Searched for: subject%3A%22Crowdsourcing%22
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Cabrall, C.D.D. (author), Lu, Z. (author), Kyriakidis, M. (author), Manca, L. (author), Dijksterhuis, C. (author), Happee, R. (author), de Winter, J.C.F. (author)
A common challenge with processing naturalistic driving data is that humans may need to categorize great volumes of recorded visual information. By means of the online platform CrowdFlower, we investigated the potential of crowdsourcing to categorize driving scene features (i.e., presence of other road users, straight road segments, etc.) at...
journal article 2018
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Cabrera Quiros, L.C. (author), Demetriou, A.M. (author), Gedik, E. (author), van der Meij, Leander (author), Hung, H.S. (author)
We present MatchNMingle, a novel multimodal/multisensor dataset for the analysis of free-standing conversational groups and speed-dates in-the-wild. MatchNMingle leverages the use of wearable devices and overhead cameras to record social interactions of 92 people during real-life speed-dates, followed by a cocktail party. To our knowledge,...
journal article 2018
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Afentoulidis, G. (author), Szlávik, Z. (author), Yang, J. (author), Bozzon, A. (author)
Enterprise crowdsourcing capitalises on the availability of employees for in-house data processing. Gamification techniques can help aligning employees' motivation to the crowdsourcing endeavour. Although hitherto, research efforts were able to unravel the wide arsenal of gamification techniques to construct engagement loops, little research has...
conference paper 2018
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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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Bazilinskyy, P. (author), de Winter, J.C.F. (author)
Objective: This study was designed to replicate past research concerning reaction times to audiovisual stimuli with different stimulus onset asynchrony (SOA) using a large sample of crowdsourcing respondents. Background: Research has shown that reaction times are fastest when an auditory and a visual stimulus are presented simultaneously and...
journal article 2018
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Mavridis, P. (author), de Jong, M. (author), Aroyo, Lora (author), Bozzon, A. (author), Vos, Jesse de (author), Oomen, Johan (author), Dimitrova, Antoaneta (author), Badenoch, Alec (author)
Bias is inevitable and inherent in any form of communication. News often appear biased to citizens with dierent political orientations, and understood dierently by news media scholars and the broader public. In this paper we advocate the need for accurate methods for bias identication in video news item, to enable rich analytics capabilities in...
conference paper 2018
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Balayn, A.M.A. (author), Mavridis, P. (author), Bozzon, A. (author), Timmermans, B.F.L. (author), Szlávik, Z. (author)
Training machine learning (ML) models for natural language processing usually requires large amount of data, often acquired through crowdsourcing. The way this data is collected and aggregated can have an effect on the outputs of the trained model such as ignoring the labels which differ from the majority. In this paper we investigate how label...
conference paper 2018
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Vliegendhart, R. (author)
The twenty-first century has brought plentiful computational power and bandwidth to the masses and has opened up access to multimedia recording devices for everyone. With these developments, a shift in the landscape of multimedia took place: from traditional one-to-many programming (the paradigm of traditional television) to many-to-many...
doctoral thesis 2017
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Kortleve, Malou (author)
Formiliar is digital a tool with which users can explore artworks by completing challenges, all focussing on visual elements in paintings. The main aim of the application is to encourage users to look closely at the paintings and to familiarise with them visually. Through multiple challenges users will look at the way elements, such as colour or...
master thesis 2017
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Choiri, Hendra Hadhil (author)
Analysing attractiveness of places in a region is beneficial to support urban planning and policy making. However, the attractiveness of a place is a subjective and high-level concept which is difficult to quantify. The existing methods rely on traditional surveys which may require high cost and have low scalability. This thesis attempts to...
master thesis 2017
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van den Berg, Jelle Jacobus (author)
Coastal erosion in Myanmar causes the coastline to retreat, which increases the flood risk for those who live near the coast. Lack of data about the coastline retreat makes it difficult to design proper flood protection measurements (UNFCC 2007). Since Myanmar is a relative poor country traditional measuring techniques, such as laser mapping,...
student report 2017
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Afentoulidis, Gregory (author)
In an era where innovative machine learning and artificial intelligence applications are gaining popularity, enterprises steer their interest to enterprise crowdsourcing, to capitalize on their available human resources to achieve inclusion of in-house human generated data. In this setting, gamification techniques are appealing in order to align...
master thesis 2017
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Tidball, B.E. (author)
User centered design of products, services, and systems is widely accepted. Numerous user research tools and methods exist to engage users and gather users’ insights to inform the design process. Unfortunately, time, effort, and expense of many tools often delay the availability of user insights. To address this concern, a series of studies...
doctoral thesis 2017
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Düzgün, Baris (author)
Professionals in the Operations and Maintenance phase of national road <br/>infrastructure projects are making decisions with large consequences based on low frequency measurements and subjectivity prone expert observations. A solution is expected in sensor innovations, IoT and User Generated Data to generate more frequent measurements and less...
master thesis 2017
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Kovacsova, N. (author), de Winter, J.C.F. (author), Hagenzieker, M.P. (author)
In the Netherlands, 30% of fatal crashes between 2010 and 2015 involved a cyclist [1], with a large portion of these crashes occurring at intersections in urban areas. Contributing factors to driver-cyclist collisions at intersections are not only inadequate visual search, but also incorrect expectations about the other’s intentions [2]....
conference paper 2017
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Albeda, J. (author)
Affect-adaptive systems are dependent on their ability to automatically recognize a user’s affective state. This study aims to contribute to the creation of an affect-adaptive system that can recognize negative moods of elderly in care homes from a video feed, and improve it by adapting the lighting in the room. An affective database of videos...
master thesis 2016
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Kofler, C. (author)
Over the recent years, user expectations of the ability of video search engines have significantly risen. Users expect video search engines to be useful as an instrument that facilitates communication, education, entertainment and problem solving and, in relation to this, to satisfy diverse information needs. A user's information need is the...
doctoral thesis 2015
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Abcouwer, F.C.A. (author)
Human computation platforms offer requesters the possibility to outsource human intelligence tasks or HITs to large amounts of workers around the world. Researching the various aspects of HIT design has the potential to improve the human computation experience for both requesters and workers. This thesis researches the relationship between...
master thesis 2015
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Bazilinskyy, P. (author), de Winter, J.C.F. (author)
This study investigated peoples’ opinion on auditory interfaces in contemporary<br/>cars and their willingness to be exposed to auditory feedback in automated driving. We used an Internet-based survey to collect 1,205 responses from 91 countries. The respondents stated their attitudes towards two existing auditory driver assistance systems, a...
journal article 2015
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Koehn, K. (author)
Crowdsourcing has become a very popular field over the last decade. Many applications where crowdsourcing can be used have been identified. This thesis project researches if some of these crowdsourcing applications can also be applied for internal crowdsourcing, where the crowd consists out of the firm’s employees to improve a company’s...
master thesis 2014
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