Filtered by themeWell-being8 papersclear ✕

User Feedback Design in AI-Driven Mood Tracker Mobile AppsHsi Yuan Chu, Yvette Shen(B) · 2022AI-driven civilian healthcare systems can offer personalized mental health care to more people. When users provide feedback to the system, they can influence the results of the AI models and improve their user experiences over time. In this study, we investigate feedback designs in mood tracker apps and identify feedback implementation opportunities through the lens of user expe- rience and user interface design. We reviewed the feedback designs on popular mood tracker apps and discovered that the feedback mechanisms were not reg- ularly implemented in all stages of tracking moods. To explore feedback design opportunities in line with user actions, user mindsets, and user emotions, a journey map was developed to visualize the interaction with a mood tracker app from the user perspective. Based on the journey map, a mood tracker app prototype was created for the purpose of user testing. The preliminary user testing results vali- dated some feedback design recommendations that highlight the human-centered design approach of crafting user experiences that leverage AI.

UX of AI & PersonalizationResearch Papers

Towards User-Centric Intervention Adaptiveness: Influencing Behavior-Context Based Healthy Lifestyle InterventionsReceived September · 2020In the era of digital well-being, smart gadgets are the unobtrusive sources of acquiring infor- mation. A variety of personalized wellness applications support self-quantification based recommendations to provide wellness status for achieving personalized targets. However, these applications are unable to promote the induction of new healthy habits and thus are not too much effective for long term as users tend to loose their interest. Thus, we have proposed a methodology for User-Centric Adaptive Intervention based on behavior change theory for maintaining end-users’ interest. The methodology consists of four steps: (1) quantification of behavior based on contributing factors governed by expert-driven rules; (2) behavior-context based mapping for the identification of behavior status of the user; (3) selection of appropriate way of intervention to get fruitful outcomes; and finally (4) feedback based evaluation on the basis of recorded activities and questionnaires for satisfaction. A comprehensive healthy behavior index- based quantification supports the machine learning-based prediction model for behavior-context mapping. Furthermore, the evaluation is performed through implicit and explicit feedback analysis along with the accuracy of the behavior-context prediction model through multiple scenarios to cover comprehensive situations. The ensemble classifier suggests the accuracy of 98.02% for the behavior-context prediction model, which is higher than the other classifiers. The gain in behavior change is drawn from implicit feedback, which depicts that behavior context-based methods have improved the adaptation in behavior at a steady pace for the long term. The explicit feedback from 99 end-users of wellness application based on the proposed methodology obtained Good and Desired status for widely used System Usability Score and AttrakDiff tools respectively. INDEX TERMS User behavior, behavior-context, lifestyle, lifelog monitoring, self-quantification, healthy behavior index, adaptive interventions.

UX of AI & PersonalizationResearch Papers

Research on the Influence of Visual Factors on Emotion Regulation Interaction2021To guide the design direction of emotion regulation products that improve the positive emotions of users, investigation into the correlation between relevant visual factors and multi-dimensional complex emotions is needed. In the present study, an extended product emotion measurement method was adopted to describe the multi-dimensional emotional set of each influencing factor and calculate their weight according to the order. The positive and negative emotion indicators of all influencing factors were compared and the evaluation and ranking factors that affect users' emotional value of emotion regulation products were analyzed. The experimental results reveal that specific emotion mapping scenes on positive emotion are the most significant among the key factors affecting user emotion. Further, the influence of emotional stickers, interactive data visualization, and text on positive emotions decreased in turn. The influence of emotional text on positive emotion was the lowest. Through investigating the visual factors that affect the psychological emotions of users, the development of emotion regulating products could be guided in a more scientific and reasonable manner.

Emotional DesignResearch Papers

Using Emotional Design To Make Memories And Enhance Using Emotional Design To Make Memories And Enhance Relationships Relationships2019We have all experienced this. When we see a thing, the memory of it will come back in our minds no matter how many years have passed. This is the power of memory. What follows is our feelings and emotional reaction to this memory. Reminders of happy memories can bring back pleasant feelings tied to the original experience, regulate positive emotion and promote better well-being. This paper will focus on using emotional design to generate and recall positive memories in order to develop healthy relationships.

Emotional DesignResearch Papers

Positive Technology, Computing, and Design: Shaping a Future in Which Technology Promotes Psychological Well-BeingAndrea Gaggioli · 2017More and more of our daily activities depend on some kind of interactive device or digital service. Furthermore, the use of information and communication technologies (ICTs) is not limited to the long hours that we spend at the office. Our free time, too, has been increasingly colonized by technology-mediated experiences delivered through smartphones, tablets, and other personal wearable devices. Even sport activities have been infiltrated by technologies from fitness trackers to wearable action cams.

Emotional DesignResearch Papers

Emotions in Design for ValuesPieter Desmet · 2015The contributions to this handbook show that technology is not value neutral, as is often thought. In this chapter, we argue that the inherent value-ladenness of technology evokes positive and negative emotions of the people who encounter or use it, by touching upon their personal and moral values. These emotions enable people to make concrete practical and moral judgments and to act accord- ingly. In this chapter, it is therefore proposed that emotions of users and designers alike should not be marginalized as being irrational and irrelevant, but instead be embraced as valuable gateways to values. Emotions reveal those values that matter to our well-being given a particular design or technology, and they are an important source of moral knowledge by being crucial to our capacity of moral reflection. This chapter discusses six sources of emotions in human-technology interaction and proposes how an understanding of user emotions can support design processes. In addition, the chapter discusses how emotions can resolve the lack of moral considerations in traditional approaches that assess the desirability of technology. It is argued that emotions do this by opening the gateway to moral considerations, such as responsibility, autonomy, risk, justice, and equity. This means that moral emotions can – and should – play an important role in the development of technology and can be considered to be indicators of success and failure in value-driven design processes.

Emotional DesignResearch Papers

SMARTPHONE FOR SELF-MANAGEMENT OF PSYCHOLOGICAL STRESS: A PRELIMINARY EVALUATION OF POSITIVE TECHNOLOGY APPSILVIA SERINO, PIETRO CIPRESSO et al. · 2014In recent years, there is growing interest in the use of advanced technologies for suppor- ting well-being. The aim of this study was to test the efficacy of Positive Technology, the first application for smartphone and tablet that exploits the potential of new technologies and wearable biosensors for the self-management of psychological stress. 68 users who performed guided rela- xation or biofeedback exercises for at least 120 seconds were included in the sample. The stress management exercises performed with the application were effective in reducing users’ psycholo- gical stress level. It is possible to note a significant decrease in the arousal, associated with a con- comitant increase in the hedonic valence after the stress management exercises. A decrease in heart rate values was observed, although it was not statistically significant. Although preliminary, overa- ll these data suggest that even a brief stress management exercise carried out on a mobile application might be useful to reduce psychological discomfort.

Emotional DesignResearch Papers

Positive Psychology and Digital Games: The Role of Emotions and Psychological Flow in Serious Games DevelopmentAndreas Alexiou, Michaéla Schippers et al. · 2012In this paper we will discuss how positive psychology can contribute to the design of digital games and in particular training applications like Serious Games. While digital games have been known for their ability to deeply immerse users, stimulate the senses and tap into a broad range of emotions, it has proven rather challenging to use them as a vehicle for pedagogy. Relevant research is still at its infancy and many of the mechanisms that foster knowledge creation and enhance learning need to be mapped out before scripted in the game. The theory of psychological flow and the role of positive emotions in broadening people's thought-action repertoires bring some practical insights and pave the path for tackling some important design questions. Yet there are still major challenges and uncharted waters to be explored in order for the technology to deliver what has been promised.

Emotional DesignResearch Papers