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Code book of RTL visualization in Arabic News media
In this project, we aimed to map the visualisation design space of visualisation embedded in right-to-left (RTL) scripts. We aimed to expand our knowledge of visualisation... -
Quantitative data analysed for the paper titled: Diagnostic decisions of spec...
The quantitative data was collected during an online study completed using the Qualtrics survey platform. The study period was July and August 2021. Thirty Participants... -
Dataset for "<i>SolarClub: Supporting Renewable Energy Communities through an...
This dataset provides 1) participant interview transcripts and 2) participant household electricity usage sensor data for the corresponding paper and presentation in the... -
<b><i>SolarClub: Supporting Renewable Energy Communities through an Interacti...
Energy communities are a key focus for governments around the world in support of more sustainable energy practices. However, interactive systems for supporting energy... -
Embellishments Revisited: Perceptions of Embellished Visualisations Through t...
The material provided here is relevant to the paper titled: "Embellishments Revisited: Perceptions of Embellished Visualisations Through the Viewer’s Lens". The folder includes... -
Chatbot as Advisers dataset
A dataset from an online studies on a simulated social trading platform using a chatbot to give participants advice on investment. 64 participants interacted with a chatbot... -
Supporting Solar Energy Coordination among Communities
This data is supplementary material to the paper "Supporting Solar Energy Coordination among Communities". The dataset contains the transcripts of five workshops in which... -
ECLIPSE study Phase 1 (point prevalence) data
See https://search.proquest.com/docview/1860823362 for research protocol. This dataset documents the data from an observational study across 16 hospitals comparing IV infusion... -
Evaluating Saliency Map Explanations for CNN
Participants' answers to the following study: Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study.
