How accurate can we simulate human multitasking? Modeling texting while driving using a computational cognitive architecture
| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Wang, Shihan | |
| dc.contributor.author | Fikkert, Florian | |
| dc.date.accessioned | 2021-11-09T00:00:14Z | |
| dc.date.available | 2021-11-09T00:00:14Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/196 | |
| dc.description.sponsorship | Utrecht University | |
| dc.language.iso | EN | |
| dc.subject | This thesis aimed to investigate the possibility of modeling a relatively new and complex phenomenon in distracted driving, namely texting while driving. The goal was to assess whether the resulting distracted driving data matches those of real humans, such that the simulated data could ultimately be used for the training of advanced driving assistance systems. | |
| dc.title | How accurate can we simulate human multitasking? Modeling texting while driving using a computational cognitive architecture | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.courseuu | Artificial Intelligence | |
| dc.thesis.id | 802 |
