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Fore-sighting autonomous driving - An Ethnographic approach

机译：前视自动驾驶 - 一种民族志法

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摘要

A growing body of Human-Computer-Interaction research and the automotive industry has identified that understanding user needs and creating positive user experience (UX) is crucial in order to successfully introduce Autonomous Driving (AD) vehicles to the market. AD research is commonly undertaken to provide user insights by studying the individual-technology experiences in lab settings or by forecasting attitudes and acceptability through large surveys. However, these approaches base their knowledge on people's past or present expectations and limited real life experiences of AD. To better understand upcoming individual user needs and to enable new innovations beyond acceptability forecasts and UX lab tests, we need to identify new concepts through alternative methodologies that can generate user foresights based on users' evolving anticipations of AD in their everyday lives. We propose an ethnographic approach with iterative speculative scenarios, which we demonstrate through a study undertaken with participants from five families who were introduced to evolving levels of AD, in real-life situations. To demonstrate the methodology, we draw on empirical findings which reveal anticipatory experiences, which we abstract through the concepts of confidence, hope and being-in-the-moment. We show how these concepts structured our user foresights, and outline the implications of engaging them in innovation processes.
机译：人类互动研究和汽车行业的越来越多的身体已经确定了了解用户需求并创造积极的用户体验（UX）至关重要，以便成功地将自动驾驶（广告）车辆推向市场。通常采用广告研究，以通过研究实验室环境中的个人技术经验或通过大型调查来预测态度和可接受来提供用户见解。然而，这些方法基于他们对人民过去或现在的期望和有限的广告现实生活经历的知识。为了更好地了解即将到来的个人用户需求，并实现全新的创新，超出可接受性预测和UX实验室测试，我们需要通过替代方法来识别新的概念，这些方法可以根据用户在日常生活中的用户不断发展的广告的发展预期来生成用户远见。我们提出了一种具有迭代投机情景的民族造型方法，我们通过与来自五个家庭的参与者进行的研究表明，这些学习在现实生活中介绍了广告的发展水平。为了展示方法论，我们借鉴了揭示了预期经验的实证发现，我们摘要通过信心，希望和当时的概念摘要。我们展示了这些概念如何构建我们的用户前瞻性，并概述了在创新过程中吸引它们的影响。

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