Automotive Research in the Public Space: Towards Deployment-Based Prototypes For Real Users

Michael Braun, F. Roider, Florian Alt, Tom Gross
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引用次数: 2

Abstract

Many automotive user studies allow users to experience and evaluate interactive concepts. They are however often limited to small and specific groups of participants, such as students or experts. This might limit the generalizability of results for future users. A possible solution is to allow a large group of unbiased users to actively experience an interactive prototype and generate new ideas, but there is little experience about the realization and benefits of such an approach. We placed an interactive prototype in a public space and gathered objective and subjective data from 693 participants over the course of three months. We found a high variance in data quality and identified resulting restrictions for suitable research questions. This results in concrete requirements to hardware, software, and analytics, e.g. the need for assessing data quality, and give examples how this approach lets users explore a system and give first-contact feedback which differentiates highly from common in-depth expert analyses.
公共空间中的汽车研究:面向真实用户的基于部署的原型
许多汽车用户研究允许用户体验和评估交互式概念。然而,它们往往仅限于小型和特定的参与者群体,例如学生或专家。这可能会限制结果对未来用户的通用性。一个可能的解决方案是让一大群没有偏见的用户积极体验交互原型并产生新想法,但很少有关于这种方法的实现和好处的经验。我们在一个公共空间放置了一个互动原型,并在三个月的时间里从693名参与者那里收集了客观和主观的数据。我们发现数据质量的差异很大,并确定了对合适研究问题的限制。这导致了对硬件、软件和分析的具体需求,例如需要评估数据质量,并举例说明这种方法如何使用户探索系统并给出与常见的深度专家分析高度不同的第一手反馈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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