss the effect of future technological developments on the use of the ESM and identify areas requiring further investigation.

/pdf/the-experience-sampling-method-on-mobile-devices-2sp1765hg0.pdf

The Experience Sampling Method on Mobile Devices

Designers have demonstrated an increased interest in designing for reflection. However, that work currently occurs under a variety of diverse auspices. To help organize and investigate this literature, this paper present a review of research on systems designed to support reflection. Key findings include that most work in this area does not actually define the concept of reflection. We also find that most evaluations do not focus on reflection per se rather but on some other outcome arguably linked to reflection. Our review also describes the relationship between reflection and persuasion evidenced implicitly by both rhetorical motivations for and implementation details of system design. After discussing the significance of our findings, we conclude with a series of recommendations for improving research on and design for reflection.

Reviewing reflection: on the use of reflection in interactive system design

This paper addresses the question of how design can contribute to the happiness of individuals–to their subjective well-being. A framework for positive design is introduced that includes three main components of subjective well-being: pleasure, personal significance and virtue. Each component represents an ingredient of design for happiness, and we propose that design that expressly includes all three ingredients is design that promotes human flourishing. People who flourish are developing as individuals, live their lives to their fullest potential, and act in the best interests of society. The intention to support human flourishing is the explicit, central design objective of positive design. Five characteristics of positive design are proposed, all of which are of relevance to organizing design processes that intend to result in designs that stimulate human flourishing. In addition, some contemporary design approaches are discussed that focus on quality of life, including nudge, capability approach, and experience design. Four important research challenges are outlined to indicate directions for a research agenda. Together with the framework, these research directions are intended to offer inspiration for designers and design researchers to join forces in their endeavours to design for subjective well-being.

/pdf/positive-design-an-introduction-to-design-for-subjective-1tjgof5am8.pdf

Positive design : An introduction to design for subjective well-being

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.

https://dl.acm.org/doi/pdf/10.1145/2971648.2971752

EmotionCheck: leveraging bodily signals and false feedback to regulate our emotions

As people document more of their lives online, some recent systems are encouraging people to later revisit those recordings, a practice we're calling technology-mediated reflection (TMR). Since we know that unmediated reflection benefits psychological well-being, we explored whether and how TMR affects well-being. We built Echo, a smartphone application for recording everyday experiences and reflecting on them later. We conducted three system deployments with 44 users who generated over 12,000 recordings and reflections. We found that TMR improves well-being as assessed by four psychological metrics. By analyzing the content of these entries we discovered two mechanisms that explain this improvement. We also report benefits of very long-term TMR.

/pdf/echoes-from-the-past-how-technology-mediated-reflection-162o2eqjut.pdf

Echoes from the past: how technology mediated reflection improves well-being

Automated coaching systems offer a convenient, cost-effective way to reduce stress, which can be a serious health issue. However, one concern with such systems is compliance; users fail to achieve daily stress reduction goals because goals are too easy or too difficult. To address this, we built DStress (Design for Stress), a theoretically grounded system that sets adaptive goals in three coaching dimensions: Exercise, Meditation and Accessibility. DStress modifies goal-difficulty based on the individual's immediately previous performance. In a 28-day deployment with 65 users, DStress reduced scores on one direct measure of stress almost in half, significantly more than two other non-adaptive coaching strategies. However, on a second direct stress measure, no improvement was found. There were also no improvements on other indirect stress measures. Analysis of 2842 user-generated reports suggests our findings were the result of DStress balancing compliance against the degree of challenge of the goals it would set.

http://www.artiekonrad.com/wp-content/uploads/2012/12/Konrad-DStress-CHI2015.pdf

Finding the Adaptive Sweet Spot: Balancing Compliance and Achievement in Automated Stress Reduction

We explore the Examined Life, informing the design of reflective systems to promote emotional well-being, a critical health issue. People now have increasingly rich, digital records of highly personal data about what they said, did, and felt in the past. But social science research shows that people have difficulty in tracking and regulating their emotions. New reflective technologies that promote constructive analysis of rich personal data potentially offer transformative ways that individuals might better understand themselves and improve well-being. However, there are important system design challenges in supporting effective reflection about personal data. We explore fidelity in recording and representing past personal mood data, and forecasting future actions, feelings, and thoughts. Much prior personal informatics work has been dedicated to past-centric tools for recording and capture. In contrast, forecasting examines how we might use such past data to inform and motivate our future selves, providing recommendations about remedial actions to improve future well-being. Fidelity addresses both how and what reflective systems should show people about their pasts, in particular whether we should filter negative past experiences. To inform reflective system design, we examine forecasting and fidelity in controlled field trial interventions that explore two novel system designs for presenting and reflecting on mood data. We detail findings from 165 participants, 4,693 participant logfiles, 65 surveys, and 15 user interviews. Our novel forecasting system, EmotiCal, uses past mood data to model and visualize future user moods with the goal of encouraging participants to adopt remedial new behaviors to regulate negative moods before they occur. Such forecasting both improved mood and subsequent emotional self-awareness compared with controls who simply monitored their past. Consistent with system goals, interview responses also indicated that participants generated important insights into behaviors that affect their moods. Our second intervention examined filtering; it assessed the impact on well-being of recording and revisiting past experiences containing negative emotions. We compared participants who were encouraged to record and reflect on positive versus negative experiences. Long-term measures of happiness and ruminative behaviors improved by recording and reflecting on positive but not negative experiences, although this depended on the intensity of the negative experience. We discuss general design and theory implications for future systems that support monitoring, reflection, and forecasting to facilitate productive examination of our emotional lives.

What Does All This Data Mean for My Future Mood? Actionable Analytics and Targeted Reflection for Emotional Well-Being

Preventable behaviors contribute to many life threatening health problems. Behavior-change technologies have been deployed to modify these, but such systems typically draw on traditional behavioral theories that overlook affect. We examine the importance of emotion tracking for behavior change. First, we conducted interviews to explore how emotions influence unwanted behaviors. Next, we deployed a system intervention, in which 35 participants logged information for a self-selected, unwanted behavior (e.g., smoking or overeating) over 21 days. 16 participants engaged in standard behavior tracking using a Fact-Focused system to record objective information about goals. 19 participants used an Emotion-Focused system to record emotional consequences of behaviors. Emotion-Focused logging promoted more successful behavior change and analysis of logfiles revealed mechanisms for success: greater engagement of negative affect for unsuccessful days and increased insight were key to motivating change. We present design implications to improve behavior-change technologies with emotion tracking.

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Change of Heart: Emotion Tracking to Promote Behavior Change

This study posits that graphicon use follows an evolutionary trajectory characterized by stages. Drawing on evidence that the uses and functions of emoticons have changed over time and that the introduction of emoji affected the popularity and usage of emoticons, we examine the uses of the newer types, emoji and stickers, and consider the relationship of stickers to emoji. Adapting the apparent-time method from the sociolinguistic study of language change, we compare sticker and emoji use by English-speaking Facebook Messenger users, exploring how they are used and under what conditions using semi-structured interviews and a large-scale survey. Stickers are argued to be more pragmatically marked for emotional intensity, positivity, and intimacy, characteristic of a more recent stage of evolution, while emoji use exhibits signs of conventionalization and pragmatic unmarking. The identification of patterns that characterize evolutionary stages has implications for future graphicon use.

Artie Konrad

Papers

Echoes from the past: how technology mediated reflection improves well-being

Finding the Adaptive Sweet Spot: Balancing Compliance and Achievement in Automated Stress Reduction

What Does All This Data Mean for My Future Mood? Actionable Analytics and Targeted Reflection for Emotional Well-Being

Change of Heart: Emotion Tracking to Promote Behavior Change

Sticker and Emoji Use in Facebook Messenger: Implications for Graphicon Change