Searched for: author:"Bozzon, A."
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Qiu, S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)
Crowdsourcing marketplaces have provided a large number of opportunities for online workers to earn a living. To improve satisfaction and engagement of such workers, who are vital for the sustainability of the marketplaces, recent works have used conversational interfaces to support the execution of a variety of crowdsourcing tasks. The...
journal article 2020
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Gong, X. (author), Daamen, W. (author), Bozzon, A. (author), Hoogendoorn, S.P. (author)
Large-scale events are becoming more frequent in contemporary cities, increasing the need for novel methods and tools that can provide relevant stakeholders with quantitative and qualitative insights about attendees’ characteristics. In this work, we investigate how social media can be used to provide such insights. First, we screen a set of...
journal article 2020
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Samiotis, I.P. (author), Qiu, S. (author), Mauri, A. (author), Liem, C.C.S. (author), Lofi, C. (author), Bozzon, A. (author)
Human annotation is still an essential part of modern transcription workflows for digitizing music scores, either as a standalone approach where a single expert annotator transcribes a complete score, or for supporting an automated Optical Music Recognition (OMR) system. Research on human computation has shown the effectiveness of crowdsourcing...
conference paper 2020
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Qiu, S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)
The rise in popularity of conversational agents has enabled humans to interact with machines more naturally. Recent work has shown that crowd workers in microtask marketplaces can complete a variety of human intelligence tasks (HITs) using conversational interfaces with similar output quality compared to the traditional Web interfaces. In this...
conference paper 2020
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Qiu, S. (author), Bozzon, A. (author), Gadiraju, Ujwal (author)
Searching the web to learn new things or gain knowledge has become a common activity. Recent advances in conversational user interfaces have led to a new research opportunity - that of analyzing the potential of conversational interfaces in improving the effectiveness of search as learning (SAL). Addressing this knowledge gap, in this...
conference paper 2020
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Qiu, S. (author), Bozzon, A. (author), Houben, G.J.P.M. (author)
This demo presents VirtualCrowd, a simulation platform for crowdsourcing campaigns. The platform allows the design, configuration, step-by-step execution, and analysis of customized tasks, worker profiles, and crowdsourcing strategies. The platform will be demonstrated through a crowd-mapping example in two cities, which will highlight the...
conference paper 2020
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Qiu, S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)
This demo presents TickTalkTurk, a tool that can assist task requesters in quickly deploying crowdsourcing tasks in a customizable conversational worker interface. The conversational worker interface can convey task instructions, deploy microtasks, and gather worker input in a dialogue-based workflow. The interface is implemented as a Web...
conference paper 2020
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Li, Z. (author), Katsifodimos, A (author), Bozzon, A. (author), Houben, G.J.P.M. (author)
Cameras are ubiquitous nowadays and video analytic systems have been widely used in surveillance, traffic control, business intelligence and autonomous driving. Some applications, e.g., detecting road congestion in traffic monitoring, require continuous and timely reporting of complex patterns. However, conventional complex event processing ...
journal article 2020
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Sharifi Noorian, S. (author), Qiu, S. (author), Psyllidis, A. (author), Bozzon, A. (author), Houben, G.J.P.M. (author)
Up-to-date listings of retail stores and related building functions are challenging and costly to maintain. We introduce a novel method for automatically detecting, geo-locating, and classifying retail stores and related commercial functions, on the basis of storefronts extracted from street-level imagery. Specifically, we present a deep...
conference paper 2020
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van Alphen, G.A. (author), Qiu, S. (author), Bozzon, A. (author), Houben, G.J.P.M. (author)
In online crowd mapping, crowd workers recruited through crowdsourcing marketplaces collect geographic data. Compared to traditional mapping methods, where workers physically explore the area, the benefit of using online crowd mapping is the potential to be cost-effective and time-efficient. Previous studies have focused on mapping urban objects...
conference paper 2020
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Krivosheev, Evgeny (author), Sayin, Burcu (author), Bozzon, A. (author), Szlávik, Z. (author)
In this paper, we explore how to efficiently combine crowdsourcing and machine intelligence for the problem of document screening, where we need to screen documents with a set of machine-learning filters. Specifically, we focus on building a set of machine learning classifiers that evaluate documents, and then screen them efficiently. It is a...
journal article 2020
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Qiu, S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)
Due to the coronavirus pandemic, remote work from home has rapidly become a necessity around the world, drastically changing the potential landscape for the future of work. Over the last couple of decades, microtask crowdsourcing has emerged as a viable means of carrying out remote online work to earn one’s living — an alternative to traditional...
conference paper 2020
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Qiu, S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author), Houben, G.J.P.M. (author)
The trend of remote work leads to the prosperity of crowdsourcing marketplaces. In crowdsourcing marketplaces, online workers can select their preferable tasks and then complete them to get paid, while requesters design and publish tasks to acquire their desirable data. The standard user interface of the crowdsourcing task is the web page,...
conference paper 2020
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Mesbah, S. (author), Yang, J. (author), Sips, R.H.J. (author), Valle Torre, M. (author), Lofi, C. (author), Bozzon, A. (author), Houben, G.J.P.M. (author)
Social media provides a timely yet challenging data source for adverse drug reaction (ADR) detection. Existing dictionary-based, semi-supervised learning approaches are intrinsically limited by the coverage and maintainability of laymen health vocabularies. In this paper, we introduce a data augmentation approach that leverages variational...
conference paper 2019
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Sharifi Noorian, S. (author), Psyllidis, A. (author), Bozzon, A. (author)
Street-level imagery contains a variety of visual information about the facades of Points of Interest (POIs). In addition to general mor- phological features, signs on the facades of, primarily, business-related POIs could be a valuable source of information about the type and iden- tity of a POI. Recent advancements in computer vision could...
conference paper 2019
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Vliegenthart, Daniel (author), Mesbah, S. (author), Lofi, C. (author), Aizawa, Akiko (author), Bozzon, A. (author)
Named Entity Recognition (NER) for rare long-tail entities as e.g., often found in domain-specific scientific publications is a challenging task, as typically the extensive training data and test data for fine-tuning NER algorithms is lacking. Recent approaches presented promising solutions relying on training NER algorithms in an iterative...
conference paper 2019
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de Kok, Roos (author), Mauri, A. (author), Bozzon, A. (author)
Understanding and improving the energy consumption behavior of individuals is considered a powerful approach to improve energy conservation and stimulate energy efficiency. To motivate people to change their energy consumption behavior, we need to have a thorough understanding of which energy-consuming activities they perform and how these...
journal article 2019
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Mauri, A. (author), Bozzon, A. (author), De Kok, Roos (author)
Understanding how individuals consume energy is considered to be a fundamental step in improving energy conservation and stimulating energy efficiency. Multiple studies have shown how feedback loops encourage en-<br/>ergy conservation and efficiency among policy makers and citizens. Fischer (2008), for instance, explores the ways in which a...
book chapter 2019
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Mavridis, P. (author), Huang, Owen (author), Qiu, S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)
Conversational interfaces can facilitate human-computer interactions. Whether or not conversational interfaces can improve worker experience and work quality in crowdsourcing marketplaces has remained unanswered. We investigate the suitability of text-based conversational interfaces for microtask crowdsourcing. We designed a rigorous...
conference paper 2019
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Qiu, S. (author), Psyllidis, A. (author), Bozzon, A. (author), Houben, G.J.P.M. (author)
Knowledge about the organization of the main physical elements (e.g. streets) and objects (e.g. trees) that structure cities is important in the maintenance of city infrastructure and the planning of future urban interventions. In this paper, a novel approach to crowd-mapping urban objects is proposed. Our method capitalizes on strategies for...
conference paper 2019
Searched for: author:"Bozzon, A."
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