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Jeffrey V. Nickerson
Stevens Institute of Technology
142Publications
19H-index
2,902Citations
Publications 142
Newest
Published on Jan 7, 2018
Ingrid Erickson9
Estimated H-index: 9
(SU: Syracuse University),
Lionel P. Robert10
Estimated H-index: 10
(UM: University of Michigan)
+ 1 AuthorsJeffrey V. Nickerson19
Estimated H-index: 19
(Stevens Institute of Technology)
This all-day workshop aims to promote convergence among its participants on research related to working with intelligent machines. We define intelligent machines as both material (e.g., robots) and immaterial (e.g., algorithms) computing technologies that can be characterized by autonomy, the ability to learn, and the ability to interact with other systems and with humans. The workshop has three goals: identifying specific research problems around work and intelligent machines, developing a comm...
Published on Jan 1, 2018
Jeffrey V. Nickerson19
Estimated H-index: 19
(Stevens Institute of Technology),
Pnina Fichman4
Estimated H-index: 4
(IU: Indiana University Bloomington),
Donald Steiny2
Estimated H-index: 2
(University of Oulu)
Leona Chandra Kruse3
Estimated H-index: 3
,
Jeffrey V. Nickerson19
Estimated H-index: 19
Published on Sep 1, 2017in Computers in Human Behavior4.31
Kai Wang4
Estimated H-index: 4
(Kean University),
Jeffrey V. Nickerson19
Estimated H-index: 19
(Stevens Institute of Technology)
Individual creativity support systems have been developed to facilitate creative work. This article reviews the various design requirements and approaches proposed for supporting individual creative work, as well as relevant creativity theories. Current creativity support systems use many approaches in supporting the collection of relevant information and the creation of ideas or artifacts. However, the designs are typically based on just a few creativity theories. Based on various creativity th...
Published on Jan 1, 2017in Management Information Systems Quarterly4.37
Harris Kyriakou3
Estimated H-index: 3
(University of Navarra),
Jeffrey V. Nickerson19
Estimated H-index: 19
,
Gaurav Sabnis1
Estimated H-index: 1
Theories of knowledge reuse posit two distinct processes: reuse for replication and reuse for innovation. We identify another distinct process, reuse for customization. Reuse for customization is a process in which designers manipulate the parameters of metamodels to produce models that fulfill their personal needs. We test hypotheses about reuse for customization in Thingiverse, a community of designers that shares files for three-dimensional printing. 3D metamodels are reused more often than t...
Published on Feb 25, 2017 in CSCW (Conference on Computer Supported Cooperative Work)
Thomas W. Malone53
Estimated H-index: 53
(MIT: Massachusetts Institute of Technology),
Jeffrey V. Nickerson19
Estimated H-index: 19
(Stevens Institute of Technology)
+ 4 AuthorsW. Ben Towne6
Estimated H-index: 6
(CMU: Carnegie Mellon University)
A key issue, whenever people work together to solve a complex problem, is how to divide the problem into parts done by different people and combine the parts into a solution for the whole problem. This paper presents a novel way of doing this with groups of contests called contest webs. Based on the analogy of supply chains for physical products, the method provides incentives for people to (a) reuse work done by themselves and others, (b) simultaneously explore multiple ways of combining interc...
Published on Jan 1, 2017 in ICIS (International Conference on Information Systems)
Yue Han2
Estimated H-index: 2
(Stevens Institute of Technology),
Jeffrey V. Nickerson19
Estimated H-index: 19
(Stevens Institute of Technology)
Published on Jan 1, 2017 in HICSS (Hawaii International Conference on System Sciences)
Pnina Fichman4
Estimated H-index: 4
(IU: Indiana University Bloomington),
Jeffrey V. Nickerson19
Estimated H-index: 19
(Stevens Institute of Technology),
Donald Steiny2
Estimated H-index: 2
(University of Oulu)
Published on Aug 31, 2016in The Journal of Investing
Germán G. Creamer10
Estimated H-index: 10
(Stevens Institute of Technology),
Yong Ren4
Estimated H-index: 4
(Stevens Institute of Technology)
+ 1 AuthorsJeffrey V. Nickerson19
Estimated H-index: 19
(Stevens Institute of Technology)
This article explores the use of the crowd to interpret text and the power of that interpretation to predict future events. This topic is addressed through an experiment in which news sentiment is evaluated by crowds and experts in different configurations. Their classifications are used as training sets for machine-learning algorithms. The testing is done based on Reuters news stories and the returns of the stocks mentioned right after the stories appear. This article explores a simple trading ...
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