Feel

Ayzenberg, Yadid; Rivera, Javier Hernandez; Picard, Rosalind W.

doi:10.1145/2212776.2223802

Cited by 37 publications

(6 citation statements)

References 11 publications

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“…One approach treats it as a feature for objective detection of arousal, stress, or human emotion; systems in this approach typically attempt at detecting arousal states with some degree of accuracy. An example is the FEEL [1] system that uses triggers from mobile phone communications (such as receiving an SMS or an email) to record skin conductance and detect a stress level. Stress levels are then presented to users in a calendar or list view associated with the events that triggered them.…”

Section: Skin Conductancementioning

confidence: 99%

“…Stress levels are then presented to users in a calendar or list view associated with the events that triggered them. Another approach requires users to make their own inferences based on skin conductance, providing instead clues for assisting interpretation [1,5]. Particularly relevant to us are the systems that reflect long-term trends of skin conductance in everyday life.…”

Section: Skin Conductancementioning

confidence: 99%

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Ambiguity as a Resource to Inform Proto-Practices

Sanches

Höök

Sas

et al. 2019

ACM Trans. Comput.-Hum. Interact.

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Skin conductance is an interesting measure of arousal level, largely unfamiliar to most end-users. We designed a mobile application mirroring end-users' skin conductance in evocative visualizations, purposefully made ambiguous to invite rich interpretations. Twenty-three participants used the system for a month. Through the lens of a practice-based analysis of weekly interviews and the logged data, several quite different-sometimes even mutually exclusive-interpretations or proto-practices arose: as stress management; sports performance; emotion tracking; general life logging; personality representation; or behavior change practices. This suggests the value of a purposefully open initial design to allow for the emergence of broader proto-practices to be followed by a second step of tailored design for each identified goal to facilitate the transition from proto-practice to practice. We contribute to the HCI discourse on ambiguity in design, arguing for balancing openness and ambiguity with scaffolding to better support the emergence of practices around biodata. CCS Concepts: • Human-centered computing → Human computer interaction (HCI); Interaction design;

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Section: Skin Conductancementioning

confidence: 99%

Section: Skin Conductancementioning

confidence: 99%

Ambiguity as a Resource to Inform Proto-Practices

Sanches

Höök

Sas

et al. 2019

ACM Trans. Comput.-Hum. Interact.

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“…As a result, the application areas of affective [13] or biosensing wearables expand from medical monitoring to personal information applications (cf., Quantified Self 1 movement). Research has taken up on this development and focused on exploiting wearables to extract accurate information from the body's raw signals to provide value for users [1,6,8].…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, researchers explored user preferences for using wearables in different contexts [2,11]. While the design space of biometric and affective wearables 1 http://quantifiedself.com/ includes many dimensions, we chose to focus in this part of our research on identifying potential user needs with regard to aspects of utility, connectivity, and feedback of the new biometric and affective wearables. We aim to understand user interest in acquiring and sharing biometric and emotional information, as well as exploring new channels and modalities for presenting this information.…”

Section: Introductionmentioning

confidence: 99%

Investigating User Needs for Bio-sensing and Affective Wearables

Hassib¹,

Khamis²,

Schneegaß

et al. 2016

Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems

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Bio-sensing wearables are currently advancing to provide users with a lot of information about their physiological and affective states. However, relatively little is known about users' interest in acquiring, sharing and receiving this information and through which channels and modalities. To close this gap, we report on the results of an online survey (N=109) exploring principle aspects of the design space of wearables such as data types, contexts, feedback modalities and sharing behaviors. Results show that users are interested in obtaining physiological, emotional and cognitive data through modalities beyond traditional touchscreen output. Valence of the information, whether positive or negative affects the sharing behaviors.

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“…Results indicated that participants found the interface useful and could "reason forward and backward in time about their emotional experiences" (McDuff et al, 2012). Meanwhile, FEEL (Ayzenberg et al, 2012) is a lifelogging system that measures EDA, via a wristworn commercial sensor, and captures mobile phone data to determine the context of social interactions. The data is analysed in real-time to associate stress (via EDA) with events captured via the mobile phone (e.g.…”

Section: Wearable Sensors and Lifelogging Technologymentioning

confidence: 99%

Personal informatics and negative emotions during commuter driving: Effects of data visualization on cardiovascular reactivity & mood

Fairclough

Dobbins

2020

International Journal of Human-Computer Studies

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Mobile technology and wearable sensors can provide objective measures of psychological stress in everyday life.Data from sensors can be visualized and viewed by the user to increase self-awareness and promote adaptive coping strategies. A capacity to effectively self-regulate negative emotion can mitigate the biological process of inflammation, which has implications for long-term health. Two studies were undertaken utilizing a mobile lifelogging platform to collect cardiovascular data over a week of real-life commuter driving. The first was designed to establish a link between cardiovascular markers of inflammation and the experience of anger during commuter driving in the real world. Results indicated that an ensemble classification model provided an accuracy rate of 73.12% for the binary classification of episodes of high vs. low anger based upon a combination of features derived from driving (e.g. vehicle speed) and cardiovascular psychophysiology (heart rate, heart rate variability, pulse transit time). During the second study, participants interacted with an interactive, geolocated visualisation of vehicle parameters, photographs and cardiovascular psychophysiology collected over two days of commuter driving (pre-test). Data were subsequently collected over two days of driving following their interaction with the dynamic, data visualization (post-test). A comparison of pre-and post-test data revealed that heart rate significantly reduced during episodes of journey impedance after interaction with the data visualization. There was also evidence that heart rate variability increased during the post-test phase, suggesting greater vagal activation and adaptive coping. Subjective mood data were collected before and after each journey, but no statistically significant differences were observed between pre-and post-test periods. The implications of both studies for ambulatory monitoring, user interaction and the capacity of personal informatics to enhance long-term health are discussed.

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Feel

Cited by 37 publications

References 11 publications

Ambiguity as a Resource to Inform Proto-Practices

Ambiguity as a Resource to Inform Proto-Practices

Investigating User Needs for Bio-sensing and Affective Wearables

Personal informatics and negative emotions during commuter driving: Effects of data visualization on cardiovascular reactivity & mood

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