Text-to-image generation (TTIG) models, a recent addition to creative AI, can generate images based on a text description. These models have begun to rival the work of professional creatives, and sparked discussions on the future of creative work, loss of jobs, and copyright issues, amongst other important implications. To support the sustainable adoption of TTIG, we must provide rich, reliable and transparent insights into how professionals perceive, adopt and use TTIG. Crucially though, the public debate is shallow, narrow and lacking transparency, while academic work has focused on studying the use of TTIG in a general artist population, but not on the perceptions and attitudes of professionals in a specific industry. In this paper, we contribute a qualitative, exploratory interview study on TTIG in the Finnish videogame industry. Through a Template Analysis on semi-structured interviews with 14 game professionals, we reveal 12 overarching themes, structured into 49 sub-themes on professionals' perception, adoption and use of TTIG systems in games industry practice. Experiencing (yet another) change of roles and creative processes, our participants' reflections can inform discussions within the industry, be used by policymakers to inform urgently needed legislation, and support researchers in games, HCI and AI to support the sustainable, professional use of TTIG to benefit people and games as cultural artefacts.

翻译：文本到图像生成（TTIG）模型作为创意人工智能的最新成果，可根据文本描述生成图像。这些模型已开始与专业创意人员的工作相抗衡，并引发了对创意工作未来、就业损失、版权问题及其他重要影响的讨论。为支持TTIG的可持续采纳，我们需要提供关于专业人士如何感知、采纳和使用TTIG的丰富、可靠且透明的洞察。然而关键在于，公众讨论流于肤浅、狭隘且缺乏透明度，而学术界研究则侧重于一般艺术家群体对TTIG的使用，并未关注特定行业专业人士的感知与态度。本文针对芬兰电子游戏行业的TTIG应用开展了一项定性探索性访谈研究。通过对14位游戏专业人士的半结构化访谈进行模板分析，我们揭示了12个总体主题，并将其细分为49个与专业人士在游戏行业实践中感知、采纳和使用TTIG系统相关的子主题。参与者对（又一次）角色与创作过程变革的体验与反思，可为行业内部讨论提供参考，供政策制定者用于推进亟需的立法工作，并支持游戏、人机交互及人工智能领域的研究者推动TTIG在专业领域的可持续应用，使其惠及人类与作为文化产品的游戏。