Abstract
Usage based car insurances, which use sensors to track driver behaviour, are enjoying growing popularity. Although the
data collected by these insurances could provide detailed feedback about the driving style, this information is usually kept
away from the driver and is used only to calculate insurance premiums. In this paper, we explored the possibility of providing
drivers with textual feedback based on telemetric data in order to improve individual driving, but also general road safety. We report that textual feedback generated through NLG was preferred to
non-textual summaries currently popular in the field and specifically was better at giving users a concrete idea of how to
adapt their driving.
data collected by these insurances could provide detailed feedback about the driving style, this information is usually kept
away from the driver and is used only to calculate insurance premiums. In this paper, we explored the possibility of providing
drivers with textual feedback based on telemetric data in order to improve individual driving, but also general road safety. We report that textual feedback generated through NLG was preferred to
non-textual summaries currently popular in the field and specifically was better at giving users a concrete idea of how to
adapt their driving.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the European Natural Language Generation 2015 workshop (ENLG 2015) |
| Publisher | ACL Anthology |
| DOIs | |
| Publication status | Published - 2015 |
| Event | 15th European Workshop on Natural Language Generation - Brighton, United Kingdom Duration: 10 Sept 2015 → 11 Sept 2015 |
Conference
| Conference | 15th European Workshop on Natural Language Generation |
|---|---|
| Country/Territory | United Kingdom |
| City | Brighton |
| Period | 10/09/15 → 11/09/15 |