A biometric usability evaluation of instrument cluster and infotainment systems in two hybrid cars

Irfan Kula; Robert Atkinson; Rod Roscoe; Russell Branaghan

doi:10.1109/UIC-ATC.2017.8397594

A biometric usability evaluation of instrument cluster and infotainment systems in two hybrid cars

Irfan Kula, Robert Atkinson, Rod Roscoe, Russell Branaghan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English (US)
Title of host publication	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
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538604342
DOIs	https://doi.org/10.1109/UIC-ATC.2017.8397594
State	Published - Jun 26 2018
Event	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 - San Francisco, United States Duration: Apr 4 2017 → Apr 8 2017

Other

Other	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
Country	United States
City	San Francisco
Period	4/4/17 → 4/8/17

Keywords

biometric measurement system
EEG
eye tracking
facial expression analysis
infotainment system
instrument panel cluster

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems
Information Systems and Management
Energy Engineering and Power Technology
Safety, Risk, Reliability and Quality
Urban Studies

Access to Document

10.1109/UIC-ATC.2017.8397594

Fingerprint Dive into the research topics of 'A biometric usability evaluation of instrument cluster and infotainment systems in two hybrid cars'. Together they form a unique fingerprint.

Cite this

Kula, I., Atkinson, R., Roscoe, R., & Branaghan, R. (2018). A biometric usability evaluation of instrument cluster and infotainment systems in two hybrid cars. In 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 (pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UIC-ATC.2017.8397594

A biometric usability evaluation of instrument cluster and infotainment systems in two hybrid cars. / Kula, Irfan; Atkinson, Robert ; Roscoe, Rod; Branaghan, Russell.

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. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kula, I, Atkinson, R , Roscoe, R & Branaghan, R 2018, A biometric usability evaluation of instrument cluster and infotainment systems in two hybrid cars. in 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. Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 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, San Francisco, United States, 4/4/17. https://doi.org/10.1109/UIC-ATC.2017.8397594

Kula I, Atkinson R , Roscoe R, Branaghan R. A biometric usability evaluation of instrument cluster and infotainment systems in two hybrid cars. In 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. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-6 https://doi.org/10.1109/UIC-ATC.2017.8397594

Kula, Irfan ; Atkinson, Robert ; Roscoe, Rod ; Branaghan, Russell. / A biometric usability evaluation of instrument cluster and infotainment systems in two hybrid cars. 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. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-6

@inproceedings{c4b7507d42bd4ac09fddf53d38acf3b6,

title = "A biometric usability evaluation of instrument cluster and infotainment systems in two hybrid cars",

abstract = "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.",

keywords = "biometric measurement system, EEG, eye tracking, facial expression analysis, infotainment system, instrument panel cluster",

author = "Irfan Kula and Robert Atkinson and Rod Roscoe and Russell Branaghan",

year = "2018",

month = jun,

day = "26",

doi = "10.1109/UIC-ATC.2017.8397594",

language = "English (US)",

pages = "1--6",

booktitle = "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",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "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 date: 04-04-2017 Through 08-04-2017",

}

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

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 - biometric measurement system

KW - EEG

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

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 -