Visual Sensemaking of Massive Crowdsourced Data for Design Ideation

Novice and Expert Sensemaking of Crowdsourced Feedback

Online feedback exchange (OFE) systems are an increasingly popular way to test concepts with millions of target users before going to market. Yet, we know little about how designers make sense of this abundant feedback. This empirical study investigates how expert and novice designers make sense of feedback in OFE systems. We observed that when feedback con�icted with frames originating from th...

CRICTO: Supporting Sensemaking through Crowdsourced Information Schematization

We present CRICTO, a new crowdsourcing visual analytics environment for making sense of and analyzing text data, whereby multiple crowdworkers are able to parallelize the simple information schematization tasks of relating and connecting entities across documents. The diverse links from these schematization tasks are then automatically combined and the system visualizes them based on the semant...

investigating the feasibility of a proposed model for geometric design of deployable arch structures

deployable scissor type structures are composed of the so-called scissor-like elements (sles), which are connected to each other at an intermediate point through a pivotal connection and allow them to be folded into a compact bundle for storage or transport. several sles are connected to each other in order to form units with regular polygonal plan views. the sides and radii of the polygons are...

CrowdMGR: Interactive Visual Analytics to Interpret Crowdsourced Data

Crowdsourcing is popularly defined as a paradigm that utilizes human processing power to solve problems that computers cannot yet solve. While recent research has been dedicated to improve the problem-solving potential of crowdsourcing activities, not much has been done to help a user quickly extract the valuable knowledge from crowdsourced solutions to a problem, without having to spend a lot ...

Implementing Visual Analytics Methods for Massive Collections of Movement Data