Abstract
Traditional automotive industry has reached advanced levels of car mechanics, performance, efficiency, and safety. A differentiating factor in future cars would be the embedded and interactive digital technology in the cockpit and under the hood, requiring high levels of interactivity with the occupants. While automotive industry has-in the last few years-rapidly, and successfully assimilated several decades of computing, Artificial Intelligence, and Human Computer Interaction (HCI) principles in autonomous and driver vehicles, they are still limited to traditional interaction paradigms like GUI, touch screens, and speech recognition. In this paper, we look ahead into emerging interaction paradigms, and assess their potential application in future cars. We summarize our findings of critical research regarding promising technologies, namely brain-computer interaction (BCI) as a viable alternative. A literature review was performed for the purposes of understanding the past and present of BCI. This information is used in formulating predictions regarding the nature of future interaction between human brains and the vehicles that transport them.
| 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 | 1-5 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538604342 |
| DOIs | |
| 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 |
Fingerprint
Keywords
- brain-computer interaction (BCI)
- brains
- computers
- driverless cars
- future cars
- Human-computer interaction (HCI)
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
Cite this
The future of brain-computer interaction : How future cars will interact with their passengers. / Thum, Giuseppe Edwardo; Gaffar, Ashraf.
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. 1-5.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - The future of brain-computer interaction
T2 - How future cars will interact with their passengers
AU - Thum, Giuseppe Edwardo
AU - Gaffar, Ashraf
PY - 2018/6/26
Y1 - 2018/6/26
N2 - Traditional automotive industry has reached advanced levels of car mechanics, performance, efficiency, and safety. A differentiating factor in future cars would be the embedded and interactive digital technology in the cockpit and under the hood, requiring high levels of interactivity with the occupants. While automotive industry has-in the last few years-rapidly, and successfully assimilated several decades of computing, Artificial Intelligence, and Human Computer Interaction (HCI) principles in autonomous and driver vehicles, they are still limited to traditional interaction paradigms like GUI, touch screens, and speech recognition. In this paper, we look ahead into emerging interaction paradigms, and assess their potential application in future cars. We summarize our findings of critical research regarding promising technologies, namely brain-computer interaction (BCI) as a viable alternative. A literature review was performed for the purposes of understanding the past and present of BCI. This information is used in formulating predictions regarding the nature of future interaction between human brains and the vehicles that transport them.
AB - Traditional automotive industry has reached advanced levels of car mechanics, performance, efficiency, and safety. A differentiating factor in future cars would be the embedded and interactive digital technology in the cockpit and under the hood, requiring high levels of interactivity with the occupants. While automotive industry has-in the last few years-rapidly, and successfully assimilated several decades of computing, Artificial Intelligence, and Human Computer Interaction (HCI) principles in autonomous and driver vehicles, they are still limited to traditional interaction paradigms like GUI, touch screens, and speech recognition. In this paper, we look ahead into emerging interaction paradigms, and assess their potential application in future cars. We summarize our findings of critical research regarding promising technologies, namely brain-computer interaction (BCI) as a viable alternative. A literature review was performed for the purposes of understanding the past and present of BCI. This information is used in formulating predictions regarding the nature of future interaction between human brains and the vehicles that transport them.
KW - brain-computer interaction (BCI)
KW - brains
KW - computers
KW - driverless cars
KW - future cars
KW - Human-computer interaction (HCI)
UR - http://www.scopus.com/inward/record.url?scp=85050199732&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050199732&partnerID=8YFLogxK
U2 - 10.1109/UIC-ATC.2017.8397600
DO - 10.1109/UIC-ATC.2017.8397600
M3 - Conference contribution
AN - SCOPUS:85050199732
SP - 1
EP - 5
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.
ER -