The Human-Centered Data Science research group (HCDS) focuses on the human factors in the conception, use, and understanding of data. Positioned in the intersection of data science, social science, HCI, and CSCW we are interested in understanding and exploring human practices enabled by technology. We combine both quantitative and qualitative methods, and work with computational methods such as statistics, machine learning, network analysis together with qualitative methods such as ethnography, interviews, and observations. Our research aims to contribute to often overlooked human-centered dimensions of data science such as individual differences, domain-expertise, design implications, and societal impact. Within HCDS we work across several topics, including digital media platforms, information visualization, crowd sourcing, affective computing, behavioral modeling, and societal challenges related to digital infrastructure more broadly.

Members

Luca Rossi
Associate Professor
lucr@itu.dk

Luca Rossi’s research connects media and communication studies with computational approaches. He explores how digital technologies and social media impact complex social processes such as participation, activism, politics and, more recently, information propagation.

Søren Knudsen
Assistant Professor
soekn@itu.dk

Søren Knudsen’s research focuses on information visualization and human-computer interaction. He is interested in supporting people in understanding, making sense of, and discussing data in face-to-face and online contexts, for example supported by large or multiple displays and social media.

Aske Mottelson
Assistant Professor
asmo@itu.dk

Aske Mottelson’s research is in the intersection between psychology and data science. Aske conducts experiments and employs methods from statistical analysis and behavioral modeling to expand our understanding of humans through the use of technology. Aske is currently interested in (among other things) affective computing, sensing techniques, and virtual reality.

Students

Öykü Yilmaz is a MSc Student in Software Design. She is designing a prototype to improve the self-awareness of Twitter users by visualizing the consequences of their actions when sharing or retweeting a post. The project build on mixed methods and aims both at measuring the actual users’ understanding of the consequences of their network behavior as well as testing several visualization strategies to improve it.

Recent publications

Gustav Bøg Petersen, Aske Mottelson, Guido Makransky, Pedagogical Agents in Educational VR: An in the Wild Study, Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI), 2021, DOI: 10.1145/3411764.3445760

Jagoda Walny, Sarah Storteboom, Richard Pusch, Steven Munsu Hwang, Søren Knudsen, Sheelagh Carpendale, Wesley Willett, PixelClipper: Supporting Public Engagement and Conversation About Visualizations, IEEE computer graphics and applications, 2020, DOI: 10.1109/MCG.2020.2968906

Minna S Jensen, Christina Neumayer, Luca Rossi, ‘Brussels will land on its feet like a cat’: motivations for memefying #Brusselslockdown, Information, communication & society, 2020, DOI: 10.1080/1369118X.2018.1486866

Michele Coscia, Luca Rossi, Distortions of political bias in crowdsourced misinformation flagging, Journal of the Royal Society Interface, 2020, DOI: 10.1098/rsif.2020.0020

Jagoda Walny, Christian Frisson, Mieka West, Doris Kosminsky, Søren Knudsen, Sheelagh Carpendale, Wesley Willett, Data changes everything: Challenges and opportunities in data visualization design handoff, IEEE transactions on visualization and computer graphics, 2019, DOI: 10.1109/TVCG.2019.2934538

Kasper Hornbæk, Aske Mottelson, Jarrod Knibbe, Daniel Vogel, What do we mean by “interaction”? An analysis of 35 years of CHI, ACM Transactions on Computer-Human Interaction (TOCHI), 2019, DOI: 10.1145/3325285

Søren Knudsen, Jan Aerts, Daniel Archambault, Remco Chang, Jean-Daniel Fekete, Martin Grandjean, Jessie Kennedy, Mikko Kivelä, Matteo Magnani, Helen Purchase, Christian Tominski, Paola Valdivia, Tatiana von Landesberger, Unifying the framework of Multi-Layer Network and Visual Analytics, Visual Analytics of Multilayer Networks Across Disciplines, 2019, URL

Fabio Giglietto, Laura Iannelli, Augusto Valeriani, Luca Rossi, ‘Fake news’ is the invention of a liar: How false information circulates within the hybrid news system, Current Sociology, 2019, DOI: 10.1177/0011392119837536

Aske Mottelson, Jarrod Knibbe, Kasper Hornbæk, Veritaps: Truth Estimation from Mobile Interaction, Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI), 2018, DOI: 10.1145/3173574.3174135