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Teeuwen, R.F.L. (author), Milias, V. (author), Bozzon, A. (author), Psyllidis, A. (author)
The study of urban greenspaces typically relies on three types of data: people’s subjective perceptions collected via questionnaires, vegetation indices derived from satellite imagery, such as the Normalized Difference Vegetation Index (NDVI), and Land Use or Land Cover maps, such as OpenStreetMap (OSM). Data on people’s perceptions are...
journal article 2024
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Rieger, A. (author), Draws, T.A. (author), Mattis, Nicolas (author), Maxwell, David (author), Elsweiler, David (author), Gadiraju, Ujwal (author), McKay, Dana (author), Bozzon, A. (author), Pera, M.S. (author)
Web search has evolved into a platform people rely on for opinion formation on debated topics. Yet, pursuing this search intent can carry serious consequences for individuals and society and involves a high risk of biases. We argue that web search can and should empower users to form opinions responsibly and that the information retrieval...
conference paper 2024
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Sharifi Noorian, S. (author), Qiu, S. (author), Sayin, Burcu (author), Balayn, A.M.A. (author), Gadiraju, Ujwal (author), Yang, J. (author), Bozzon, A. (author)
High-quality data plays a vital role in developing reliable image classification models. Despite that, what makes an image difficult to classify remains an unstudied topic. This paper provides a first-of-its-kind, model-agnostic characterization of image atypicality based on human understanding. We consider the setting of image classification...
conference paper 2023
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Li, Z. (author), Sun, W. (author), Hai, R. (author), Bozzon, A. (author), Katsifodimos, A (author)
The proliferation of pre-trained ML models in public Web-based model zoos facilitates the engineering of ML pipelines to address complex inference queries over datasets and streams of unstructured content. Constructing optimal plan for a query is hard, especially when constraints (e.g. accuracy or execution time) must be taken into consideration...
conference paper 2023
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Li, Z. (author), Hai, R. (author), Katsifodimos, A (author), Bozzon, A. (author)
Machine learning (ML) researchers and practitioners are building repositories of pre-trained models, called model zoos. These model zoos contain metadata that detail various properties of the ML models and datasets, which are useful for reporting, auditing, reproducibility, and interpretability. Unfortunately, the existing metadata...
conference paper 2023
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Li, Z. (author), Kant, Henk (author), Hai, R. (author), Katsifodimos, A (author), Brambilla, Marco (author), Bozzon, A. (author)
Machine learning (ML) practitioners and organizations are building model repositories of pre-trained models, referred to as model zoos. These model zoos contain metadata describing the properties of the ML models and datasets. The metadata serves crucial roles for reporting, auditing, ensuring reproducibility, and enhancing interpretability....
journal article 2023
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Persson Waye, Kerstin (author), Löve, Jesper (author), Lercher, Peter (author), Dzhambov, Angel M (author), Klatte, Maria (author), Schreckenberg, Dirk (author), Psyllidis, A. (author), Bozzon, A. (author), Belke, Christin (author)
Mental disorders among children and adolescents pose a significant global challenge. The exposome framework covering the totality of internal, social and physical exposures over a lifetime provides opportunities to better understand the causes of and processes related to mental health, and cognitive functioning. The paper presents a conceptual...
journal article 2023
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van Beek, E. (author), Giaccardi, Elisa (author), Boess, S.U. (author), Bozzon, A. (author)
Automated and connected technologies are increasingly present in everyday life. The concept of co-performance offers a new perspective on artificial agency by understanding artifacts as capable of performing everyday practices next to people. In this pictorial we adopt a lens informed by co-performance, and propose the visual vocabulary of the...
conference paper 2023
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van Beek, E. (author), Giaccardi, Elisa (author), Boess, S.U. (author), Bozzon, A. (author)
By 2027 more than 530 M homes will likely adopt at least one type of automated system. This means that a growing number of residents will be living with automated technology in the home, everyday. But living with smart homes is full of conflicts between what residents find appropriate and what technology does instead. Previous research,...
journal article 2023
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Yang, J. (author), Bozzon, A. (author), Gadiraju, Ujwal (author), Lease, Matthew (author)
contribution to periodical 2023
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Kernan Freire, S. (author), Niforatos, E. (author), Wang, C.W. (author), Ruiz Arenas, S. (author), Foosherian, Mina (author), Wellsandt, Stefan (author), Bozzon, A. (author)
Learning to operate a complex system, such as an agile production line, can be a daunting task. The high variability in products and frequent reconfigurations make it difficult to keep documentation up-to-date and share new knowledge amongst factory workers. We introduce CLAICA, a Continuously Learning AI Cognitive Assistant that supports...
conference paper 2023
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Mesbah, Sepideh (author), Arous, Ines (author), Yang, J. (author), Bozzon, A. (author)
Evaluating design ideas is necessary to predict their success and assess their impact early on in the process. Existing methods rely either on metrics computed by systems that are effective but subject to errors and bias, or experts' ratings, which are accurate but expensive and long to collect. Crowdsourcing offers a compelling way to...
conference paper 2023
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Milias, V. (author), Sharifi Noorian, S. (author), Bozzon, A. (author), Psyllidis, A. (author)
City streets that feel safe and attractive motivate active travel behaviour and promote people’s well-being. However, determining what makes a street safe and attractive is a challenging task because subjective qualities of the streetscape are difficult to quantify. Existing evidence typically focuses on how different street features influence...
conference paper 2023
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Gomez Beldarrain, G. (author), Kim, E.Y. (author), Verma, H. (author), Bozzon, A. (author)
conference paper 2023
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Jung, Ji-Youn (author), Bozzon, A. (author)
Studies have shown that feminine chatbots are perceived as warmer (e.g., likable, friendly) and imbue more humanness to a machine than masculine or gender-androgynous chatbots. As chatbots are being widely deployed in various empathic contexts (e.g., revealing sensitive personal information or facilitating charity donations), how to design...
conference paper 2023
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Li, Z. (author), Schonfeld, Mariette (author), Hai, R. (author), Bozzon, A. (author), Katsifodimos, A (author)
Given a set of pre-trained Machine Learning (ML) models, can we solve complex analytic tasks that make use of those models by formulating ML inference queries? Can we mitigate different tradeoffs, e.g., high accuracy, low execution costs and memory footprint, when optimizing the queries? In this work we present different multi-objective ML...
conference paper 2023
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van Asten, T. (author), Milias, V. (author), Bozzon, A. (author), Psyllidis, A. (author)
Neighborhood safety and its perception are important determinants of citizens’ health and well-being. Contemporary urban design guidelines often advocate urban forms that encourage natural surveillance or “eyes on the street” to promote community safety. However, assessing a neighborhood’s level of natural surveillance is challenging due to its...
book chapter 2023
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Kernan Freire, S. (author), Jung, Ji Youn (author), Wang, C.W. (author), Niforatos, E. (author), Bozzon, A. (author)
Emoji have become an essential part of modern communication, helping to convey emotions and tone quickly and concisely. Emoji used by humans and Intelligent Agents (IA) have been shown to affect people’s decision making intentions, suggesting they could be used to manipulate users to follow their advice. We present a mixed-methods...
conference paper 2023
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Teeuwen, R.F.L. (author), Psyllidis, A. (author), Bozzon, A. (author)
Recent evidence underscores the importance of greenspace exposure in promoting physical activity, and in having a positive impact on mental health and cognitive development. Accessibility has been identified to be the primary motivating factor when it comes to encouraging greenspace use and, correspondingly, exposure. Existing quantitative...
journal article 2023
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Balayn, A.M.A. (author), Rikalo, N. (author), Yang, J. (author), Bozzon, A. (author)
Handling failures in computer vision systems that rely on deep learning models remains a challenge. While an increasing number of methods for bug identification and correction are proposed, little is known about how practitioners actually search for failures in these models. We perform an empirical study to understand the goals and needs of...
conference paper 2023
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