TY - GEN
T1 - Facilitating Natural Flow of Information among “Taste-based” Groups
AU - Nakajima, Tatsuo
AU - Hirade, Satoshi
AU - Liu, Yefeng
AU - Alexandrova, Todorka
PY - 2013/4/27
Y1 - 2013/4/27
N2 - Social science studies have shown that the disconnection of people from different social classes or opinion groups may reinforce serious problems to our society (e.g., residential segregation, group polarization, or confirmation bias). With the emerging trend of the Web 2.0, however, different kinds of people are likely having less chance to share information with each other. How to design for supporting better information flow among different social, taste, or opinion groups of people becomes a challenging question for digital designers. In this work-in-progress paper we present our on-going research of exploring a crowd-based system for facilitating natural information flow among different types of people. We conducted a Wizard-of-OZ study to simulate push-based human powered recommendation, and learn how participants react when receiving unexpected information. Based on the findings, we designed and implemented a web application for encouraging different kinds of people to exchange information in a peer-to-peer way. Next steps include designing pairing strategy and conducting user study.
AB - Social science studies have shown that the disconnection of people from different social classes or opinion groups may reinforce serious problems to our society (e.g., residential segregation, group polarization, or confirmation bias). With the emerging trend of the Web 2.0, however, different kinds of people are likely having less chance to share information with each other. How to design for supporting better information flow among different social, taste, or opinion groups of people becomes a challenging question for digital designers. In this work-in-progress paper we present our on-going research of exploring a crowd-based system for facilitating natural information flow among different types of people. We conducted a Wizard-of-OZ study to simulate push-based human powered recommendation, and learn how participants react when receiving unexpected information. Based on the findings, we designed and implemented a web application for encouraging different kinds of people to exchange information in a peer-to-peer way. Next steps include designing pairing strategy and conducting user study.
KW - Crowdsourcing
KW - Information Flow
KW - Serendipity
UR - http://www.scopus.com/inward/record.url?scp=85040725864&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85040725864&partnerID=8YFLogxK
U2 - 10.1145/2468356.2468512
DO - 10.1145/2468356.2468512
M3 - Conference contribution
AN - SCOPUS:85040725864
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 871
EP - 876
BT - CHI EA 2013 - Extended Abstracts on Human Factors in Computing Systems
A2 - Beaudouin-Lafon, Michel
A2 - Baudisch, Patrick
A2 - Mackay, Wendy E.
PB - Association for Computing Machinery
T2 - 31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013
Y2 - 27 April 2013 through 2 May 2013
ER -