Conference proceeding
Being Seen: Co-Interpreting Parkinson's Patient's Movement Ability in Deep Brain Stimulation Programming
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, v 2015-, pp 511-520
18 Apr 2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The purpose of this study is to address the use of movement assessment sensors for clinical diagnosis and treatment. Eleven patients with Parkinson's disease who had under-gone deep brain stimulation (DBS) surgery were observed during follow-up appointments for adjustments to the stimulation settings. We examine the ways in which the patients and clinicians assess movement ability together in the clinic and how these assessments relate to the treatment of functional disability through DBS. We have found that effective assessment of movement and treatment efficacy is a collaborative and interpretive process (co-interpretation) that relies on input from patients, clinicians, and caregivers. From these findings we describe the design directions for movement sensors to support co-interpretation of movement in a clinical context as opposed to simply movement definition.
Metrics
Details
- Title
- Being Seen
- Creators
- Helena M. Mentis - University of Maryland, Baltimore CountyRita Shewbridge - University of Maryland, Baltimore CountySharon Powell - University of Maryland, BaltimorePaul Fishman - University of Maryland, BaltimoreLisa Shulman - University of Maryland, Baltimore
- Publication Details
- Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, v 2015-, pp 511-520
- Conference
- CHI '15: CHI Conference on Human Factors in Computing Systems
- Series
- ACM Conferences
- Publisher
- ACM
- Number of pages
- 10
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Web of Science ID
- WOS:000412395500061
- Scopus ID
- 2-s2.0-84951187110
- Other Identifier
- 991021916802104721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods