Testing Computational Assessment of Idea Novelty in Crowdsourcing

[1]  Yoed N. Kenett,et al.  Semantic memory and creativity: the costs and benefits of semantic memory structure in generating original ideas , 2023, Thinking & reasoning.

[2]  Selcuk Acar,et al.  Measuring flexibility: A text-mining approach , 2023, Frontiers in Psychology.

[3]  John D. Patterson,et al.  Divergent semantic integration (DSI): Extracting creativity from narratives with distributional semantic modeling , 2022, Behavior Research Methods.

[4]  R. Beaty,et al.  Semantic Distance and the Alternate Uses Task: Recommendations for Reliable Automated Assessment of Originality , 2022, Creativity Research Journal.

[5]  L. de Garrido.  Conceptual Design of a Creative Artificial Intelligence System Based on the Neurocognitive Bases of Human Creativity in the Brain , 2021, Creativity Research Journal.

[6]  R. Sosa,et al.  A Computational Interrogation of “Big-C” and “Little-c” Creativity , 2021, Creativity Research Journal.

[7]  J. Sepulcre,et al.  Creative Connections: Computational Semantic Distance Captures Individual Creativity and Resting-State Functional Connectivity , 2020, Journal of Cognitive Neuroscience.

[8]  Michael Doherty,et al.  Measuring divergent thinking originality with human raters and text-mining models: A psychometric comparison of methods. , 2020 .

[9]  Torsten Oliver Salge,et al.  The application of text mining methods in innovation research: current state, evolution patterns, and development priorities , 2020, R&D Management.

[10]  R. Beaty,et al.  Automating creativity assessment with SemDis: An open platform for computing semantic distance , 2020, Behavior Research Methods.

[11]  Heinz Holling,et al.  Application of Latent Semantic Analysis to Divergent Thinking is Biased by Elaboration , 2019 .

[12]  Jeffrey V. Nickerson,et al.  A Wikipedia-based Method to Support Creative Idea Generation: The Role of Stimulus Relatedness , 2019, J. Manag. Inf. Syst..

[13]  Yoed N. Kenett,et al.  What can quantitative measures of semantic distance tell us about creativity? , 2019, Current Opinion in Behavioral Sciences.

[14]  Tea Lempiälä,et al.  Innovation Contests, Routine Dynamics and Innovation Management , 2019, Creativity and Innovation Management.

[15]  D. Johnson,et al.  The neglect of idea diversity in creative idea generation and evaluation. , 2019 .

[16]  Caitlin Mills,et al.  Beyond subjective judgments: Predicting evaluations of creative writing from computational linguistic features , 2018, Behavior Research Methods.

[17]  Teresa M. Amabile,et al.  ? + ? = creativity. , 2018, Public health nursing.

[18]  Denis Dumas,et al.  Relational reasoning and divergent thinking: An examination of the threshold hypothesis with quantile regression , 2018 .

[19]  Tormod Næs,et al.  How Good are Ideas Identified by an Automatic Idea Detection System? , 2018 .

[20]  Kasia Muldner,et al.  Identifying Creativity During Problem Solving Using Linguistic Features , 2017 .

[21]  Jeffrey V. Nickerson,et al.  A literature review on individual creativity support systems , 2017, Comput. Hum. Behav..

[22]  Richard W. Hass.  Semantic search during divergent thinking , 2017, Cognition.

[23]  Michel Ballings,et al.  Identifying new product ideas : waiting for the wisdom of the crowd or screening ideas in real time , 2017 .

[24]  Ammon Salter,et al.  Evaluating Novelty: The Role of Panels in the Selection of R&D Projects , 2017 .

[25]  J. Scholderer,et al.  In Search of New Product Ideas: Identifying Ideas in Online Communities by Machine Learning and Text Mining , 2017 .

[26]  M. Knudsen,et al.  From Creative Ideas to Innovation Performance: The Role of Assessment Criteria , 2017 .

[27]  Yoed N. Kenett,et al.  The Semantic Distance Task: Quantifying Semantic Distance With Semantic Network Path Length , 2017, Journal of experimental psychology. Learning, memory, and cognition.

[28]  Hui Wang,et al.  Combining Ideas in Crowdsourced Idea Generation , 2017 .

[29]  Richard W. Hass,et al.  Tracking the dynamics of divergent thinking via semantic distance: Analytic methods and theoretical implications , 2017, Memory & cognition.

[30]  Jeongsik Lee,et al.  The Quest for Originality: A New Typology of Knowledge Search and Breakthrough Inventions , 2016 .

[31]  Gaston Heimeriks,et al.  Crowdsourcing ideas: Involving ordinary users in the ideation phase of new product development , 2016 .

[32]  Denis Dumas,et al.  The Creative Stereotype Effect , 2016, PloS one.

[33]  Adam E. Green.  Creativity, Within Reason , 2016 .

[34]  Karim R. Lakhani,et al.  Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance, Novelty, and Resource Allocation in Science , 2016, Manag. Sci..

[35]  C. Schunn,et al.  The importance of iteration in creative conceptual combination , 2015, Cognition.

[36]  Sarah Kaplan,et al.  The double-edged sword of recombination in breakthrough innovation: The Double-Edged Sword of Recombination , 2015 .

[37]  Sergio L. Toral Marín,et al.  Customer preferences versus managerial decision-making in open innovation communities: the case of Starbucks , 2015, Technol. Anal. Strateg. Manag..

[38]  Kevin Dunbar,et al.  Understanding Fluency and Originality: A latent variable perspective , 2014 .

[39]  Mohammed Yeasin,et al.  Empirical study using network of semantically related associations in bridging the knowledge gap , 2014, Journal of Translational Medicine.

[40]  Mark Klein,et al.  High-Speed Idea Filtering with the Bag of Lemons , 2014, IEEE Intell. Informatics Bull..

[41]  Param Vir Singh,et al.  Crowdsourcing New Product Ideas Under Consumer Learning , 2014, Manag. Sci..

[42]  Linus Dahlander,et al.  Distant Search, Narrow Attention: How Crowding Alters Organizations’ Filtering of Suggestions in Crowdsourcing , 2014 .

[43]  Selcuk Acar,et al.  Assessing Associative Distance Among Ideas Elicited by Tests of Divergent Thinking , 2014 .

[44]  Jeremy R. Gray,et al.  Thin slices of creativity: Using single-word utterances to assess creative cognition , 2013, Behavior research methods.

[45]  Margaret L. Kern,et al.  Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach , 2013, PloS one.

[46]  Jeffrey V. Nickerson,et al.  Crowdsourced Idea Generation: The Effect of Exposure to an Original Idea , 2013, AMCIS.

[47]  Jonathan Cagan,et al.  The Meaning of “Near” and “Far”: The Impact of Structuring Design Databases and the Effect of Distance of Analogy on Design Output , 2012 .

[48]  Christopher L. Tucci,et al.  Crowdsourcing As a Solution to Distant Search , 2012 .

[49]  David B. Dunson,et al.  Probabilistic topic models , 2011, KDD '11 Tutorials.

[50]  Thomas Lee Rodgers,et al.  Identifying Quality, Novel, and Creative Ideas: Constructs and Scales for Idea Evaluation , 2006, J. Assoc. Inf. Syst..

[51]  Mark Steyvers,et al.  Finding scientific topics , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[52]  Gerard Salton,et al.  Term-Weighting Approaches in Automatic Text Retrieval , 1988, Inf. Process. Manag..

[53]  T. M. Amabile.  Social psychology of creativity: A consensual assessment technique. , 1982 .

[54]  J. Fleiss,et al.  Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.

[55]  D. Johnson,et al.  Semantic distance: An automated measure of creativity that is novel and appropriate. , 2017 .

[56]  Olivier Toubia,et al.  Idea Generation, Creativity, and Prototypicality , 2017, Mark. Sci..

[57]  Barry L. Bayus,et al.  Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community , 2013, Manag. Sci..