TY - GEN
T1 - A biometric usability evaluation of instrument cluster and infotainment systems in two hybrid cars
AU - Kula, Irfan
AU - Atkinson, Robert
AU - Roscoe, Rod
AU - Branaghan, Russell
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/6/26
Y1 - 2018/6/26
N2 - Automobile instrument clusters and infotainment systems are commonly used and prominent in modern cars and trucks. Thus, the design of these systems and their usability can significantly affect driving performance and satisfaction. This study demonstrates how biometric sensor methods can be used to assess such usability. Specifically, the study examines users' visual attention and affective states in response to instrumentation in two hybrid cars. The study combines eye tracking, facial expression analysis, and electroencephalography (EEG) data to investigate how these two cluster and infotainment designs (a) capture visual attention; (b) potentially inspire engagement, frustration and confusion; and (c) impact users' perception of ease of use.
AB - Automobile instrument clusters and infotainment systems are commonly used and prominent in modern cars and trucks. Thus, the design of these systems and their usability can significantly affect driving performance and satisfaction. This study demonstrates how biometric sensor methods can be used to assess such usability. Specifically, the study examines users' visual attention and affective states in response to instrumentation in two hybrid cars. The study combines eye tracking, facial expression analysis, and electroencephalography (EEG) data to investigate how these two cluster and infotainment designs (a) capture visual attention; (b) potentially inspire engagement, frustration and confusion; and (c) impact users' perception of ease of use.
KW - EEG
KW - biometric measurement system
KW - eye tracking
KW - facial expression analysis
KW - infotainment system
KW - instrument panel cluster
UR - http://www.scopus.com/inward/record.url?scp=85050189300&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050189300&partnerID=8YFLogxK
U2 - 10.1109/UIC-ATC.2017.8397594
DO - 10.1109/UIC-ATC.2017.8397594
M3 - Conference contribution
AN - SCOPUS:85050189300
T3 - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
SP - 1
EP - 6
BT - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017
Y2 - 4 April 2017 through 8 April 2017
ER -