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，能够根据文字描述生成图像。这些模型已开始媲美专业创意人员的工作，并引发了关于创意工作未来、岗位流失、版权问题及其他重要影响的讨论。为支持TTIG的可持续采纳，我们必须提供丰富、可靠且透明的见解，了解专业人士如何认知、采纳和使用TTIG。然而，当前公共讨论流于肤浅、狭隘且缺乏透明度，而学术研究主要聚焦于一般艺术家群体中TTIG的使用情况，并未涉及特定行业专业人士的认知与态度。本文对芬兰电子游戏行业中的TTIG进行了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，这些主题被细分为49个子主题，涵盖专业人士在游戏行业实践中对TTIG系统的认知、采纳与使用。参与者经历了（又一次）角色与创意流程的转变，他们的反思可为行业内的讨论提供依据，供政策制定者用于制定亟需的立法，并支持游戏、人机交互及人工智能领域的研究人员促进TTIG在专业领域的可持续应用，从而造福人类并维护游戏作为文化产物的价值。