Reliability of crowdsourcing as a method for collecting emotions labels on pictures; BMC Research Notes; Vol. 12

Reliability of crowdsourcing as a method for collecting emotions labels on pictures; BMC Research Notes; Vol. 12

Dettagli Bibliografici
Parent link:BMC Research Notes
Vol. 12.— 2019.— [715, 6 p.]
Autore principale: Korovina O. E. Olga Evgenjevna
Ente Autore: Национальный исследовательский Томский политехнический университет Институт социально-гуманитарных технологий Кафедра экономики Международная научно-образовательная лаборатория технологий улучшения благополучия пожилых людей
Altri autori: Baez G. M. A. Gonzalez Markos Antonio, Casati F. Fabio
Riassunto:Title screen
Objective In this paper we study if and under what conditions crowdsourcing can be used as a reliable method for collecting high-quality emotion labels on pictures. To this end, we run a set of crowdsourcing experiments on the widely used IAPS dataset, using the Self-Assessment Manikin (SAM) emotion collection instrument, in order to rate pictures on valence, arousal and dominance, and explore the consistency of crowdsourced results across multiple runs (reliability) and the level of agreement with the gold labels (quality). In doing so, we explored the impact of targeting populations of different level of reputation (and cost) and collecting varying numbers of ratings per picture. Results The results tell us that crowdsourcing can be a reliable method, reaching excellent levels of reliability and agreement with only 3 ratings per picture for valence and 8 per arousal, with only marginal difference between target populations. Results for dominance were very poor, echoing previous studies on the data collection instrument used. We also observed that specific types of content generate diverging opinions in participants (leading to higher variability or multimodal distributions), which remain consistent across pictures of the same theme. These can inform the data collection and exploitation of crowdsourced emotion datasets.
Lingua:inglese
Pubblicazione: 2019
Soggetti:
электронный ресурс
труды учёных ТПУ
crowdsourcing emotions
empirical study
rating behavior
reliability
краудсорсинг
Accesso online:https://doi.org/10.1186/s13104-019-4764-4
Natura: Elettronico Capitolo di libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=664077

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