“我能为你做什么”：AI 伴侣应如何在虚拟现实游戏中为玩家提供帮助
"What Can I Do for You'': How Should AI Companions Provide Assistance to Players in Virtual Reality Games
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中文总结 AI 辅助
本研究通过 VR 解谜游戏探索 AI 伴侣的四种帮助模式，发现 AI 帮助降低玩家负荷，但自主代理游玩损害体验，为 AI 伴侣设计提供启示。
中文摘要 AI 辅助
人工智能（AI）的最新进展扩展了非玩家角色（NPC）的能力，使其能够感知游戏状态并执行游戏内动作。在沉浸式虚拟现实（VR）游戏中，这种帮助不仅限于提供提示或界面层面的支持：AI 伴侣可以以共同在场的角色出现，共享玩家的空间环境，并可见地对游戏对象进行操作。这为 VR 游戏玩法提出了一个设计问题：AI 伴侣如何在保持玩家在虚拟世界中积极参与的同时，最好地帮助玩家？为了探索这一问题，我们为 Apple Vision Pro 开发了一款 VR 解谜游戏，其中包含一个 AI 伴侣，并设有四种游戏模式：无帮助、基于命令的帮助、基于讨论的帮助和自主代理游玩。一项包含 24 名参与者的被试内研究表明，AI 帮助显著降低了玩家的认知负荷。然而，自主代理游玩尽管产生了最低的认知负荷，却通过减少挑战、自主性、沉浸感和乐趣，大幅削弱了玩家体验。定性分析进一步表明，玩家不仅根据 AI 伴侣的有用性来评价它，还根据它是否感觉像工具、队友或游戏世界中一个整合的角色来评价。我们将参与者分为四种玩家类型，并总结了他们对 AI 伴侣的期望。这些发现为 AI 伴侣作为 VR 游戏中的具身参与者提供了设计启示。
英文摘要
Recent advances in artificial intelligence (AI) have expanded the capabilities of non-player characters (NPCs), enabling them to perceive game states, perform in-game actions. In immersive virtual reality (VR) games, such assistance is not limited to providing hints or interface-level support: an AI companion can appear as a co-present character, share the player's spatial environment, and visibly act on game objects. This raises a design question for VR gameplay: how can AI companions best assist players while preserving their active participation in the virtual world? To explore this question, we developed a VR puzzle game for Apple Vision Pro featuring an AI companion across four gameplay modes: no assistance, command-based assistance, discussion-based assistance, and autonomous agent play. A within-subjects study with 24 participants showed that AI assistance significantly reduced players' workload. However, autonomous agent play, despite producing the lowest workload, substantially diminished player experience by reducing challenge, autonomy, immersion, and enjoyment. Qualitative analysis further showed that players evaluated the companion not only by its usefulness, but also by whether it felt like a tool, a teammate, or an integrated character in the game world. We categorised participants into four player types and summarised their expectations of AI companions. These findings provide design implications for AI companions as embodied participants in VR games.
发表机构
- KU Leuven（荷语鲁汶大学）
机构由 AI 辅助整理，请以论文原文为准。
