The AI Interface: Designing for the Ideal Machine-Human Experience
Sundar, A., Russell-Rose, T. ORCID: 0000-0003-4394-9876, Kruschwitz, U. & Machleit, K. (2024). The AI Interface: Designing for the Ideal Machine-Human Experience. Computers in Human Behavior, article number 108539. doi: 10.1016/j.chb.2024.108539
Abstract
As artificial intelligence (AI) becomes increasingly embedded in daily life, designing intuitive, trustworthy, and emotionally resonant AI-human interfaces has emerged as a critical challenge. This editorial introduces a Special Issue that explores the psychology of AI experience design, focusing on how interfaces can foster seamless collaboration between humans and machines. Drawing on insights from diverse fields—healthcare, consumer technology, workplace dynamics, and cultural sectors—the papers in this collection highlight the complexities of trust, transparency, and emotional sensitivity in human-AI interaction. Key themes include designing AI systems that align with user perceptions and expectations, overcoming resistance through transparency and trust, and framing AI capabilities to reduce user anxiety. By synthesizing findings from eight diverse studies, this editorial underscores the need for AI interfaces to balance efficiency with empathy, addressing both functional and emotional dimensions of user experience. Ultimately, it calls for actionable frameworks to bridge research and practice, ensuring that AI systems enhance human lives through thoughtful, human-centered design.
Publication Type: | Article |
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Additional Information: | © 2024. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Departments: | School of Science & Technology School of Science & Technology > Computer Science |
SWORD Depositor: |
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