Demo Data from EDBT 2026 / reviewers in the wild / expert
Patrick J. Sparto
dblp:82/4573
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0002-8351-3789ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Health and well-being technologies · 61% Ubiquitous computing and smart environments · 30% Human-robot interaction · 9% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Health and well-being technologies › rehabilitation
physical therapy |
0.2 | 1 | 2014 | A technology probe of wearable in-home computer-assisted physical therapy · CHI 2014 |
Health and well-being technologies › rehabilitation
physical therapy assistance |
0.2 | 1 | 2014 | A technology probe of wearable in-home computer-assisted physical therapy · CHI 2014 |
Ubiquitous computing and smart environments › smart home
smart home sensing |
0.2 | 1 | 2014 | A technology probe of wearable in-home computer-assisted physical therapy · CHI 2014 |
Human-robot interaction › service robot › domestic robotics
home deployment |
0.1 | 1 | 2014 | A technology probe of wearable in-home computer-assisted physical therapy · CHI 2014 |
Methods — techniques the papers use, named apart from their topics
technology probe · 0.2field deployment · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | A technology probe of wearable in-home computer-assisted physical therapyabstractPhysical therapists could make better treatment decisions if they had accurate patient home exercise data but today this information is only available from patient self-report. A more accurate source of data could be gained from wearable computing designed for physical therapy exercise support. Existing systems have been tested in the lab but we have little information about issues they may face in home settings. We designed a technology probe, SenseCap, and deployed it for seven days in ten physical therapy patients' homes. SenseCap is a wearable physical therapy support system that gathers patient exercise compliance and performance data and summarizes the data in charts on an iPad Dashboard for physical therapists to view when patients return to the clinic. In this paper, we present the results of our deployment, show in-home patient exercise data gathered by the probe, and make design recommendations based on patient and physical therapist responses. Kevin Huang 0003, Patrick J. Sparto, Sara B. Kiesler, Asim Smailagic, Jennifer Mankoff, Daniel P. Siewiorek |
CHI | 2 |
| 2001 | Balance NAVE: a virtual reality facility for research and rehabilitation of balance disordersabstractWe are currently developing an immersive virtual environment display for research into the rehabilitation of balance disorders, called the Balance NAVE (BNAVE). Using this system, the therapist can create varying degrees of sensory conflict and congruence in persons with balance disorders. With the capability of changing visual scenes based on the needs of the therapist, the BNAVE is a promising tool for rehabilitation. The system uses four PC's, three stereoscopic projectors, and three rear-projected screens, which surround the patient's entire horizontal field of view. The BNAVE can accommodate many types of sensors and actuators for a wide range of experiments. Jeffrey Jacobson, Mark S. Redfern, Joseph M. Furman, Susan L. Whitney, Patrick J. Sparto, Jeffrey B. Wilson, Larry F. Hodges |
VRST | 5 |