Paralinguistic recommendations for affective word clouds

Kulahcioglu, Tugba; Melo, Gerard de

doi:10.1145/3301275.3302327

Cited by 10 publications

(9 citation statements)

References 28 publications

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“…For example, calm often associates with cool colors with high lightness and low saturation. This strong association was found again in a related study by Kulahciogu & de Melo [ 17 ] investigating affective word clouds. In contrast, playful or exciting do not exhibit such distinct color palette associations, and Bartram et al.…”

Section: Related Worksupporting

confidence: 77%

Considering best practices in color palettes for molecular visualizations

Garrison

Brückner

2022

Journal of Integrative Bioinformatics

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Biomedical illustration and visualization techniques provide a window into complex molecular worlds that are difficult to capture through experimental means alone. Biomedical illustrators frequently employ color to help tell a molecular story, e.g., to identify key molecules in a signaling pathway. Currently, color use for molecules is largely arbitrary and often chosen based on the client, cultural factors, or personal taste. The study of molecular dynamics is relatively young, and some stakeholders argue that color use guidelines would throttle the growth of the field. Instead, content authors have ample creative freedom to choose an aesthetic that, e.g., supports the story they want to tell. However, such creative freedom comes at a price. The color design process is challenging, particularly for those without a background in color theory. The result is a semantically inconsistent color space that reduces the interpretability and effectiveness of molecular visualizations as a whole. Our contribution in this paper is threefold. We first discuss some of the factors that contribute to this array of color palettes. Second, we provide a brief sampling of color palettes used in both industry and research sectors. Lastly, we suggest considerations for developing best practices around color palettes applied to molecular visualization.

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Section: Related Worksupporting

confidence: 77%

Considering best practices in color palettes for molecular visualizations

Garrison

Brückner

2022

Journal of Integrative Bioinformatics

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“…Cartograph [149] is a visualization system that uses knowledge from Wikipedia to create thematic maps. Kulahcioglu et al [150] created an affect-aware color palette selection tool for word cloud generation. VASTA [151] is a vision and language-assisted programming-by-demonstration system for smartphone task automation.…”

Section: Applicationsmentioning

confidence: 99%

A Review of Recent Deep Learning Approaches in Human-Centered Machine Learning

Kaluarachchi

Reis

Nanayakkara

2021

Sensors

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After Deep Learning (DL) regained popularity recently, the Artificial Intelligence (AI) or Machine Learning (ML) field is undergoing rapid growth concerning research and real-world application development. Deep Learning has generated complexities in algorithms, and researchers and users have raised concerns regarding the usability and adoptability of Deep Learning systems. These concerns, coupled with the increasing human-AI interactions, have created the emerging field that is Human-Centered Machine Learning (HCML). We present this review paper as an overview and analysis of existing work in HCML related to DL. Firstly, we collaborated with field domain experts to develop a working definition for HCML. Secondly, through a systematic literature review, we analyze and classify 162 publications that fall within HCML. Our classification is based on aspects including contribution type, application area, and focused human categories. Finally, we analyze the topology of the HCML landscape by identifying research gaps, highlighting conflicting interpretations, addressing current challenges, and presenting future HCML research opportunities.

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“…Accordingly, throughout the history of writing, humans have resorted to surrogate mechanisms to convey emotive signals, attempting to push the boundaries and overcome some of the inherent restrictions of plain written language as a medium, e.g., by means of illustrative embellishments and ornaments (Voronova and Sterligov, 1997). User studies have shown that images (Lang et al, 1999), color (Bartram et al, 2017;Kulahcioglu and de Melo, 2019), and typography de Melo, 2018, 2020) contribute to conveying affect.…”

Section: Background and Related Workmentioning

confidence: 99%

EmoTag1200: Understanding the Association between Emojis and Emotions

Shoeb¹,

Melo²

2020

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

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Given the growing ubiquity of emojis in language, there is a need for methods and resources that shed light on their meaning and communicative role. One conspicuous aspect of emojis is their use to convey affect in ways that may otherwise be non-trivial to achieve. In this paper, we seek to explore the connection between emojis and emotions by means of a new dataset consisting of human-solicited association ratings. We additionally conduct experiments to assess to what extent such associations can be inferred from existing data in an unsupervised manner. Our experiments show that this succeeds when high-quality wordlevel information is available.

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Paralinguistic recommendations for affective word clouds

Cited by 10 publications

References 28 publications

Considering best practices in color palettes for molecular visualizations

Considering best practices in color palettes for molecular visualizations

A Review of Recent Deep Learning Approaches in Human-Centered Machine Learning

EmoTag1200: Understanding the Association between Emojis and Emotions

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