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生成式人工智慧應用中使用者介面設計與互動技術調查

Survey of User Interface Design and Interaction Techniques in Generative AI Applications

October 28, 2024
作者: Reuben Luera, Ryan A. Rossi, Alexa Siu, Franck Dernoncourt, Tong Yu, Sungchul Kim, Ruiyi Zhang, Xiang Chen, Hanieh Salehy, Jian Zhao, Samyadeep Basu, Puneet Mathur, Nedim Lipka
cs.AI

摘要

生成式人工智慧的應用變得非常令人印象深刻,而使用者與人工智慧之間的互動更是如此。目前的人工智慧互動文獻廣泛探討人類如何與生成式人工智慧互動,但缺乏對用於創建這些應用程式的使用者介面設計和模式的具體性描述。因此,我們提出了一份調查報告,全面呈現了人類如何與人工智慧互動的分類法,以及設計用於滿足各種相關使用案例需求的使用者互動模式。我們主要關注使用者引導的互動,調查由使用者啟動且不包括使用者發出的任何隱含信號的互動。通過這份調查,我們旨在建立一個不同使用者互動模式的彙編,可供設計師和開發人員參考。在這樣做的同時,我們也致力於降低那些想要更多了解生成式人工智慧應用程式設計的人的門檻。
English
The applications of generative AI have become extremely impressive, and the interplay between users and AI is even more so. Current human-AI interaction literature has taken a broad look at how humans interact with generative AI, but it lacks specificity regarding the user interface designs and patterns used to create these applications. Therefore, we present a survey that comprehensively presents taxonomies of how a human interacts with AI and the user interaction patterns designed to meet the needs of a variety of relevant use cases. We focus primarily on user-guided interactions, surveying interactions that are initiated by the user and do not include any implicit signals given by the user. With this survey, we aim to create a compendium of different user-interaction patterns that can be used as a reference for designers and developers alike. In doing so, we also strive to lower the entry barrier for those attempting to learn more about the design of generative AI applications.

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PDF122November 13, 2024