# A Supervised Learning Concept for Reducing User Interaction in Passenger Cars

arXiv: https://arxiv.org/abs/1711.04518 · HTML: https://mlsanity.com/paper/1711.04518/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Nov 2017.

## Built on by (most cited first, 1 of 1)

- [Artificial Intelligence Methods in In-Cabin Use Cases: A Survey](https://mlsanity.com/paper/2101.02082/) (2021)

## Abstract (arXiv)

In this article an automation system for human-machine-interfaces (HMI) for setpoint adjustment using supervised learning is presented. We use HMIs of multi-modal thermal conditioning systems in passenger cars as example for a complex setpoint selection system. The goal is the reduction of interaction complexity up to full automation. The approach is not limited to climate control applications but can be extended to other setpoint-based HMIs.