Large Language Models have become an integral part of new intelligent and
interactive writing assistants. Many are offered commercially with a
chatbot-like UI, such as ChatGPT, and provide little information about their
inner workings. This makes this new type of widespread system a potential
target for deceptive design patterns. For example, such assistants might
exploit hidden costs by providing guidance up until a certain point before
asking for a fee to see the rest. As another example, they might sneak unwanted
content/edits into longer generated or revised text pieces (e.g. to influence
the expressed opinion). With these and other examples, we conceptually transfer
several deceptive patterns from the literature to the new context of AI writing
assistants. Our goal is to raise awareness and encourage future research into
how the UI and interaction design of such systems can impact people and their
writing.

大型语言模型已成为新型智能和交互式写作助手的重要组成部分。我们将多种欺骗性设计模式从文献中概念上转移到 AI 写作助手的新背景中，并旨在提高人们对此类系统的用户界面和交互设计如何影响人们及其写作的意识，鼓励未来的研究。

智能互动写作助手的欺骗模式

Deceptive Patterns of Intelligent and Interactive Writing Assistants

In our era of rapid technological advancement, the research landscape for
writing assistants has become increasingly fragmented across various research
communities. We seek to address this challenge by proposing a design space as a
structured way to examine and explore the multidimensional space of intelligent
and interactive writing assistants. Through a large community collaboration, we
explore five aspects of writing assistants: task, user, technology,
interaction, and ecosystem. Within each aspect, we define dimensions (i.e.,
fundamental components of an aspect) and codes (i.e., potential options for
each dimension) by systematically reviewing 115 papers. Our design space aims
to offer researchers and designers a practical tool to navigate, comprehend,
and compare the various possibilities of writing assistants, and aid in the
envisioning and design of new writing assistants.

我们通过提出一个设计空间来探索智能交互式写作助手的多维空间，并通过系统地检视 115 篇论文的方式，对任务、用户、技术、交互和生态系统五个方面进行了分析和定义，旨在为研究人员和设计师提供一个实用工具来导航、理解和比较各种写作助手的可能性，并帮助构想和设计新的写作助手。

智能交互式写作助手的设计空间

A Design Space for Intelligent and Interactive Writing Assistants

Sense of ownership in writing confines our investment of thoughts, time, and
contribution, leading to attachment to the output. However, using writing
assistants introduces a mental dilemma, as some content isn't directly our
creation. For instance, we tend to credit Large Language Models (LLMs) more in
creative tasks, even though all tasks are equal for them. Additionally, while
we may not claim complete ownership of LLM-generated content, we freely claim
authorship. We conduct a short survey to examine these issues and understand
underlying cognitive processes in order to gain a better knowledge of
human-computer interaction in writing and improve writing aid systems.

研究调查了写作中的所有权感、写作辅助工具、大型语言模型、创造性任务以及人机交互等问题，以提高写作辅助系统的性能。