首页> 外文会议>International Conference on Human Aspects of IT for the Aged Population;International Conference on Human-Computer Interaction >Capturing the Adoption Intention and Interest in InOvUS an Intelligent Oven: Segmenting Senior Users to Evaluate the Technology
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Capturing the Adoption Intention and Interest in InOvUS an Intelligent Oven: Segmenting Senior Users to Evaluate the Technology

机译:捕捉智能烤箱InOvUS的采用意图和兴趣:细分高级用户以评估技术

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Cognitive issues associated with aging have become a major concern as it affects how seniors carry on activities of daily living, like cooking. The kitchen has been cited as the key problem area for seniors and it is well cited that almost all senior Americans and Canadians (90%) live independently in their community and wish to remain this way for as long as possible. We propose a solution, InOvUS, which focuses on safety and reducing the risk of fire, burn and intoxication for the rising senior population. We also developed a conceptual adoption model that is specific to the 65+ segment and that is based on existing scales like Consumer Adoption Intention (CAI), Consumer Innova-tiveness (CI), Technology Acceptance Model (TAM), Perceived Ease of Use (PEOU) and Perceived Usefulness (PU). We evaluate the adoption intention and interest of InOvUS by dissecting seniors' willingness-to-adopt through the application of a cluster analytical procedure. The segments were profiled using K-Means analysis. Our results confirmed that the seniors do not behave like a homogenous group when assessing their need to acquire and use technologies such as InOvUS. Rather, four distinct segments further define the senior population, which differ considerably in terms of their buying intention, perceived usefulness, perceived ease of use, adoption intention and consumer innovativeness.
机译:与衰老相关的认知问题已经成为人们关注的主要问题,因为它影响老年人如何进行诸如烹饪之类的日常生活。厨房被认为是老年人的主要问题领域,并且众所周知,几乎所有的老年人和加拿大人(90%)都在自己的社区中独立生活,并希望尽可能长的时间保持这种状态。我们提出了InOvUS解决方案,该解决方案着眼于安全性并为不断增长的老年人群降低着火,燃烧和中毒的风险。我们还开发了一个针对65岁以上人群的概念采用模型,该模型基于现有的规模,例如消费者采用意愿(CAI),消费者创新(CI),技术接受模型(TAM),感知易用性( PEOU)和感知有用性(PU)。我们通过应用聚类分析程序来剖析老年人的采用意愿,从而评估InOvUS的采用意图和兴趣。使用K-均值分析对片段进行了分析。我们的结果证实,在评估老年人获取和使用InOvUS等技术的需求时,老年人的行为不像同质群体。相反,四个不同的细分进一步定义了老年人口,它们在购买意愿,感知有用性,易用性,采用意愿和消费者创新性方面有很大差异。

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