Tailored Scenarios: A Low-Cost Online Method to Elicit Perceptions of Home Technologies Using Participant-Specific Contextual Information

Tailored Scenarios: A Low-Cost Online Method to Elicit Perceptions of Home Technologies Using Participant-Specific Contextual Information
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定制场景:一种低成本在线方法,利用参与者特定的上下文信息来引发对家庭技术的看法

DOI:
10.1093/iwc/iwu028
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发表时间:
2015
影响因子:
1.3
通讯作者:
Brown M
Brown M
中科院分区:
计算机科学4区
文献类型:
--
作者:
Brown M

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新的无所不在的计算技术的引入有能力极大地影响家庭,一个对人类体验至关重要的空间,但由于其敏感的、半私人的性质,仍未得到充分的研究。基于情景的方法以前被用来收集家居技术设计的回应,但它们往往过度简化了所涉及的社会背景,并且没有考虑到受访者的独特情况。也使用了技术探测器,但由于其侵入性,研究时间和精力的成本增加,参与度相应减少,接受度降低。我们提出了一种新的方法,用于引发参与者对基于家庭的技术的响应,该方法基于参与者的家庭环境动态地向他们呈现安装了新技术的场景。“定制场景”使用自我报告的上下文数据来定制每个场景。我们介绍了这种方法,并报告了一个案例研究的结果,在该案例中,我们比较了对“定制场景”的反应与传统场景和技术探测的反应。我们的研究结果表明,在激发人们对技术的态度方面,“量身定制的情景”是对标准情景方法的改进,而且比技术探索更容易大规模实施。
The introduction of new ubiquitous computing technologies has the capacity to greatly affect the home, a space that is core to human experience, yet remains understudied owing to its sensitive, semi-private nature. Scenario-based methods have previously been used to collect home technology design responses but they have tended to over-simplify the social contexts involved, and have not taken into account the unique circumstances of the respondents. Technology probes have also been used but suffer from increased costs in research time and effort and a corresponding reduction in participation, as well as decreased acceptance owing to their invasiveness. We present ‘Tailored Scenarios’, a new method for eliciting participant responses involving home-based technologies that dynamically presents participants with scenarios, based on their home contexts, into which new technologies are installed. ‘Tailored Scenarios’ use self-reported contextual data to customize each scenario. We present the method, and report findings from a case study in which we compared responses to ‘Tailored Scenarios’ with those from traditional scenarios and technology probes. Our findings suggest that ‘Tailored Scenarios’ is an improvement over standard scenario methods in terms of eliciting attitudes towards technology and are easier to implement at scale than technology probes.
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