Graphs are ubiquitous. Many graphs, including histograms, bar charts, and stacked dotplots, have proven tricky to interpret. Students’ gaze data can indicate students’ interpretation strategies on these graphs. We therefore explore the question: In what way can machine learning quantify differences in …

In March 2020 schools in The Netherlands closed to contain the spread of Covid-19 virus. Shortly after, schools took to online education. The condensed setting of the Covid-19 situation provided a background to study which learning activities and tools teachers choose in online education and how they …

This book constitutes the refereed proceedings of the 15th International Conference on Interactive Digital Storytelling, ICIDS 2022, held in Santa Cruz, CA, USA, in December 2022. The 30 full papers and 10 short papers, presented together with 17 posters and demos, were carefully reviewed and selected …

Corporate reputation is becoming increasingly important for firms; social media platforms such as Twitter are used to convey their message. In this paper, corporate reputation will be assessed from a sustainability perspective. Using sentiment analysis, the top 100 brands of the Netherlands were scraped …

The overarching aim of this paper is to define, develop and present a processing pipeline that has practical application for companies, meaning, being extendable, representative from marketing perspective, and reusable with high reliability for any new, unseen data that generates insights for evaluation …

In this paper we propose a novel approach for validating a simulation model for a passengers' airport terminal. The validation approach is based on a "historical data" and "model-to-model" validation approach, and the novelty is represented by the fact that the model used as comparison uses historical …

Our study elucidates relational value creation and appropriation in collaborative networks for sustainability (CNfS) that focus on grand societal challenges and include a multiplicity and diversity of actors. Using a relational view lens, we conducted a longitudinal, multiple case, field study of collaborative …

Remaining Useful Life (RUL) estimation is directly related with the application of predictive maintenance. When RUL estimation is performed via data-driven methods and Artificial Intelligence algorithms, explainability and interpretability of the model are necessary for trusted predictions. This is especially …

We aim to understand the interaction between shifting organizational field logics and field actors’ responses to reconcile logic plurality and maintain legitimacy through business model innovation. Drawing on a multimethod, longitudinal field study in the fashion industry, we traced how de novo and incumbent …