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Crafting a View of Self-Tracking Data in the Clinical Visit

Published: 02 May 2017 Publication History

Abstract

When self-tracking encounters clinical practices, the data is reshaped by goals and expertise that exist within a healthcare framework. To uncover these shaping practices, we provided a Fitbit Zip step-count sensor to nine patients with Parkinson's disease. Each patient wore the sensor for four weeks and then returned for a clinical visit with their neurologist. Our analysis focuses on this first clinical visit after four weeks of data had been collected. Our use of conversation analysis of both talk and action makes visible the practices engaged in by both collaborative members to 'craft a view' of the data toward shared decision making. Our findings reveal the deliberate guiding of attention to specific interpretations of the data through both talk and actions and we explain how our systematic analysis has uncovered tools for the mutually beneficial crafting practices of the clinician and patient.

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    cover image ACM Conferences
    CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
    May 2017
    7138 pages
    ISBN:9781450346559
    DOI:10.1145/3025453
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 02 May 2017

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    Author Tags

    1. activity tracker
    2. perception
    3. quantified self
    4. self-tracking

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    Cited By

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    • (2024)How Patient-generated Data Enhances Patient-Provider Communication in Chronic Care: A Field Study in Design Science Research (Preprint)JMIR Medical Informatics10.2196/57406Online publication date: 16-Feb-2024
    • (2024)Opportunities to design better computer vison-assisted food diaries to support individuals and experts in dietary assessment: An observation and interview study with nutrition expertsPLOS Digital Health10.1371/journal.pdig.00006653:11(e0000665)Online publication date: 27-Nov-2024
    • (2024)Transitioning Together: Collaborative Work in Adolescent Chronic Illness ManagementProceedings of the ACM on Human-Computer Interaction10.1145/36869568:CSCW2(1-24)Online publication date: 8-Nov-2024
    • (2024)The Unanticipated Use of Fitness Tracking Technologies During Post-COVID SyndromeProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661617(556-570)Online publication date: 1-Jul-2024
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    • (2024)MigraineTracker: Examining Patient Experiences with Goal-Directed Self-Tracking for a Chronic Health ConditionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642075(1-19)Online publication date: 11-May-2024
    • (2024)Exploring the impact of commercial wearable activity trackers on body awareness and body representationsComputers in Human Behavior10.1016/j.chb.2023.108036151:COnline publication date: 4-Mar-2024
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