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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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Jung, Ji-Youn (author), Murray-Rust, D.S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)
When creating conversational agents, designers have to make decisions about the way the agents present themselves. In this position paper, we identify and synthesize ethical dilemmas that conversational interface designers and researchers face around gender of conversational agents. First, we identify three layers that cause tension in designing...
conference paper 2023
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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
document
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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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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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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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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Yurrita Semperena, M. (author), Draws, T.A. (author), Balayn, A.M.A. (author), Murray-Rust, D.S. (author), Tintarev, N. (author), Bozzon, A. (author)
Recent research claims that information cues and system attributes of algorithmic decision-making processes affect decision subjects' fairness perceptions. However, little is still known about how these factors interact. This paper presents a user study (N = 267) investigating the individual and combined effects of explanations, human...
conference paper 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
document
Li, Z. (author), Hai, R. (author), Bozzon, A. (author), Katsifodimos, A (author)
Machine learning (ML) practitioners and organizations are building model zoos of pre-trained models, containing metadata describing properties of the ML models and datasets that are useful for reporting, auditing, reproducibility, and interpretability purposes. The metatada is currently not standardised; its expressivity is limited; and there is...
conference paper 2022
document
Sharifi Noorian, S. (author), Qiu, S. (author), Gadiraju, Ujwal (author), Yang, J. (author), Bozzon, A. (author)
Unknown unknowns represent a major challenge in reliable image recognition. Existing methods mainly focus on unknown unknowns identification, leveraging human intelligence to gather images that are potentially difficult for the machine. To drive a deeper understanding of unknown unknowns and more effective identification and treatment, this...
conference paper 2022
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Balayn, A.M.A. (author), Rikalo, N. (author), Lofi, C. (author), Yang, J. (author), Bozzon, A. (author)
Deep learning models for image classification suffer from dangerous issues often discovered after deployment. The process of identifying bugs that cause these issues remains limited and understudied. Especially, explainability methods are often presented as obvious tools for bug identification. Yet, the current practice lacks an understanding...
conference paper 2022
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Yurrita Semperena, M. (author), Murray-Rust, D.S. (author), Balayn, A.M.A. (author), Bozzon, A. (author)
In an effort to regulate Machine Learning-driven (ML) systems, current auditing processes mostly focus on detecting harmful algorithmic biases. While these strategies have proven to be impactful, some values outlined in documents dealing with ethics in ML-driven systems are still underrepresented in auditing processes. Such unaddressed values...
conference paper 2022
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Samiotis, I.P. (author), Lofi, C. (author), Alaka, Shaad (author), Liem, C.C.S. (author), Bozzon, A. (author)
In this demo we present Scriptoria, an online crowdsourcing system to tackle the complex transcription process of classical orchestral scores. The system’s requirements are based on experts’ feedback from classical orchestra members. The architecture enables an end- to-end transcription process (from PDF to MEI) using a scalable microtask design...
conference paper 2022
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