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Gkeli, Maria (author), Potsiou, Chryssy (author)
The ongoing urbanization has led to the emergence of several complex constructions and multi-dimensional property rights. Traditional cadastral procedures cannot meet the demands of this new reality, leading to increased costs and long delays. Exploiting the capabilities of the latest technologies, mobile services (m-services), Building...
conference paper 2021
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Gkeli, Maria (author), Potsiou, Chryssy (author), Ioannidis, Charalabos (author)
The rapid economic and social transformation over the last several years, has led to multiple rearrangements regarding the land administration procedures. Vertically growing cities, complex infrastructure, subdivision of three-dimensional (3D) space through several uses and overlapping property rights have increased the demand for establishing...
conference paper 2018
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Draws, T.A. (author), Rieger, A. (author), Inel, O. (author), Gadiraju, Ujwal (author), Tintarev, N. (author)
Recent research has demonstrated that cognitive biases such as the confirmation bias or the anchoring effect can negatively affect the quality of crowdsourced data. In practice, however, such biases go unnoticed unless specifically assessed or controlled for. Task requesters need to ensure that task workflow and design choices do not trigger...
conference paper 2021
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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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Basak, Debarshi (author), Loni, B. (author), Bozzon, A. (author)
Crowdsourcing and Human computation have enabled industry and<br/>scientists to create innovative solutions by harnessing organised<br/>collective human effort. In human computation platforms, it is<br/>observed that workers spend large amount of time searching for<br/>appropriate tasks due to lack of effective task discovery mechanism. This...
conference paper 2014
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Kapcak, Öykü (author), Spagnoli, Simone (author), Robbemond, Vincent (author), Vadali, Soumitri (author), Najafian, S. (author), Tintarev, N. (author)
When a group is traveling together it is challenging to recommendan itinerary consisting of several points of interest (POIs). Thepreferences of individual group members often diverge, but it isimportant to keep everyone in the group satisfied during the entiretrip. We propose a method to consider the preferences of all thepeople in the group....
conference paper 2018
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Arous, Ines (author), Yang, J. (author), Khayati, Mourad (author), Cudre-Mauroux, Philippe (author)
Scientific peer review is pivotal to maintain quality standards for academic publication. The effectiveness of the reviewing process is currently being challenged by the rapid increase of paper submissions in various conferences. Those venues need to recruit a large number of reviewers of different levels of expertise and background. The...
conference paper 2021
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Murukannaiah, P.K. (author), Ajmeri, Nirav (author), Singh, Munindar P. (author)
Synchronous, face-to-face interactions such as brainstorming are considered essential for creative tasks (the old normal). However, face-to-face interactions are difficult to arrange because of the diverse locations and conflicting availability of people - a challenge made more prominent by work-from-home practices during the COVID-19...
conference paper 2022
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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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Mauri, A. (author), Tocchetti, A. (author), Corti, L. (author), Hsu, Y. (author), Verma, H. (author), Brambilla, Marco (author)
Traditional approaches to data-informed policymaking are often tailored to specific contexts and lack strong citizen involvement and collaboration, which are required to design sustainable policies. We argue the importance of empathy-based methods in the policymaking domain given the successes in diverse settings, such as healthcare and...
conference paper 2022
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Roy, N. (author), Balayn, A.M.A. (author), Maxwell, D.M. (author), Hauff, C. (author)
The creation of relevance assessments by human assessors (often nowadays crowdworkers) is a vital step when building IR test collections. Prior works have investigated assessor quality &amp; behaviour, and tooling to support assessors in their task. We have few insights though into the impact of a document's presentation modality on assessor...
conference paper 2023
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Qiu, S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)
Conversational agents are playing an increasingly important role in providing users with natural communication environments, improving outcomes in a variety of domains in human-computer interaction. Crowdsourcing marketplaces are simultaneously flourishing, and it has never been easier to acquire large-scale human input from online workers....
conference paper 2020
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Salimzadeh, S. (author), Gadiraju, Ujwal (author), Hauff, C. (author), van Deursen, A. (author)
Natural Language Interfaces to Databases (NLIDB), also known as Text-to-SQL models, enable users with different levels of knowledge in Structured Query Language (SQL) to access relational databases without any programming effort. By translating natural languages into SQL query, not only do NLIDBs minimize the burden of memorizing the schema...
conference paper 2022
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Xu, Luyan (author), Zhou, Xuan (author), Gadiraju, Ujwal (author)
Studies in searching as learning (SAL) have revealed that user knowledge gain not only manifests over a long-term learning period, but also occurs in single short-term web search sessions. Though prior works have shown that the knowledge gain of collaborators can be influenced by user demographics and searching strategies in long-term...
conference paper 2020
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Draws, T.A. (author), La Barbera, David (author), Soprano, Michael (author), Roitero, Kevin (author), Ceolin, Davide (author), Checco, Alessandro (author), Mizzaro, Stefano (author)
Due to the increasing amount of information shared online every day, the need for sound and reliable ways of distinguishing between trustworthy and non-trustworthy information is as present as ever. One technique for performing fact-checking at scale is to employ human intelligence in the form of crowd workers. Although earlier work has...
conference paper 2022
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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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Jung, Ji Youn (author), Qiu, S. (author), Bozzon, A. (author), Gadiraju, Ujwal (author)
Conversational agents are being widely adopted across several domains to serve a variety of purposes ranging from providing intelligent assistance to companionship. Recent literature has shown that users develop intuitive folk theories and a metaphorical understanding of conversational agents (CAs) due to the lack of a mental model of the...
conference paper 2022
document
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
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Inel, O. (author), Aroyo, Lora (author)
Event detection is still a difficult task due to the complexity and the ambiguity of such entities. On the one hand, we observe a low inter-annotator agreement among experts when annotating events, disregarding the multitude of existing annotation guidelines and their numerous revisions. On the other hand, event extraction systems have a...
conference paper 2019
document
Bapat, Rucha (author), Kucherbaev, P. (author), Bozzon, A. (author)
Chatbots are text-based conversational agents. Natural Language Understanding (NLU) models are used to extract meaning and intention from user messages sent to chatbots. The user experience of chatbots largely depends on the performance of the NLU model, which itself largely depends on the initial dataset the model is trained with. The training...
conference paper 2018
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