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Utilizing short version big five traits on crowdsouring

Kousaku Igawa, Kunihiko Higa, Tsutomu Takamiya
2020 International Journal of Crowd Science  
Purpose The purpose of this paper is to examine the efficacy of the Japanese ten-item personality inventory (TIPI-J), a short version of the big five (BF) questionnaire, on crowdsourcing.  ...  Originality/value This is the first research to investigate the efficacy of TIPI-J on crowdsourcing and showed that TIPI-J can be a useful tool for predicting crowd workers' performance and thus it can  ...  The results generally supported the reliability and validity of the TIPI-J. Big five on crowdsourcing.  ... 
doi:10.1108/ijcs-11-2019-0031 fatcat:pz4u4kkmkff4bcafeqodgfakwm

Tracking Gauteng thunderstorms using Crowdsourced Twitter data between Soweto and Pretoria

Laurie Butgereit
2014 The Journal for Transdisciplinary Research in Southern Africa  
This paper investigates the possibility of mapping the track of Gauteng thunderstorms by using crowdsourced data from Twitter.  ...  This paper describes a model (entitled the ThunderChatter Model) and instantiation of that model which extracts data from Twitter, analyses the textual information for thunderstorm information and plots  ...  The maps containing the crowdsourced Twitter data in Figures 1 and 2 were generated using Google's Maps API. The map of Gauteng in Figure 4 is from the Gauteng Region-City Observatory.  ... 
doi:10.4102/td.v10i3.178 fatcat:3vq7lxrlm5aljedjj2jlzjdtgu

Crowdsourcing User-Generated Mobile Sensor Weather Data for Densifying Static Geosensor Networks

Shay Sosko, Sagi Dalyot
2017 ISPRS International Journal of Geo-Information  
This paper investigates the use of crowdsourcing user-generated weather data, namely ambient temperature and relative humidity, for the augmentation and densification of ESNs.  ...  This paper explores the use of crowdsourced user-generated sensor weather data from mobile devices for the creation of a unified and densified geosensor network.  ...  Acknowledgments: The authors would like to thank IMS and KKL-JNF for delivering with information regarding the position and impact zones of IMS; and the OpenSignal team, delivering with valuable information  ... 
doi:10.3390/ijgi6030061 fatcat:esrrvg54fra4fnrc7bosmwsa6m

Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks

Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou
2019 Proceedings of the 2019 Conference of the North  
Only a limited number of studies have investigated modelling perinstance reliability and these only considered binary labels.  ...  In this paper, we propose an unsupervised model which can handle both binary and multi-class labels.  ...  The work is funded by School of Computer Science Kilburn Overseas Fees Bursary from University of Manchester.  ... 
doi:10.18653/v1/n19-1295 dblp:conf/naacl/LiMMA19 fatcat:duvhlqgivzdo7f7bm62adzxofu

CrowdService

Xin Peng, Jingxiao Gu, Tian Huat Tan, Jun Sun, Yijun Yu, Bashar Nuseibeh, Wenyun Zhao
2018 ACM Transactions on Internet Technology  
In this paper, we develop a framework, named CROWDSERVICE, which supplies crowd intelligence and labor as publicly accessible crowd services via mobile crowdsourcing.  ...  For example, the selection of an optimal set of workers from those who bid to perform a task needs to be made based on their reliability, expected reward, and distance to the target locations.  ...  To the best of our knowledge, we are the first to investigate service composition that includes human services provided by mobile crowdsourcing.  ... 
doi:10.1145/3108935 fatcat:ifjqd75j6bfgrjgtrrju2au2qq

Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks [article]

Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou
2019 arXiv   pre-print
Only a limited number of studies have investigated modelling per-instance reliability and these only considered binary labels.  ...  In this paper, we propose an unsupervised model which can handle both binary and multi-class labels.  ...  The work is funded by School of Computer Science Kilburn Overseas Fees Bursary from University of Manchester.  ... 
arXiv:1905.04981v1 fatcat:526ddsajdbe3zlicuxsdmasj6a

Crowdsourcing for book search evaluation

Gabriella Kazai, Jaap Kamps, Marijn Koolen, Natasa Milic-Frayling
2011 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11  
In this paper we investigate the design and implementation of effective crowdsourcing tasks in the context of book search evaluation.  ...  We assess the output in terms of label agreement with a gold standard data set and observe the effect of the crowdsourced relevance judgments on the resulting system rankings.  ...  Acknowledgments Jaap Kamps and Marijn Koolen were supported by the Netherlands Organization for Scientific Research (NWO, grant # 639.072.601).  ... 
doi:10.1145/2009916.2009947 dblp:conf/sigir/KazaiKKM11 fatcat:5ekvpblhrfdehkmey76nkpjlbq

Mining Crowdsourced First Impressions in Online Social Video

Joan-Isaac Biel, Daniel Gatica-Perez
2014 IEEE transactions on multimedia  
In this paper, we address the problems of (1) crowdsourcing the annotation of first impressions of video bloggers (vloggers) personal and social traits in conversational YouTube videos, and (2) mining  ...  First, we design a human annotation task to crowdsource impressions of vloggers that extends a tradition of studies of personality impressions with the addition of attractiveness and mood impressions.  ...  ACKNOWLEDGMENT We thank the support of the Swiss National Science Foundation (SNSF) through the IM2 project.  ... 
doi:10.1109/tmm.2014.2346471 fatcat:dadz7rly4rc67kbja76xdd3lda

Fluid Composition of Intermittent IoT Energy Services [article]

Abdallah Lakhdari, Athman Bouguettaya
2020 arXiv   pre-print
We propose a novel fluid composition approach of wireless energy services in a crowdsourced IoT environment.  ...  We leverage the mobility patterns of the crowd in confined areas to capture the intermittent behavior of IoT energy services.  ...  We conduct a set of experiments to investigate the scalability and the effectiveness of the proposed composition technique.  ... 
arXiv:2008.00787v1 fatcat:ynvyegawqrhqdb23eu3fhyds74

Learning from various labeling strategies for suicide-related messages on social media: An experimental study [article]

Tong Liu and Qijin Cheng and Christopher M. Homan and Vincent M.B. Silenzio
2017 arXiv   pre-print
We conducted multiple rounds of data labeling and collected annotations from crowdsourcing workers and domain experts.  ...  So how to obtain reliable gold standard labels is fundamentally challenging and, we hypothesize, depends largely on what is asked of the annotators and what slice of the data they label.  ...  We also plan to investigate to what extent we could reduce the reliability loss of the disagreement among multiple annotators on the final output supervised models.  ... 
arXiv:1701.08796v1 fatcat:inh4irh7y5a5tid3rs4cnqnge4

Blockchain-Assisted Crowdsourced Energy Systems [article]

Shen Wang and Ahmad Taha and Jianhui Wang
2018 arXiv   pre-print
This paper explores a framework for Crowdsourced Energy Systems (CES), where small-scale energy generation or energy trading is crowdsourced from distributed energy resources, electric vehicles, and shapable  ...  The merits/pillars of energy crowdsourcing are discussed. Then, an operational model for CESs in distribution networks with different types of crowdsourcees is proposed.  ...  ACKNOWLEDGMENTS The authors acknowledge the anonymous reviewers and Dr. Nikolaos Gatsis for their helpful comments and suggestions.  ... 
arXiv:1802.03099v2 fatcat:ij7lu54hazg55fxr4mqqa4ki2e

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

Feifei Zheng, Ruoling Tao, Holger R. Maier, Linda See, Dragan Savic, Tuqiao Zhang, Qiuwen Chen, Thaine H. Assumpção, Pan Yang, Bardia Heidari, Jörg Rieckermann, Barbara Minsker (+4 others)
2018 Reviews of Geophysics  
This paper also features a review of 93 papers dealing with issues that are common to data acquisition methods in different domains of geophysics, including the management of crowdsourcing projects, data  ...  In this paper, crowdsourcing-based data acquisition methods that have been used in seven domains of geophysics, including weather, precipitation, air pollution, geography, ecology, surface water and natural  ...  Acknowledgments, Samples, and Data Professor Feifei Zheng  ... 
doi:10.1029/2018rg000616 fatcat:365pv43nbvdrvbpt6elmlmpmca

Worker Performance in a Situated Crowdsourcing Market

Jorge Goncalves, Simo Hosio, Yong Liu, Vassilis Kostakos
2015 Interacting with computers  
several types of crowdsourcing.  ...  We present an empirical study that investigates crowdsourcing performance in a situated market.  ...  This work is partially funded by the Academy of Finland (Grants 276786-AWARE, 285062-iCYCLE, 286386-CPDSS, 285459-iSCIENCE), and the European Commission (Grants PCIG11-GA-2012-322138 and 645706-GRAGE).  ... 
doi:10.1093/iwc/iwv035 fatcat:fu3dpvo47bakbcmlm5f43nnrta

Algorithmic Management for Improving Collective Productivity in Crowdsourcing

Han Yu, Chunyan Miao, Yiqiang Chen, Simon Fauvel, Xiaoming Li, Victor R. Lesser
2017 Scientific Reports  
By analysing typical crowdsourcing system dynamics, we established a simple and novel worker desirability index (WDI) jointly considering the effect of each worker's reputation, workload and motivation  ...  Crowdsourcing systems are complex not only because of the huge number of potential strategies for assigning workers to tasks, but also due to the dynamic characteristics associated with workers.  ...  output over a period of time and predict its likely value in the immediate future.  ... 
doi:10.1038/s41598-017-12757-x pmid:28970545 pmcid:PMC5624899 fatcat:xgprartvdvgalodrentbh7k3ue

POnline: An Online Pupil Annotation Tool Employing Crowd-sourcing and Engagement Mechanisms

David Gil de Gómez Pérez, Roman Bednarik
2019 Human Computation  
In addition, reliability of manual annotations is hard to establish with a low number of annotators.  ...  crowd power to create reliable annotations \cite{artstein2005bias}.  ...  This paper proposes a novel solution to the problem of pupil annotation by the implementation and evaluation of an online system that allows the crowdsourcing of the annotation data.  ... 
doi:10.15346/hc.v6i1.99 fatcat:yyf7jku3pnfdpgbchqb2ilusjm
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