Picturing the fictitious person: An exploratory study on the effect of images on user perceptions of AI-generated personas

Joni Salminen , João M. Santos , Soon-gyo Jung , Bernard J. Jansen
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Abstract

Human-computer interaction (HCI) research is facing a vital question of the effectiveness of personas generated using artificial intelligence (AI). Addressing this question, this research explores user perceptions of AI-generated personas for textual content (GPT-4) and two image generation models (DALL-E and Midjourney). We evaluate whether the inclusion of images in AI-generated personas impacts user perception or if AI text descriptions alone suffice to create good personas. Recruiting 216 participants, we compare three AI-generated personas without images and those with either DALL-E or Midjourney-created images. Contrary to expectations from persona literature, the presence of images in AI-generated personas did not significantly impact user perceptions. Rather, the participants generally perceived AI-generated personas to be of good quality regardless of the inclusion of images. These findings suggest that textual content, i.e., the persona narrative, is the primary driver of user perceptions in AI-generated personas. Our findings contribute to the ongoing AI-HCI discourse and provide recommendations for designing AI-generated personas.

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想象虚构的人:图像对人工智能生成的角色的用户感知影响的探索性研究
人机交互(HCI)研究面临着一个至关重要的问题,即使用人工智能(AI)生成的角色的有效性。为了解决这个问题,本研究探讨了用户对人工智能为文本内容(GPT-4)和两种图像生成模型(DALL-E 和 Midjourney)生成的角色的看法。我们评估了在人工智能生成的角色中加入图像是否会影响用户感知,或者人工智能文本描述是否足以创建优秀的角色。我们招募了 216 名参与者,比较了三种人工智能生成的不带图像的角色和带 DALL-E 或 Midjourney 创建的图像的角色。与人物形象文献中的预期相反,人工智能生成的人物形象中图像的存在并没有对用户感知产生重大影响。相反,无论是否包含图像,参与者都普遍认为人工智能生成的角色质量很好。这些研究结果表明,在人工智能生成的角色中,文本内容,即角色叙述,是用户感知的主要驱动力。我们的研究结果有助于当前的人工智能-人机交互讨论,并为设计人工智能生成的角色提供了建议。
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