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Exploring healthcare professionals' preferences for visualising sensor data

Published: 13 July 2015 Publication History

Abstract

Monitoring technologies and sensors have huge potential to support elderly people live independently at home. Providing healthcare professionals with access to sensor data displaying a patient's activities and health vitals could deliver numerous benefits, including allowing continuous care, presenting positive/negative trends which healthcare professionals can act upon, or alerting to immediate problems. This paper presents three phases of early-stage research from a larger study, which is concerned with investigating how sensor technologies can be utilised to facilitate frail elderly people transition from hospital to home. The focus of the research discussed in this paper is to explore healthcare professionals' preferences for using and visualising sensor data.

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Doyle, J., Caprani, N. and Bond, R. (2015). Older adults' attitudes to self-management of health and wellness through smart home data. Pervasive Health (Istanbul, May 20--13, 2015).

Cited By

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  • (2024)Factors Affecting Clinician Readiness to Adopt Smart Home Technology for Remote Health Monitoring: Systematic ReviewJMIR Aging10.2196/643677(e64367)Online publication date: 5-Dec-2024
  • (2023)INPHOVIS: Interactive visual analytics for smartphone-based digital phenotypingVisual Informatics10.1016/j.visinf.2023.01.0027:2(13-29)Online publication date: Jun-2023
  • (2022)Data Visualization for Chronic Neurological and Mental Health Condition Self-management: Systematic Review of User PerspectivesJMIR Mental Health10.2196/252499:4(e25249)Online publication date: 28-Apr-2022
  • Show More Cited By

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Published In

cover image ACM Other conferences
British HCI '15: Proceedings of the 2015 British HCI Conference
July 2015
334 pages
ISBN:9781450336437
DOI:10.1145/2783446
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 ACM 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 July 2015

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Author Tags

  1. ambient and wearable sensors
  2. data visualization
  3. frail elderly

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  • Research-article

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British HCI 2015
British HCI 2015: 2015 British Human Computer Interaction Conference
July 13 - 17, 2015
Lincolnshire, Lincoln, United Kingdom

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British HCI '15 Paper Acceptance Rate 28 of 62 submissions, 45%;
Overall Acceptance Rate 28 of 62 submissions, 45%

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Cited By

View all
  • (2024)Factors Affecting Clinician Readiness to Adopt Smart Home Technology for Remote Health Monitoring: Systematic ReviewJMIR Aging10.2196/643677(e64367)Online publication date: 5-Dec-2024
  • (2023)INPHOVIS: Interactive visual analytics for smartphone-based digital phenotypingVisual Informatics10.1016/j.visinf.2023.01.0027:2(13-29)Online publication date: Jun-2023
  • (2022)Data Visualization for Chronic Neurological and Mental Health Condition Self-management: Systematic Review of User PerspectivesJMIR Mental Health10.2196/252499:4(e25249)Online publication date: 28-Apr-2022
  • (2017)Performance Analysis on Fitness Equipment: Application of an Inertial Sensor Toward Quality of LifeSustainable Design and Manufacturing 201710.1007/978-3-319-57078-5_7(68-76)Online publication date: 26-Apr-2017
  • (2017)Sustainable Data Collection Framework: Real-Time, Online Data VisualizationSustainable Design and Manufacturing 201710.1007/978-3-319-57078-5_6(58-67)Online publication date: 26-Apr-2017
  • (2016)GEAR analytics: A clinician dashboard for a mobile game assisted rehabilitation system2016 4th International Conference on User Science and Engineering (i-USEr)10.1109/IUSER.2016.7857959(193-198)Online publication date: Aug-2016

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