Generating Proactive Suggestions based on the Context: User Evaluation of Large Language Model Outputs for In-Vehicle Voice Assistants

Author:

Mathis Lesley-Ann1ORCID,Günes Can2ORCID,Entz Kathleen3ORCID,Lerch David3ORCID,Diederichs Frederik3ORCID,Widlroither Harald4ORCID

Affiliation:

1. Fraunhofer Institute for Industrial Engineering IAO, Germany and Institute of Human Factors and Technology Management IAT, University of Stuttgart, Germany

2. Institute of Human Factors and Technology Management IAT, University of Stuttgart, Germany

3. Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Germany

4. Fraunhofer Institute for Industrial Engineering IAO, Germany

Publisher

ACM

Reference37 articles.

1. Caterina Bérubé Marcia Nißen Rasita Vinay Alexa Geiger Tobias Budig Aashish Bhandari Catherine R. Pe Benito Nathan Ibarcena Olivia Pistolese Pan Li Abdullah B. Sawad Elgar Fleisch Christoph Stettler Bronwyn Hemsley Shlomo Berkovsky Tobias Kowatsch and A. B. Kocaballi. 2024. Proactive behavior in voice assistants: A systematic review and conceptual model. Computers in Human Behavior Reports 100411. DOI: https://doi.org/10.1016/j.chbr.2024.100411.

2. Road Vehicle Automation and Its Effects on Fatigue, Sleep, Rest, and Recuperation

3. Uncovering ChatGPT’s Capabilities in Recommender Systems

4. Hai Dang, Lukas Mecke, Florian Lehmann, Sven Goller, and Daniel Buschek. 2022. How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models. In CHI Workshops, May 10. New Orleans, LA.

5. Anand Das. 2023. Epic Battle of AI Models – Google Bard, ChatGPT-3.5, GPT-4, Bison PaLM 2, and Anthropic Claude: Unveiling the Best (2023). Retrieved March 31, 2024 from https://bito.ai/blog/epic-battle-of-ai-models-google-bard-chatgpt-3-5-gpt-4-bison-palm-2-and-anthropic-claude-unveiling-the-best/.

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