Informed by the construal level theory (CLT) and accounting for anthropomorphism, we investigated the effectiveness of political chatbots in influencing voting intentions. This study employed a three-way analysis of variance test with a 2 (anthropomorphism: anthropomorphism vs. non-anthropomorphism) × 2 (message type: feasibility vs. desirability appeal) × 2 (political ideology: conservatives vs. liberals) between-subjects experiment (n = 360). The findings reveal that participants showed higher voting intention after conversing with a highly anthropomorphic chatbot (vs. non-anthropomorphic chatbot) and when the chatbot delivered desirability (vs. feasibility) appeals. Participants also exhibited a higher voting intention when the chatbot was less anthropomorphic and it delivered feasibility (vs. desirability) messages. Moreover, we identified the three-way interaction effects of anthropomorphism, message appeal type and political ideology on voting intention. These findings are discussed in terms of their theoretical and practical implications.

中文翻译：

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政治竞选的人性化聊天机器人：选民如何回应政治聊天机器人的可行性和可取性呼吁？

受解释水平理论 (CLT) 和拟人化解释的启发，我们调查了政治聊天机器人在影响投票意图方面的有效性。本研究采用方差测试的三向分析，2（拟人化：拟人化与非拟人化）×2（消息类型：可行性与可取性诉求）×2（政治意识形态：保守派与自由派）受试者之间实验（n = 360）。调查结果表明，参与者在与高度拟人化的聊天机器人（相对于非拟人化的聊天机器人）交谈后，以及当聊天机器人提出合意性（相对于可行性）诉求后，表现出更高的投票意愿。当聊天机器人不太拟人化并且传递可行性（与可取性）信息时，参与者也表现出更高的投票意愿。而且，我们确定了拟人化、信息诉求类型和政治意识形态对投票意愿的三向交互作用。这些发现在其理论和实践意义方面进行了讨论。