Projects per year
This paper investigates whether using sensors during training is more effective than not. Results are presented from investigating novice vehicle drivers learning while using varying amounts of sensor support. Qualitative and quantitative data evaluations are made to compare drivers with sensors against those without while they learn to drive a vehicle. Reliance on the teaching processes used was recorded while various amounts of support were given by the intelligent systems. The work considers whether skilled drivers trained with sensors assisting them during training, could then work well without any assistance from sensors. Finally, some results are included. In all situations, assistance becomes more useful as environments became more complicated.
|Title of host publication||Intelligent Systems and Applications|
|Subtitle of host publication||Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1|
|Editors||Kohei Arai, Supriya Kapoor, Rahul Bhatia|
|Number of pages||11|
|Publication status||Published - 1 Jan 2019|
|Event||IntelliSys 2018 - London, United Kingdom|
Duration: 6 Sept 2018 → 7 Sept 2018
|Name||Advances in Intelligent Systems and Computing|
|Period||6/09/18 → 7/09/18|
FingerprintDive into the research topics of 'Learning to drive with and without intelligent computer systems and sensors to assist'. Together they form a unique fingerprint.
- 1 Finished
Using artificial intelligence to share control of a powered-wheelchair between a wheelchair user and an intelligent sensor system
1/11/18 → 1/11/22