“I Don't Understand…” Issues in Self-Quantifying Commuting

Cécile Boulard, S. Castellani, T. Colombino, A. Grasso
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Abstract

In the context of addressing global warming issues one of the possible approaches is to provide individuals with tools that support behavior change toward greener practices, as for example in commuting. This paper illustrates the results of a study that we conducted on the effectiveness of self-tracking of commuting data where participants received daily feedback on the financial costs and CO2 emissions associated to their mobility practices. In the results, we describe situations where users either misunderstood or did not accept the data and the models utilized to represent them, highlighting a limitation that diary instruments (and underlying models) of this type would have in supporting people to reflect upon and possibly change their mobility choices.
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“我不明白……”自我量化通勤中的问题
在解决全球变暖问题的背景下,一种可能的方法是为个人提供支持行为转变的工具,例如在通勤方面。本文阐述了我们对通勤数据自我跟踪的有效性进行的一项研究的结果,在这项研究中,参与者每天都会收到与他们的出行实践相关的财务成本和二氧化碳排放的反馈。在结果中,我们描述了用户误解或不接受用于表示数据和模型的情况,强调了这种类型的日记工具(和底层模型)在支持人们反思和可能改变他们的移动选择方面的局限性。
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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