Nudges-Based Design Method for Adaptive HMI to Improve Driving Safety

• Published in: Safety
• Main Authors: Andrea Generosi, Silvia Ceccacci, Buse Tezçi, Roberto Montanari, Maura Mengoni
• Format: Article
• Language: English
• Published: MDPI AG 2022-09-01
• Subjects: nudge; adaptive HMI; automotive; affective computing; driving safety; emotion regulation
• Online Access: https://www.mdpi.com/2313-576X/8/3/63

This study introduces a new operational tool based on the AEIOU observational framework to support the design of adaptive human machine interfaces (HMIs) that aim to modify people’s behavior and support people’s choices, to improve safety using emotional regulation techniques, through the management of environmental characteristics (e.g., temperature and illumination), according to an approach based on the nudging concept within a design thinking process. The proposed approach focuses on research in the field of behavioral psychology that has studied the correlations between human emotions and driving behavior, pushing towards the elicitation of those emotions judged to be most suitable for safe driving. The main objective is to support the ideation of scenarios and/or design features for adaptive HMIs to implement a nudging strategy to increase driving safety. At the end, the results from a collaborative workshop, organized as a case study to collect concept ideas in the context of sports cars, will be shown and evaluated to highlight the validity of the proposed methodology, but also the limitations due to the requirement of prototypes to evaluate the actual effectiveness of the presented nudging strategies.