This research seeks to identify the factors that affect people’s decision to purchase, or to not purchase, social robots for their homes. To this aim, we focus on a specific technological use case: behavior and habit change. As consumer behavior research suggests that preferred designs and price sensitivity will vary between those who are technology early adopters and those who are mainstream adopters, we look at how self-classification influences the aforementioned areas. To this end, we interview 18 individuals to identify behavioral change goals and note reactions to three videos of technology for habit change. In addition to assessing willingness-to-pay (WTP) by using established methods in market research, holistic product design cards are also created to aid this process and to support user design. Additionally, we compare how people’s purchase-based designs differ from their ideal designs. We find that although early adopters prefer domestic robots to be human-like in form and behavior, they exhibit significant downgrading, especially to a more device-like form, due to price. Alternatively, we find that those in the mainstream prefer technology that is not human-like in form or behavior, and that privacy concerns and a desire for control have significant impacts on their designs.

这项研究旨在确定影响人们决定购买或不购买家庭社交机器人的因素。为此，我们专注于特定的技术用例：行为和习惯的改变。由于消费者行为研究表明，技术早期采用者和主流采用者之间的首选设计和价格敏感性会有所不同，因此我们研究自我分类如何影响上述领域。为此，我们采访了 18 个人，以确定行为改变目标，并记录对三个习惯改变技术视频的反应。除了使用市场研究中的既定方法评估支付意愿（WTP）之外，还创建整体产品设计卡来帮助这一过程并支持用户设计。此外，我们还比较了人们基于购买的设计与理想设计的差异。我们发现，尽管早期采用者更喜欢家用机器人在形式和行为上与人类相似，但由于价格原因，它们表现出显着的降级，特别是转向更像设备的形式。另外，我们发现主流人士更喜欢在形式或行为上与人类不同的技术，并且隐私问题和控制欲对他们的设计产生了重大影响。