Pregled bibliografske jedinice broj: 1019668
Crowdsourcing image descriptions using gamification: a comparison between game- generated labels and professional descriptors
Crowdsourcing image descriptions using gamification: a comparison between game- generated labels and professional descriptors // MIPRO 2019 42nd International Convention / Skala, Karolj (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2019. str. 645-649 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Crowdsourcing image descriptions using
gamification: a comparison between game- generated
labels and professional descriptors
Autori
Ivanjko, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
MIPRO 2019 42nd International Convention
/ Skala, Karolj - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2019, 645-649
Skup
42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2019)
Mjesto i datum
Opatija, Hrvatska, 20.05.2019. - 24.05.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
gamification ; image labelling ; photographs ; subject acess
Sažetak
The traditional approach to achieve high metadata quality in image description is to use subject experts. However, cultural heritage institutions often lack the human resources to handle the amount of material that is in need of description. One of the possible solutions to this problem is applying the gamification approach in the process of description. Many studies have shown that applying game design features outside traditional game environments can increase the motivation and productivity, and that those games can be particularly effective in invoking intrinsic motivations and overall enjoyment. However, there is a need to explore the quality of such game- generated tags in comparison with using controlled vocabularies and traditional approaches. In this paper, we compare game-generated image labels and professional descriptors. First, a subject expert using controlled vocabulary added descriptors for each image. Then, by using a gamified platform for collecting semantic annotations of digitized images, game- generated tags were collected. In the final stage, game-generated labels were evaluated by the subject expert in the context of appropriateness of using them as descriptors within a standardized system. Results have shown that game-generated labels can serve as a basis for high quality labels suitable for including a standardized description in order to enhance description and retrieval
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti