2008
DOI: 10.1007/s00779-008-0202-7
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Experiencing the Affective Diary

Abstract: PostprintThis is the accepted version of a paper published in Journal of personal and ubiquitous computing. This paper has been peer-reviewed but does not include the final publisher proof-corrections or journal pagination. Citation for the original published paper (version of record):Ståhl, A., Höök, K., Svensson, M., Taylor, A., Combetti, M. (2009) Experiencing the Affective Diary. Journal of personal and ubiquitous computingAccess to the published version may require subscription. (0)1223 479999 {annas,… Show more

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Cited by 138 publications
(84 citation statements)
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“…However, these tools can only record the surrounding environment of people, which ultimately includes everything that they encounter, but not the internal world, which comprises moods, thoughts and emotions. Therefore, current lifelogging tools do not provide people with a possibility to keep records of their mental life, which is crucial for some people who keep diaries [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…However, these tools can only record the surrounding environment of people, which ultimately includes everything that they encounter, but not the internal world, which comprises moods, thoughts and emotions. Therefore, current lifelogging tools do not provide people with a possibility to keep records of their mental life, which is crucial for some people who keep diaries [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…There are many wireless wearable sensors that are available today to provide continuous physiological signal measurements by connecting them to mobile platforms such as Affectiva Q Sensor [10] [14] and Affective Diary [15] are two systems that use electrodermal activity (EDA) to measure the arousal levels of individuals while carrying out their daily activities, while systems such as MOLMOD [16] use skin temperature and heart rate to detect pleasure and arousal levels in different locations. Perttula et al [17] employ heart rate as a measure of user experience in order to monitor the feelings of ice hockey game audiences using mobile phones with heart rate belts.…”
Section: Physiological Signalsmentioning
confidence: 99%
“…However, the system did not gather any additional contextual information, so the person could not accurately identify the leading factors to each emotional state. In a separate study, Ståhl et al [7] monitored physiological information and activity of participants and asked them to manually provide contextual information through self-reports. Using the information, they created an affective diary that helped people to better reflect on their emotional responses to daily-life activities.…”
Section: Relevant Workmentioning
confidence: 99%