Breaking the cycle of frustration: Applying Neisser's Perceptual Cycle Model to drivers of semi-autonomous vehicles

Semi-autonomous cars are already on the road and highly autonomous cars will soon be with us. Little is understood about how drivers will adapt to the changing relationship with their vehicle, but to ensure safety and consumer acceptance, this insight is vital. To this end, an on-road study in a sem...

Full description

Saved in:
Bibliographic Details
Published in:Applied ergonomics 2020-05, Vol.85, p.103037-103037, Article 103037
Main Authors: Revell, Kirsten M.A., Richardson, Joy, Langdon, Pat, Bradley, Mike, Politis, Ioannis, Thompson, Simon, Skrypchuck, Lee, O'Donoghue, Jim, Mouzakitis, Alex, Stanton, Neville A.
Format: Article
Language:English
Subjects:
Adult
Artificial Intelligence
Automation
Automobile Driving - psychology
Automobiles
Female
Frustration
Humans
Interaction design
Male
Man-Machine Systems
Middle Aged
Models, Theoretical
Perceptual cycle model
Relational Autonomy
Safety
Semi-autonomous vehicles
United Kingdom
Usability
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Semi-autonomous cars are already on the road and highly autonomous cars will soon be with us. Little is understood about how drivers will adapt to the changing relationship with their vehicle, but to ensure safety and consumer acceptance, this insight is vital. To this end, an on-road study in a semi-autonomous vehicle was undertaken with six UK drivers. The ‘think aloud’ technique was employed and video and audio footage of their interaction with the vehicle was captured. Neisser's (1976) Perceptual Cycle Model (PCM) was used to analyse the data and three case studies are presented to highlight how poor synergy between driver and semi-autonomous vehicles can occur from the lens of Schema, Action or World information. Seven key design considerations are proposed to ensure a more positive and safer interaction between driver and autonomous vehicle to guide focus by manufacturers. Further evidence for the existence of a ‘counter cycle’ (Plant and Stanton, 2015) within the PCM is found and how this relates to the challenges of using verbal protocals expressed during a fast moving dynamic task is discussed. •Key design recommendations derived from applying the Perceptual Cycle Model (PCM) to semi-autonomous vehicles.•Verbal Protocol analysis extends the PCM method to include recursive thinking.•Case studies in semi-autonomous vehicles through the lens of ‘World’, ‘Schema’ and ‘Action’ reveal the power of the PCM.
ISSN:0003-6870
1872-9126
DOI:10.1016/j.apergo.2019.103037