11th EAI International Conference on Pervasive Computing Technologies for Healthcare

Research Article

Design Considerations for Semi-Automated Tracking: Self-Care Plans in Spinal Cord Injury

  • @INPROCEEDINGS{10.1145/3154862.3154870,
        author={Ayşe Büyüktür and Mark Ackerman and Mark Newman and Pei-Yao Hung},
        title={Design Considerations for Semi-Automated Tracking: Self-Care Plans in Spinal Cord Injury},
        proceedings={11th EAI International Conference on Pervasive Computing Technologies for Healthcare},
        publisher={ACM},
        proceedings_a={PERVASIVEHEALTH},
        year={2018},
        month={1},
        keywords={self-care plans self-monitoring semi-automated tracking quantified self context-aware environments disability rehabilitation requirements user needs},
        doi={10.1145/3154862.3154870}
    }
    
  • Ayşe Büyüktür
    Mark Ackerman
    Mark Newman
    Pei-Yao Hung
    Year: 2018
    Design Considerations for Semi-Automated Tracking: Self-Care Plans in Spinal Cord Injury
    PERVASIVEHEALTH
    ACM
    DOI: 10.1145/3154862.3154870
Ayşe Büyüktür1,*, Mark Ackerman1, Mark Newman1, Pei-Yao Hung1
  • 1: University of Michigan
*Contact email: abuyuktu@umich.edu

Abstract

Self-care in Spinal Cord Injury (SCI) is highly complex and individualized. Patients struggle to adapt to life with SCI, especially when they go home after rehabilitation. We conducted a field study to understand how self-care plans work for patients in their lived experience and what requirements there might be for an augmentative system. We found that patients develop their own self-care plans over time, and that routinization plays a key role in SCI self-care. Importantly, self-care activities exist in different states of routinization that have implications for the technological support that should be provided. Our findings suggest that self-care can be supported by different types of semi-automated tracking that account for the different routinization of activities, the collaborative nature of care, and the life-long, dynamic nature of this condition. The findings from our study also extend recent guidelines for semi-automated tracking in health.