TY - GEN
T1 - Novelty and diversity
T2 - 39th International Conference on Information Systems, ICIS 2018
AU - Han, Yue
AU - Nickerson, Jeffrey V.
N1 - Publisher Copyright:
© International Conference on Information Systems 2018, ICIS 2018.All rights reserved.
PY - 2018
Y1 - 2018
N2 - Remixing is used as a method to harness collective intelligence in many online innovation communities. In these remixing communities, users can reuse previous work to produce innovative outcomes. However, some users tend to make remix decisions based on what is immediately visible to them. Because of this they miss opportunities to further explore the design space. Can crowd members be guided to conduct collective exploration in a systematic way to better cover the design space? In this paper an exploratory study compares the collective exploration of ideas generated by four human-based remixing algorithms: deepening, widening, depth-first, and breadth-first. The distances between ideas that are generated by these remixing algorithms are calculated and compared. The results suggest that the deepening and hybrid algorithms can encourage users to better cover the design space. Potential ways to further improve the algorithms are discussed, with the goal of encouraging collective exploration through remixing.
AB - Remixing is used as a method to harness collective intelligence in many online innovation communities. In these remixing communities, users can reuse previous work to produce innovative outcomes. However, some users tend to make remix decisions based on what is immediately visible to them. Because of this they miss opportunities to further explore the design space. Can crowd members be guided to conduct collective exploration in a systematic way to better cover the design space? In this paper an exploratory study compares the collective exploration of ideas generated by four human-based remixing algorithms: deepening, widening, depth-first, and breadth-first. The distances between ideas that are generated by these remixing algorithms are calculated and compared. The results suggest that the deepening and hybrid algorithms can encourage users to better cover the design space. Potential ways to further improve the algorithms are discussed, with the goal of encouraging collective exploration through remixing.
KW - Collective intelligence
KW - Crowdsourcing
KW - Digital innovation
KW - Human computation
KW - Innovation search
KW - Remixing
UR - http://www.scopus.com/inward/record.url?scp=85062561943&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062561943&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85062561943
T3 - International Conference on Information Systems 2018, ICIS 2018
BT - International Conference on Information Systems 2018, ICIS 2018
Y2 - 13 December 2018 through 16 December 2018
ER -