Who Do You Prefer? The Effect of Age, Gender and Role on Users’ First Impressions of Embodied Conversational Agents in eHealth

Who Do You Prefer? The Effect of Age, Gender and Role on Users’ First Impressions of Embodied Conversational Agents in eHealth
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您更喜欢谁?年龄、性别和角色对电子医疗中实体对话代理的第一印象的影响

DOI:
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发表时间:
2019
期刊:
International journal of human computer interactions
影响因子:
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通讯作者:
H. Hermens
H. Hermens
中科院分区:
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文献类型:
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作者:
Silke ter Stal;M. Tabak;H. O. D. Akker;Tessa Beinema;H. Hermens

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嵌入会话代理可以用来吸引用户采用电子健康应用程序。本研究的目的是调查在这种情况下,哪些设计特征建立了代理人的积极的第一印象。一组八张不同年龄、性别和角色的静态代理图像,通过在线问卷进行测试。受访者(n = 155)选择了他们最喜欢的设计,并对所有设计的特点——友好性、专业性、可靠性、参与度和权威性——以及遵循代理建议的可能性进行了评分。此外,还进行了焦点小组(n = 13),以获得支持这些印象的详细理解。我们的研究结果表明,对于普通人群和老年人群来说,(1)人们似乎更喜欢年轻的女性代理人的形象,而不是年长的男性代理人;(2)代理人形象的(a)年龄、(b)性别和(c)角色影响着对代理人特征的感知和遵循代理人建议的可能性;(3)普通人群和老年人群都更喜欢(a)年龄和(b)性别相似的代理人形象。下一步将是研究在与代理交互后如何感知代理设计的特征。
ABSTRACT Embodied conversational agents may be used to engage users in adopting eHealth applications. The aim of this research is to investigate which design features establish a positive first impression of an agent in this context. A set of eight static agent images, different in age, gender and role, were subjected to testing in an online questionnaire. Respondents (n = 155) selected their preferred design and rated the characteristics – friendliness, expertise, reliability, involvement and authority – and the likeliness of following the agent’s advice for all designs. In addition, focus groups (n = 13) were conducted for detailed understandings supporting these impressions. Our results show that, for both a general and elderly population, (1) people seem to prefer images of young, female agents over old, male agents, (2) the (a) age, (b) gender and (c) role of the agent image affect the perception of the agent’s characteristics and the likeliness of following the agent’s advice, and that (3) both the general and elderly population prefer an agent image that is similar in (a) age and (b) gender. A next step would be to investigate how the characteristics of the agent designs are perceived after interaction with the agent.