12,574 research outputs found

    Emotions in context: examining pervasive affective sensing systems, applications, and analyses

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    Pervasive sensing has opened up new opportunities for measuring our feelings and understanding our behavior by monitoring our affective states while mobile. This review paper surveys pervasive affect sensing by examining and considering three major elements of affective pervasive systems, namely; “sensing”, “analysis”, and “application”. Sensing investigates the different sensing modalities that are used in existing real-time affective applications, Analysis explores different approaches to emotion recognition and visualization based on different types of collected data, and Application investigates different leading areas of affective applications. For each of the three aspects, the paper includes an extensive survey of the literature and finally outlines some of challenges and future research opportunities of affective sensing in the context of pervasive computing

    360 Quantified Self

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    Wearable devices with a wide range of sensors have contributed to the rise of the Quantified Self movement, where individuals log everything ranging from the number of steps they have taken, to their heart rate, to their sleeping patterns. Sensors do not, however, typically sense the social and ambient environment of the users, such as general life style attributes or information about their social network. This means that the users themselves, and the medical practitioners, privy to the wearable sensor data, only have a narrow view of the individual, limited mainly to certain aspects of their physical condition. In this paper we describe a number of use cases for how social media can be used to complement the check-up data and those from sensors to gain a more holistic view on individuals' health, a perspective we call the 360 Quantified Self. Health-related information can be obtained from sources as diverse as food photo sharing, location check-ins, or profile pictures. Additionally, information from a person's ego network can shed light on the social dimension of wellbeing which is widely acknowledged to be of utmost importance, even though they are currently rarely used for medical diagnosis. We articulate a long-term vision describing the desirable list of technical advances and variety of data to achieve an integrated system encompassing Electronic Health Records (EHR), data from wearable devices, alongside information derived from social media data.Comment: QCRI Technical Repor

    Using Mobile Apps to Support the Implementation of Coping-relevant Behaviour Change Techniques for Self-management of Stress

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    Mobile apps have shown potential in early stress self-management interventions, yet they remain less beneficial than face-to-face therapies. One of the most effective ways people can cope with stress is to identify what their stressors are and take action in managing them. Coping-relevant behaviour change techniques (BCTs), such as self-monitoring, goal setting, and action planning, have the potential to support this process. Nevertheless, there is little guidance on how to incorporate such techniques into stress management apps. Drawing on mixed methods research, this thesis provides two contributions. First, it improves our understanding of how existing stress management apps support coping-relevant BCTs and suggests areas for improvements. An app functionality review and follow-up 3-week intervention using Welltory stress monitoring and Coach.me goal setting apps revealed that existing apps do not support users’ efforts with coping-relevant BCTs. Participants reported that Welltory did not yield sufficient data to gain insights into the factors affecting their stress. Relatedly, the way in which these apps implemented coping-relevant BCTs diminished peoples’ sense of autonomy and competence. Drawing on peoples’ experiences with existing apps and principles of positive computing, the second contribution of this thesis is the design and evaluation of Reffy - a chatbot prototype that integrates coping-relevant BCTs in a way that meets people’s stress management needs. Based on findings from a field evaluation study, we identify specific benefits and challenges of using a stress self-management chatbot. We find that chatbot-based reflective questioning helps people identify how factors impact their stress during early stages of self-tracking. Likewise, adding features that promote users’ sense of autonomy and competence improves Welltory’s ability to support coping strategies. This thesis advances our understanding of how behaviour change and stress coping techniques can be incorporated into mobile apps to effectively support stress self-management

    Training Effects of Adaptive Emotive Responses From Animated Agents in Simulated Environments

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    Humans are distinct from machines in their capacity to emote, stimulate, and express emotions. Because emotions play such an important role in human interactions, human-like agents used in pedagogical roles for simulation-based training should properly reflect emotions. Currently, research concerning the development of this type of agent focuses on basic agent interface characteristics, as well as character building qualities. However, human-like agents should provide emotion-like qualities that are clearly expressed, properly synchronized, and that simulate complex, real-time interactions through adaptive emotion systems. The research conducted for this dissertation was a quantitative investigation using 3 (within) x 2 (between) x 3 (within) factorial design. A total of 56 paid participants consented to complete the study. Independent variables included emotion intensity (i.e., low, moderate, and high emotion), levels of expertise (novice participant versus experienced participant), and number of trials. Dependent measures included visual attention, emotional response towards the animated agents, simulation performance score, and learners\u27 perception of the pedagogical agent persona while participants interacted with a pain assessment and management simulation. While no relationships were indicated between the levels of emotion intensity portrayed by the animated agents and the participants\u27 visual attention, emotional response towards the animated agent, and simulation performance score, there were significant relationships between the level of expertise of the participant and the visual attention, emotional responses, and performance outcomes. The results indicated that nursing students had higher visual attention during their interaction with the animated agents. Additionally, nursing students expressed more neutral facial expression whereas experienced nurses expressed more emotional facial expressions towards the animated agents. The results of the simulation performance scores indicated that nursing students obtained higher performance scores in the pain assessment and management task than experienced nurses. Both groups of participants had a positive perception of the animated agents persona

    CGAMES'2009

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