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Believability is a key concept in NPC design, yet assessing it remains a methodological challenge. Existing approaches often rely on qualitative and subjective data, which can be influenced by interpretation and researcher bias. This issue arose in the case study connected to this paper examining the believability of characters in the Dragon Age games. To address this, the study combined qualitative insights with quantifiable results, using comparative tools to enhance reliability. This mixed-method approach led to the development of the Digital Character Believability Comparator (DCBC). DCBC allowed the case study to present clear and coherent results with few participants that provided a strong basis for discussion.

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Quantifying the Subjective - The Digital Character Believability Comparator Framework for NPC Evaluation

  • 会议论文

  • 发表日期：

    2026年

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  • Spilios Kehagias,
  • Tove Dahlberg,
  • Mirjam Palosaari Eladhari

摘要

Believability is a key concept in NPC design, yet assessing it remains a methodological challenge. Existing approaches often rely on qualitative and subjective data, which can be influenced by interpretation and researcher bias. This issue arose in the case study connected to this paper examining the believability of characters in the Dragon Age games. To address this, the study combined qualitative insights with quantifiable results, using comparative tools to enhance reliability. This mixed-method approach led to the development of the Digital Character Believability Comparator (DCBC). DCBC allowed the case study to present clear and coherent results with few participants that provided a strong basis for discussion.