Advances in artificial intelligence have transformed the paradigm of human-computer interaction, with the development of conversational AI systems playing a pivotal role. These systems employ technologies such as natural language processing and machine learning to simulate intelligent and human-like conversations. Driven by the personal experience of an individual with a neuromuscular disease who faces challenges with leaving home and contends with limited hand-motor control when operating digital systems, including conversational AI platforms, we propose a method aimed at enriching their interaction with conversational AI. Our prototype allows the creation of multiple agent personas based on hobbies and interests, to support topic-based conversations. In contrast with existing systems, such as Replika, that offer a 1:1 relation with a virtual agent, our design enables one-to-many relationships, easing the process of interaction for this individual by reducing the need for constant data input. We can imagine our prototype potentially helping others who are in a similar situation with reduced typing/input ability.

翻译：人工智能的进步已彻底改变了人机交互的范式，其中对话式人工智能系统的发展起到了关键作用。这些系统利用自然语言处理和机器学习等技术，模拟智能且类人的对话。受一位患有神经肌肉疾病个体的亲身经历驱动——该个体在离家外出面临挑战，且在操作包括对话式人工智能平台在内的数字系统时手部运动控制能力受限——我们提出了一种旨在丰富其与对话式人工智能交互的方法。我们的原型系统允许基于兴趣爱好创建多个智能体角色，以支持基于主题的对话。与现有系统（如Replika）仅提供与虚拟智能体的1:1关系不同，我们的设计实现了一对多关系，通过减少持续数据输入的需求，简化了该个体的交互过程。我们可以设想，我们的原型系统未来可能帮助其他处于类似情境、打字/输入能力受限的个体。