Smartphones for Large-Scale Behavior Change Interventions

Lathia, Neal; Pejović, Veljko; Rachuri, Kiran K.; Mascolo, Cecilia; Musolesi, Mirco; Rentfrow, Peter J.

doi:10.1109/mprv.2013.56

Cited by 189 publications

(119 citation statements)

References 13 publications

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“…For example, the app developed by scientists at Oxford University (such as psychologist Professor Charles Spence, who has studied the importance of taste perception) in collaboration with JustEat, a food delivery firm, uses face recognition technology to discern what mood the user is in and recommend her a specific meal or snack-for example avocados or dark chocolate if she feels angry and potatoes or chicken if she is happy [78]. Another example is Emotion Sense [79], which correlates users' emotions with other factors such as time of day, location, physical activities, phone calls, and SMS patterns.…”

Section: Emotional Trackingmentioning

confidence: 99%

Self-Monitoring of Emotions and Mood Using a Tangible Approach

Sarzotti

2018

Computers

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Nowadays Personal Informatics (PI) devices are used for sensing and saving personal data, everywhere and at any time, helping people improve their lives by highlighting areas of good and bad performances and providing a general awareness of different levels of conduct. However, not all these data are suitable to be automatically collected. This is especially true for emotions and mood. Moreover, users without experience in self-tracking may have a misperception of PI applications' limits and potentialities. We believe that current PI tools are not designed with enough understanding of such users' needs, desires, and problems they may encounter in their everyday lives. We designed and prototype the Mood TUI (Tangible User Interface), a PI tool that supports the self-reporting of mood data using a tangible interface. The platform is able to gather six different mood states and it was tested through several participatory design sessions in a secondary/high school. The solution proposed allows gathering mood values in an amusing, simple, and appealing way. Users appreciated the prototypes, suggesting several possible improvements as well as ideas on how to use the prototype in similar or totally different contexts, and giving us hints for future research.

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Section: Emotional Trackingmentioning

confidence: 99%

Self-Monitoring of Emotions and Mood Using a Tangible Approach

Sarzotti

2018

Computers

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“…These capabilities and complexities are perhaps most obvious in the area of digital behavior intervention systems [26]. These applications "close the loop" by not only collecting data from mobile phones but also providing effective feedback to the user according to his current personal state and social context.…”

Section: Trendsmentioning

confidence: 99%

Software engineering for mobility: reflecting on the past, peering into the future

Picco

Julien

Murphy

et al. 2014

Future of Software Engineering Proceedings

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At the end of the second millennium, mobility was a hot research topic. Physical mobility of devices was becoming commonplace with the availability of cheap wireless cards, the first attempts to transform phones into personal do-it-all devices were beginning to appear, and mobile ad hoc networks were attracting a huge interest from many research communities. Logical mobility of code was still going strong as a design option for distributed systems, with the Java language providing some of the ready-to-use building blocks. In 2000, when we put forth a research "roadmap" for software engineering for mobility, the challenges posed by this dynamic scenario were many.A decade and a half later, many things have changed. Mobility is no longer exotic: we juggle multiple personal devices every day while on the move, plus we grab and update applications on a whim from virtual stores. Indeed, some trends and visions we considered in our original paper materialized, while others faded, disappeared, or morphed into something else. Moreover, some players unexpected at the time (e.g., cloud computing and online social networks) appeared on the scene as game changers.In this paper we revisit critically our original vision, reflecting on the past and peering into the future of the lively and exciting research area of mobility. Further, we ask ourselves to what extent the software engineering community is still interested in taking up the challenges mobility bears.

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“…Mobile phones, with their ubiquitous presence in everyday life, are an ideal platform for persuasive technologies [26]. Several works (e.g., [3,12,18]), show that mobile applications can help people to adopt healthier lifestyles not only by suggesting health oriented practices, but also by supporting social pressure mechanisms, one of the main techniques psychologists adopt to foster behavior change [2].…”

Section: Technology and Behavior Changementioning

confidence: 99%