Crowdsourcing Situated & Subjective Knowledge for Decision Support

被引：4

作者：

Hosio, Simo ^{[1
]}

Goncalves, Jorge ^{[1
]}

van Berkel, Niels ^{[1
]}

Klakegg, Simon ^{[1
]}

机构：

[1] Univ Oulu, Ctr Ubiquitous Comp, FIN-90570 Oulu, Finland

来源：

UBICOMP'16 ADJUNCT: PROCEEDINGS OF THE 2016 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING | 2016年

基金：

芬兰科学院;

关键词：

Mobile Crowdsourcing; Wisdom of the Crowd; Crowdsourcing; Decision Support; Android; Smartphones;

D O I：

10.1145/2968219.2968591

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper we present a study on crowdsourcing subjective knowledge. We introduce a mobile app that was built for this purpose, and compare results from two datasets collected using the app. One dataset was collected during a workshop and the other one during a one-week long field trial. We present interview findings on mobile knowledge collection. Further, we discuss the types of information that should optimally be collected on the go, and show how our data analysis supports the qualitative findings. This work directly continues our earlier efforts on creating a platform that encapsulates wisdom of the crowd for decision support.

引用

页码：1478 / 1483

页数：6

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