Metrics for User Experience (UX) often involve traditional usability aspects, such as task success, but also mental aspects, such as interpretation and meaning. The actual experience of a user also highly depends on personal characteristics, such as the social and cultural background. In this paper, we investigate the relation between users' country of origin and their interaction patterns with an e-commerce website plug-in. We used a quantitative web analytics approach based on six UX-related metrics to evaluate the applicability of a quantitative UX evaluation approach in an international context. In a 34 day study we analyzed the usage patterns of 5.843 French, 2.760 German, and 5.548 Italian website visitors and found that they show significantly different patterns. This indicates that website metrics are a suitable means for cost-effective UX analysis on a large scale, which can provide valuable starting points for a further in-depth analysis.

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The voluntary carbon market is an important building block in the fght against climate change. However, it is not trivial for consumers to verify whether carbon ofset projects deliver what they promise. While technical solutions for measuring their impact are emerging, there is a lack of understanding of how to translate carbon ofset data into trustworthy interface designs. With interaction between users and ofset projects mainly happening online, it is critical to meet this design challenge. To this end, we designed and evaluated interfaces with varying trust cues for carbon ofset projects in a randomized online experiment (n=244). Our results show that content design, particularly fnancial and forest-related quantitative data presented at the right detail level, increases the perceived trustworthiness, while images have no signifcant efect. We contribute the frst specifc guidance for interface designers for carbon ofsets and discuss implications for interaction design. CCS CONCEPTS• Human-centered computing → Empirical studies in HCI; • General and reference → Experimentation.