Paper Info
Title
A New Approach to Studying Sleep in Autonomous Vehicles: Simulating the Waking Situation
Abstract
In this paper, we present a novel methodology for simulating the physical and cognitive demands that individuals experience when waking from sleep. Better understanding this scenario has significant implications for research in Autonomous Vehicles (AV), where prior research has shown that many drivers would like to sleep while the vehicle is in operation. Our experiment setup replicates the waking situation in two ways: (1) Subjects wear a sleep shade (physical demand) for 3 sessions (5min, 8min, and 11min) in randomly assigned order, after which (2) they view a screen (cognitive demand) that fades from blurry to clear over a 10s-timeframe. We compared subjects' experiences in-study to the physical and cognitive conditions they experience when waking in real life. Our experiment setup was highly rated in effectiveness and appropriateness for alternating sleeping situation. Findings will be utilized as scenario design in future AV studies and can be adopted in other fields, as well.
Year
DOI
Venue
2019
10.1145/3332167.3357098
The Adjunct Publication of the 32nd Annual ACM Symposium on User Interface Software and Technology
Keywords
Field
DocType
autonomous vehicle, driving simulation, methodology, situation design, sleep
Computer science,Human–computer interaction,Multimedia
Conference
ISBN
Citations 
PageRank 
978-1-4503-6817-9
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Won Kim100.34
Seung-Jun Kim2100362.52