Design and implementation of driver coach application for pilot assist: A first validation study
Artikel i vetenskaplig tidskrift, 2024

This article discusses the importance of driver understanding and trust in Advanced Driver-Assistance Systems (ADAS) and proposes a framework for a personalized driver coaching system called Driver Coach, focusing on the Volvo Pilot Assist (PA) function. Despite the widespread adoption of ADAS, research indicates that many drivers have limited comprehension of ADAS functionality and limitations. Moreover, feedback-related factors play a crucial role in determining drivers’ proper use of ADAS. The article emphasizes the need for appropriate, continual feedback to enhance driver interaction with ADAS. Traditional methods, such as user manuals or supervised test drives, have limitations in effectively conveying critical information and facilitating driver adaptation. To address these challenges, the proposed Driver Coach app provides personalized, real-time recommendations to drivers based on their individual needs and understanding of both the system and driving context. The app was tested in a field trial involving 17 drivers over a four-month period, and the results regarding the logic design verification and the impact of the Driver Coach app on PA usage are presented. The findings highlight the potential of personalized, context-aware coaching systems to improve driver understanding and usage of ADAS.

Real-time driver support

Driver Coaching

Data-driven design

Vehicle data

Personalised Assistant

ADAS personalization

Function personalization

Driver behavior assessment

Real-time personalised Assistance

Driver Coach app



Julia Orlovska

Chalmers, Industri- och materialvetenskap, Produktutveckling

Casper Wickman


Chalmers, Industri- och materialvetenskap, Produktutveckling

Rikard Söderberg

Chalmers, Industri- och materialvetenskap, Produktutveckling

Daniel Bark


Christoffer Carlsson


Pär Gustavsson


Transportation Research Interdisciplinary Perspectives

25901982 (eISSN)

Vol. 25 101130

Data Driven Användarupplevelse - DDUX

VINNOVA (2018-05017), 2019-02-01 -- 2021-12-31.


Tillämpad psykologi




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