561 research outputs found
Mud mess and magic: building student teachersā confidence for art & the outdoors in early years
This article explores making art outdoors as a resistance to a reduction in messy, outdoor play in our early years settings, schools and increasingly risk averse societies. As part of a small-Āāscale Community of Practice research investigation into improving the confidence of student teachers to make a mess and brave the weather, the article argues for a relation with āouternessā, where both being outside and exploring natural materials in art can function as play partners in the creative process
How to Make an Outlier? Studying the Effect of Presentational Features on the Outlierness of Items in Product Search Results
In two-sided marketplaces, items compete for attention from users since attention translates to revenue for suppliers. Item exposure is an indication of the amount of attention that items receive from users in a ranking. It can be influenced by factors like position bias. Recent work suggests that another phenomenon related to inter-item dependencies may also affect item exposure, viz. outlier items in the ranking. Hence, a deeper understanding of outlier items is crucial to determining an item's exposure distribution. In this work, we study the impact of different presentational e-commerce features on users' perception of outlierness of an item in a search result page. Informed by visual search literature, we design a set of crowdsourcing tasks where we compare the observability of three main features, viz. price, star rating, and discount tag. We find that various factors affect item outlierness, namely, visual complexity (e.g., shape, color), discriminative item features, and value range. In particular, we observe that a distinctive visual feature such as a colored discount tag can attract users' attention much easier than a high price difference, simply because of visual characteristics that are easier to spot. Moreover, we see that the magnitude of deviations in all features affects the task complexity, such that when the similarity between outlier and non-outlier items increases, the task becomes more difficult.</p
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