Measuring Effective Highlight Colors In Color-Coded Scatterplots

Visualization designers commonly use multiple visual channels to draw a user&rsquo;s attention to important information in a visualization. Color is a frequently used channel to highlight important data points. However, recent work shows guidelines for selecting colors to highlight data are based on heuristic design intuitions and offer little insight into effective highlight colors for color-coded visualizations. I present a crowdsourced study measuring the effects of highlight color in color-coded scatterplots. My findings indicate shortcomings in conventional approaches to selecting highlight colors. Empirical measures derived from the study results provide data-driven recommendations for effective highlight colors through preference scores and predictive models.</p

Designing for Ballet Classes: Identifying and Mitigating Communication Challenges Between Dancers and Teachers

Dancer-teacher communication in a ballet class can be challenging: ballet is one of the most complex forms of movements, and learning happens through multi-faceted interactions with studio tools (mirror, barre, and floor) and the teacher. We conducted an interview-based qualitative study with seven ballet teachers and six dancers followed by an open-coded analysis to explore the communication challenges that arise while teaching and learning in the ballet studio. We identified key communication issues, including adapting to multi-level dancer expertise, transmitting and realigning development goals, providing personalized corrections and feedback, maintaining the state of flow, and communicating how to properly use tools in the environment. We discuss design implications for crafting technological interventions aimed at mitigating these communication challenges

Practices of Knowledge Appropriation and Articulated Ambiguity Around Visual Scenarios of Sea-Level Rise Futures

The present study aims at evaluating how YouTube users understand, negotiate and appropriate science-related knowledge on YouTube. It is informed by the qualitative analysis of post-video discussions around visual scenarios of sea-level rise (SLR) triggered by climate change. On the one hand, the SLR maps have an exemplary status as contemporary visualizations of climate change risks, beyond traditional image categories such as scientific or popular imagery. YouTube, on the other hand, is a convenient media environment to investigate the situated appropriation of such visual knowledge, considering its increasing relevance as a navigational platform to provide, search, consume and debate science-related information. The paper draws on media practice theory and operationalizes digital methods and qualitative coding informed by Grounded Theory. It characterizes a number of communicative practices of articulated knowledge appropriation regarding climate knowledge. This includes “locating impacts,” “demanding representation,” “envisioning further,” “debating future action,” “relativizing the information,” “challenging the reality of anthropogenic climate change,” “embedding popular narratives,” “attributing to politics,” and “insulting others.” The article then discusses broader questions posed by the comments and related to the appropriation and discursive negotiation of knowledge within online video-sharing platforms. Ambiguity is identified as a major feature within the practice of science-related information retrieval and knowledge appropriation on YouTube. This consideration then serves as an opportunity to reconsider the relationship between information credibility and knowledge appropriation in the age of the digital. Findings suggest that ambiguity of information can have a positive impact on problem definition, future imagination and the discursive negotiation of climate change

Let’s dance the news! How the news media are adapting to the logic of TikTok

The influence of TikTok has reached the news media, which has adapted to the logic of the platform, in a context marked by the incidental consumption of news, virality and the intermediation of technology in access to information. The popularity of this social network invites news outlets to address a young audience on a platform characterized by visual and short content and dynamics defined by algorithmic recommendations, trending hashtags and challenges. Based on an exploratory search of news media and programmes on TikTok from around the world, we selected 234 accounts and conducted a content analysis of the 19 news media and programmes identified with a verified profile and general thematic scope. The results point to a progressive incorporation of the media since 2019, with the purpose of informing, positioning their brand and adapting to the logic of TikTok in a new approach to journalism for younger generations.This work was supported by the Ministry of Science, Innovation and Universities (Government of Spain) and the ERDF structural fund within the research project “Digital Native Media in Spain: Storytelling Formats and Mobile Strategy” (RTI2018–093346-B-C33).S

Saliency Prediction in the Data Visualization Design Process

L'abstract è presente nell'allegato / the abstract is in the attachmen

Analysis of Lisbon visitors’ internet access behavior: behavior analysis through the identification of clusters

Project Work presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Marketing IntelligenceThis master's thesis focuses on clustering the internet access behavior of urban visitors in the Lisbon urban area. To promote smart city development, the study aims to provide insights into visitors' behaviors while accessing the internet in Lisbon, enabling improved decision-making processes for city management, and enhancing the overall online and offline experience for visitors. The over-tourism phenomenon has put a strain on infrastructure, public transportation, and cultural heritage sites. Therefore, innovative methods are needed for effective smart city management, particularly in urban mobility. The increasing availability of Wi-Fi networks during travel has generated valuable data that can be used to develop groundbreaking approaches to understanding visitors’ behaviors and mobility patterns in urban areas. This knowledge enables the analysis and clustering of urban visitors' behavior, contributing to improved decision-making processes in smart city management