The successful portrayal of personality in digital characters improves communication and immersion. Current research focuses on expressing personality through modifying animations using heuristic rules or data-driven models. While studies suggest motion style highly influences the apparent personality, the role of appearance can be similarly essential. This work analyzes the influence of movement and appearance on the perceived personality of short videos altered by motion transfer networks. We label the personalities in conference video clips with a user study to determine the samples that best represent the Five-Factor model's high, neutral, and low traits. We alter these videos using the Thin-Plate Spline Motion Model, utilizing the selected samples as the source and driving inputs. We follow five different cases to study the influence of motion and appearance on personality perception. Our comparative study reveals that motion and appearance influence different factors: motion strongly affects perceived extraversion, and appearance helps convey agreeableness and neuroticism.

翻译：数字角色中个性的成功呈现能够改善沟通和沉浸感。当前研究主要集中于通过启发式规则或数据驱动模型修改动画来表达个性。尽管研究表明运动风格对表象个性有显著影响，外观的作用同样至关重要。本研究分析了运动迁移网络改变的短视频中运动与外观对感知个性的影响。我们通过用户研究对会议视频片段中的个性进行标注，以确定最能代表五因素模型高、中、低特质的样本。利用薄板样条运动模型，将所选样本作为源输入和驱动输入来改变这些视频。我们遵循五种不同案例研究运动与外观对个性感知的影响。对比研究表明，运动与外观对不同因素产生不同影响：运动强烈影响感知的外向性，而外观有助于传递宜人性和神经质。