Quantified Bodies in the Checking Loop: Analyzing the Choreographies of Biomonitoring and Generating Big Data

Parviainen, Jaana

doi:10.17011/ht/urn.201605192620

Cited by 20 publications

(18 citation statements)

References 30 publications

(35 reference statements)

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“…Similarly, the "quantified self" community (see Parviainen, 2016) is interested in generating numerical data from their physical activities, from food intake to waste and energy consumption. The obsession with numbers and quantitative measures has led to some discussion on an increasing commodification of walking, ultimately leading people to forget what it feels like to walk (e.g., Julian van Remoortere, cited in Amato, 2004).…”

Section: Discussionmentioning

confidence: 99%

Ways of Walking: Understanding Walking's Implications for the Design of Handheld Technology Via a Humanistic Ethnographic Approach

Eslambolchilar¹,

Bødker²,

Chamberlain³

2016

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Section: Discussionmentioning

confidence: 99%

Ways of Walking: Understanding Walking's Implications for the Design of Handheld Technology Via a Humanistic Ethnographic Approach

Eslambolchilar¹,

Bødker²,

Chamberlain³

2016

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“…With design choices such as notifications, automatically updating newsfeeds and persuasion to engage with content and share it, users are attracted to spend as much time with the applications as often as possible. As it has been argued in previous research, the continuous flow of data functions as a powerful trigger to bring a user back repeatedly and to be engaged with the software, creating loops of checking (Parviainen, 2016). These design choices remained invisible to the participants, but instead they blamed themselves for poor time management.…”

Section: Conclusion and Reflections On The Next Steps In Future Resementioning

confidence: 94%

Encounters with Self-Monitoring Data on ICT Use

Saariketo

2019

Nordicom Review

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This article elaborates on the prospects for research interventions that repurpose the means of datafication to create possibilities for people to reflect on what it means in their daily lives. The research data consist of qualitative research interviews (n=13) in which media diaries and tracking data from the participants’ smartphones and computers served as prompts for reflection. The experiences from the self-monitoring and the encounters with tracked data by self-identified avid ICT users are analysed to gain a better understanding of the kinds of possibilities for reflexivity that are enabled when people have access to data that are rarely available to them.

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“…[19.] The structure of wearable devices is generally small and light, and can be attached to, for example, a wrist or incorporated into shoes, clothing or sporting equipment. [20]. Measuring human biosignals from the wrist turned out to be useful in predicting the emergence of diseases.…”

Section: Related Workmentioning

confidence: 99%

Preferred Biosignals to Predict Migraine Attack

Huttunen

Halonen

2018

Well-Being in the Information Society. Fighting Inequalities

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Abstract. Migraine is classified to two classes, with aura and without aura, and migraine seizures last usually several hours. The goal of this study was to identify the most important symptoms of migraine to be monitored by wearable sensors to predict the migraine attack. The purpose of wearable sensors is to guide patients to take the migraine medication in time, and to support their own care. Self-measurement is a growing trend worldwide and sensor technology has been used for several years in activity wristbands, smartphones, rings, mobile phones, and mobile applications. The study was conducted as an operational study, randomised for those who had been diagnosed with migraine by a doctor. The study was divided into two parts, at first a questionnaire was sent to 17 people in social media. On the basis of the questionnaire, a qualitative interview was conducted for 12 persons with migraine. Responses to the questionnaire were compared to the results of the interview, and the answers to the research questions were sought. Migraine patients considered important that device reports quality of sleep, pulse, blood pressure, stress levels, sleep apnea, and energy consumption.

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Quantified Bodies in the Checking Loop: Analyzing the Choreographies of Biomonitoring and Generating Big Data

Cited by 20 publications

References 30 publications

Ways of Walking: Understanding Walking's Implications for the Design of Handheld Technology Via a Humanistic Ethnographic Approach

Ways of Walking: Understanding Walking's Implications for the Design of Handheld Technology Via a Humanistic Ethnographic Approach

Encounters with Self-Monitoring Data on ICT Use

Preferred Biosignals to Predict Migraine Attack

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