TY - GEN
T1 - Simulating visual impairment to detect hospital way-finding difficulties
AU - Koneczny, Sonja
AU - Rousek, Justin B.
AU - Hallbeck, M. Susan
PY - 2009/1/1
Y1 - 2009/1/1
N2 - As people age, they not only face declining vision, but, due to physiology, increased health problems which necessitate way-finding through healthcare facilities. In this pilot study on way-finding in a hospital setting, 50 healthy, sighted participants donned one of five commonly encountered low-vision impairment simulators. Each tried to find their way along common hospital paths. Data on the obstacles the participants faced was gathered objectively via observation as well as subjectively by post-scenario questionnaires. The results of the study show that for low-vision people, decorative elements often create major disturbances in way-finding. Combined with other age related conditions, this may put patients at a high risk of tripping and falling. In addition, changes in lighting often are misleading and may cause corridors to appear crooked or doorways to appear larger/smaller than they are. The sizes of text on signs as well as the placement, illumination and size of the signs themselves may be unsatisfactory. Most of these problems can easily be detected by the use of low-vision simulation, then categorized and eliminated. Hospitals can improve their facility to reduce potential slips and falls as well as frustration using these data.
AB - As people age, they not only face declining vision, but, due to physiology, increased health problems which necessitate way-finding through healthcare facilities. In this pilot study on way-finding in a hospital setting, 50 healthy, sighted participants donned one of five commonly encountered low-vision impairment simulators. Each tried to find their way along common hospital paths. Data on the obstacles the participants faced was gathered objectively via observation as well as subjectively by post-scenario questionnaires. The results of the study show that for low-vision people, decorative elements often create major disturbances in way-finding. Combined with other age related conditions, this may put patients at a high risk of tripping and falling. In addition, changes in lighting often are misleading and may cause corridors to appear crooked or doorways to appear larger/smaller than they are. The sizes of text on signs as well as the placement, illumination and size of the signs themselves may be unsatisfactory. Most of these problems can easily be detected by the use of low-vision simulation, then categorized and eliminated. Hospitals can improve their facility to reduce potential slips and falls as well as frustration using these data.
KW - Hospital
KW - Vision simulation
KW - Visual impairment
KW - Way-finding
UR - http://www.scopus.com/inward/record.url?scp=67549104459&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67549104459&partnerID=8YFLogxK
U2 - 10.3233/978-1-58603-964-6-133
DO - 10.3233/978-1-58603-964-6-133
M3 - Conference contribution
C2 - 19377131
AN - SCOPUS:67549104459
SN - 9781586039646
T3 - Studies in Health Technology and Informatics
SP - 133
EP - 135
BT - Medicine Meets Virtual Reality 17 - NextMed
PB - IOS Press
T2 - 17th Annual MMVR Conference - NextMed: Design for/the Well Being, MMVR17 2009
Y2 - 19 January 2009 through 22 January 2009
ER -