Emotion GaRage Vol. IV: Creating Empathic In-Vehicle Interfaces with Generative AIs for Automated Vehicle Contexts

Choe, Mungyeong; Bosch, Esther; Dong, Jiayuan; Álvarez, Ignacio; Oehl, Michael; Jallais, Christophe; Alsaid, Areen; Nadri, Chihab; Jeon, Myounghoon · 2023 · Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

DOI: 10.1145/3581961.3609828

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Summary

This document outlines the design and objectives of "Emotion GaRage Vol. IV," a workshop held at the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’23). The research addresses the critical need for empathic in-vehicle interfaces in high-level automated vehicles (SAE Level 3 or higher). As automation advances, drivers become passengers, necessitating interfaces that enhance user experience, safety, and trust through emotional intelligence. The workshop builds on three previous iterations that focused on emotion detection, age-specific user needs, and intervention methods. This fourth iteration introduces a novel dimension: the integration of generative artificial intelligence (AI) tools, such as ChatGPT, into the design process to explore their potential in crafting contextual responses and rapid prototyping. The methodology involves a collaborative, half-day workshop bringing together experts from academia and industry in fields including automotive UI, interactive design, AI, and human factors. The experimental design follows a structured schedule: an introduction to previous findings, an ice-breaking activity, and a decision phase where small groups select specific automation levels (3–5) and relevant driving scenarios and emotions. Participants then engage in a tutorial on emotion models and generative AI tools, followed by a rapid prototyping session. During this phase, groups use AI tools as collaborative partners to develop storyboards and practical prototypes of empathic user interfaces. The session concludes with presentations and discussions on the insights gained from using AI in human-machine interaction design. The anticipated findings and outcomes include the generation of ideas for in-vehicle situations and corresponding emotional responses, the development of empathic intervention methods using model-based approaches (sensory or cognitive), and the creation of tangible prototypes. The workshop aims to produce a catalog of these results and a report based on qualitative analysis of the session insights. Specific focus is placed on understanding the distinction between AI-generated and human-crafted responses and their impact on user experience. The organizers intend to compile these results to present at the upcoming AutoUI conference, fostering further discussion on the usefulness of generative AI in designing affective interfaces. The significance of this work lies in its contribution to making automated driving more accessible, enjoyable, and widely accepted. By integrating generative AI into the design of affective user interfaces, the workshop addresses an underexplored aspect of user-vehicle interaction. It seeks to enhance the nuance of human-machine interaction by leveraging AI to support emotion regulation and personalized experiences. This approach supports the broader goal of building trust in automated vehicles, which is crucial for their widespread adoption. The collaborative nature of the workshop also aims to identify future collaboration opportunities, including potential journal special issues, thereby advancing the field of empathic computing in transportation contexts.

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• generative ai voice assistants