# Towards Dialogue-based Navigation with Multivariate Adaptation driven by Intention and Politeness for Social Robots

arXiv: https://arxiv.org/abs/1809.07269 · HTML: https://mlsanity.com/paper/1809.07269/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Sep 2018.

## Built on by (most cited first, 3 of 3)

- [Are Current Task-oriented Dialogue Systems Able to Satisfy Impolite Users?](https://mlsanity.com/paper/2210.12942/) (2022)
- [Conversational Analysis of Daily Dialog Data using Polite Emotional Dialogue Acts](https://mlsanity.com/paper/2205.02921/) (2022)
- [Polite Emotional Dialogue Acts for Conversational Analysis in Daily Dialog Data](https://mlsanity.com/paper/2112.13572/) (2021)

## Abstract (arXiv)

Service robots need to show appropriate social behaviour in order to be deployed in social environments such as healthcare, education, retail, etc. Some of the main capabilities that robots should have are navigation and conversational skills. If the person is impatient, the person might want a robot to navigate faster and vice versa. Linguistic features that indicate politeness can provide social cues about a person's patient and impatient behaviour. The novelty presented in this paper is to dynamically incorporate politeness in robotic dialogue systems for navigation. Understanding the politeness in users' speech can be used to modulate the robot behaviour and responses. Therefore, we developed a dialogue system to navigate in an indoor environment, which produces different robot behaviours and responses based on users' intention and degree of politeness. We deploy and test our system with the Pepper robot that adapts to the changes in user's politeness.