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Title
Abstract
Figures
Introduction
Innovation vs. Design vs. Creativity
Materials and Methods
Materials
Results of the Systematic Mapping Study
Discussion
Conclusion
References
All Topics
Psychology
Cognitive Psychology

Creativity support systems: A systematic mapping study

Profile image of Alex Gabriel LAURA JULYAlex Gabriel LAURA JULY

2016, Thinking Skills and Creativity

https://doi.org/10.1016/J.TSC.2016.05.009
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Abstract

Systematic mapping study of the creative support systems  Descriptive statistic about the creative support system characteristics  Overall trend of creative support systems to focus on idea generation

Figures (8)
@Percentages do not add up to 100 because some supports use more than one technology.
@Percentages do not add up to 100 because some supports use more than one technology.

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References (50)

  1. Ardaiz-Villanueva, O., Nicuesa-Chacón, X., Brene-Artazcoz, O., Sanz de Acedo Lizarraga, M. L., & Sanz de Acedo Baquedano, M. T. (2011). Evaluation of computer tools for idea generation and team formation in project-based learning. Computers & Education, 56(3), 700-711. http://doi.org/10.1016/j.compedu.2010.10.012
  2. Basadur, M., Basadur, T., & Licina, G. (2012). Chapter 26 -Organizational Development. In Michael D. Mumford (Ed.), Handbook of Organizational Creativity (pp. 667-703). San Diego: Academic Press. Retrieved from http://www.sciencedirect.com/science/article/pii/B9780123747143000264
  3. Bellandi, V., Ceravolo, P., Damiani, E., Frati, F., & Maggesi, J. (2012). Towards a Collaborative Innovation Catalyst (pp. 637-43). IEEE. http://doi.org/10.1109/SITIS.2012.96
  4. Boden, M. A. (1994). Agent and creativity. Communication of the ACM, 37(7), 117-121.
  5. Boly, V. (2008). Ingenerie de l'innovation: organisation et méthodologies des entreprises innovantes (Lavoisier). Hermes Science Publications.
  6. Bonnardel, N., & Zenasni, F. (2010). The Impact of Technology on Creativity in Design: An Enhancement? Creativity and Innovation Management, 19(2), 180-191. http://doi.org/10.1111/j.1467-8691.2010.00560.x
  7. Brade, M., Heseler, J., & Groh, R. (2011). An Interface for Visual Information-Gathering during Web Browsing Sessions: BrainDump-A Versatile Visual Workspace for Memorizing and Organizing Information (pp. 112-119). Retrieved from http://www.thinkmind.org/index.php?view=article&articleid=achi_2011_5_30_20210
  8. Browning, T. R., Fricke, E., & Negele, H. (2006). Key concepts in modeling product development processes. Systems Engineering, 9(2), 104-128. http://doi.org/10.1002/sys.20047
  9. CogniStreamer® -open innovation and collaboration platform. (2014, May 21). Retrieved May 21, 2014, from http://www.cognistreamer.com/
  10. Damanpour, F., & Aravind, D. (2012). Chapter 19 -Organizational Structure and Innovation Revisited: From Organic To Ambidextrous Structure. In Michael D. Mumford (Ed.), Handbook of Organizational Creativity (pp. 483-513). San Diego: Academic Press. Retrieved from http://www.sciencedirect.com/science/article/pii/B9780123747143000197
  11. da Silva, F. Q. B., Costa, C., Franca, A. C. C., & Prikladinicki, R. (2010). Challenges and Solutions in Distributed Software Development Project Management: A Systematic Literature Review (pp. 87-96). IEEE. http://doi.org/10.1109/ICGSE.2010.18
  12. Deloitte. (2011). Mobile technology, Keep pace in a changing consumer environment.
  13. Friess, M. R., Kleinhans, M., Klügel, F., & Groh, G. (2012). A Tabletop Application Environment for Generic Creativity Techniques. International Journal of Computer Information Systems and Industrial Management Applications, 4, 55-65.
  14. Gero, J. S., & Kannengiesser, U. (2004). The situated function-behaviour-structure framework. Design Studies, 25(4), 373-391. http://doi.org/10.1016/j.destud.2003.10.010
  15. Geyer, F., Budzinski, J., & Reiterer, H. (2012). IdeaVis: a hybrid workspace and interactive visualization for paper-based collaborative sketching sessions (pp. 331-340). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=2399069
  16. Glăveanu, V. P. (2010). Paradigms in the study of creativity: Introducing the perspective of cultural psychology. New Ideas in Psychology, 28(1), 79-93. http://doi.org/10.1016/j.newideapsych.2009.07.007
  17. Goel, A. K., Vattam, S., Wiltgen, B., & Helms, M. (2012). Cognitive, collaborative, conceptual and creative -Four characteristics of the next generation of knowledge-based CAD systems: A study in biologically inspired design. Computer-Aided Design, 44(10), 879-900. http://doi.org/10.1016/j.cad.2011.03.010
  18. Hailpern, J., Hinterbichler, E., Leppert, C., Cook, D., & Bailey, B. P. (2007). TEAM STORM: demonstrating an interaction model for working with multiple ideas during creative group work (pp. 193-202). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1254987
  19. Herrmann, T., & Nolte, A. (2010). The Integration of Collaborative Process Modeling and Electronic Brainstorming in Co-located Meetings. Presented at the CRIWG.
  20. Hilliges, O., Terrenghi, L., Boring, S., Kim, D., Richter, H., & Butz, A. (2007). Designing for collaborative creative problem solving (pp. 137-146). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1254980
  21. Howard, T. J., Culley, S. J., & Dekoninck, E. (2008). Describing the creative design process by the integration of engineering design and cognitive psychology literature. Design Studies, 29(2), 160-180. http://doi.org/10.1016/j.destud.2008.01.001
  22. Huang, C.-C., Li, T.-Y., Wang, H.-C., & Chang, C.-Y. (2007). A collaborative support tool for creativity learning: Idea storming cube (pp. 31-35). Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4280942
  23. Jones, A., Kendira, A., Lenne, D., Gidel, T., & Moulin, C. (2011). The TATIN-PIC project: A multi-modal collaborative work environment for preliminary design (pp. 154-161). IEEE Computer Society. http://doi.org/10.1109/CSCWD.2011.5960069
  24. Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering (EBSE Technical Report No. EBSE-2007-01). Keele ,UK: Software Engineering Group, School of Computer Science and Mathematic, Keele University. Retrieved from https://www.cs.auckland.ac.nz/~norsaremah/2007%20Guidelines%20for%20performing%20
  25. Laboranova. (2014, May 22). Retrieved May 22, 2014, from http://www.laboranova.com/ Long, H. (2014). More than appropriateness and novelty: Judges' criteria of assessing creative products in science tasks. Thinking Skills and Creativity, 13, 183-194. http://doi.org/10.1016/j.tsc.2014.05.002
  26. Lubart, T. (2003). Psychologie de la créativité. Armand Colin.
  27. Mangano, N., & Hoek, A. van der. (2012). The design and evaluation of a tool to support software designers at the whiteboard. Automated Software Engineering, 19(4), 381-421. http://doi.org/10.1007/s10515-012-0104-9
  28. McCaffrey, T., & Spector, L. (2011). How the obscure features hypothesis leads to innovation assistant software. In Proceedings of the second international conference on computational creativity (pp. 120-122). Retrieved from http://iccc11.cua.uam.mx/proceedings/the_helpful/mccaffrey_iccc11.pdf
  29. Mumford, M. D. (2012). Handbook of Organizational Creativity. Elsevier professional. Retrieved from http://www.sciencedirect.com/science/book/9780123747143
  30. Nemiro, J. (2004). Creativity in virtual teams: Key components for success. Pfeiffer.
  31. Ogot, M., & Okudan, G. E. (2007). Systematic creativity methods in engineering education: a learning styles perspective. International Journal of Engineering Education, 22(3), 566-576.
  32. Osborn, A. F. (1963). Applied Imagination; Principles and Procedures of Creative Problem-solving.
  33. Scribner.
  34. Puccio, G. J., & Cabra, J. F. (2012). Chapter 9 -Idea Generation and Idea Evaluation: Cognitive Skills and Deliberate Practices. In Michael D. Mumford (Ed.), Handbook of Organizational Creativity (pp. 189-215). San Diego: Academic Press. Retrieved from http://www.sciencedirect.com/science/article/pii/B9780123747143000094
  35. Ray, D. K., & Romano Jr, N. C. (2013). Creative Problem Solving in GSS Groups: Do Creative Styles Matter? Group Decision and Negotiation, 22(6), 1129-1157. http://doi.org/10.1007/s10726- 012-9309-3
  36. Setchi, R., & Bouchard, C. (2010). In search of design inspiration: A semantic-based approach. Journal of Computing and Information Science in Engineering, 10(3). http://doi.org/10.1115/1.3482061
  37. Shneiderman, B. (2007, December). Creativity Support Tools-Accelerating Discovery and Innovation. Communications of the ACM, 50(12), 20-32.
  38. Soriano de Alencar, E. M. L. (2012). Chapter 5 -Creativity in Organizations: Facilitators and Inhibitors. In Michael D. Mumford (Ed.), Handbook of Organizational Creativity (pp. 87-111). San Diego: Academic Press. Retrieved from http://www.sciencedirect.com/science/article/pii/B9780123747143000057
  39. Sorli, M., & Stokic, D. (2009). Innovating in Product/Process Development. London: Springer.
  40. Streitz, N. A., Geissler, J., Holmer, T., Konomi, S. 'ichi, Müller-Tomfelde, C., Reischl, W., … Steinmetz, R. (1999). i-LAND: an interactive landscape for creativity and innovation (pp. 120-127). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=303010
  41. Sugimoto, M., Hosoi, K., & Hashizume, H. (2004). Caretta: a system for supporting face-to-face collaboration by integrating personal and shared spaces (pp. 41-48). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=985698
  42. Sundholm, H., Artman, H., & Ramberg, R. (2004). Backdoor Creativity: Collaborative Creativity in Technology Supported Teams. (pp. 99-114). Retrieved from http://books.google.com/books?hl=en&lr=&id=NJQeyFBXROUC&oi=fnd&pg=PA99&dq=%22i s+not+placed+in+the+heads+or+minds+of+individuals+but+rather+in+the%22+%22authors+f ocus+on+the+concepts+of+ability+and+talent+(or+creativity,+authors%E2%80%99+remark) %22+&ots=veOqPcbff-&sig=6loE96oZ900hpajF8RlQ_BS1_0Y
  43. ThinkTank. (n.d.). Retrieved from http://www.groupsystems.com/
  44. Tidd, J., & Bessant, J. (2009). Managing innovation: integrating technological, market and organizational change (4th ed.). Chichester, UK: John Wiley & Sons.
  45. Voigt, M., Bergener, K., & Becker, J. (2013). Comprehensive Support for Creativity-Intensive Processes An Explanatory Information System Design Theory. Business & Information Systems Engineering, 5(4), 227-242. http://doi.org/10.1007/s12599-013-0272-6
  46. Von Stamm, B. (2008). Managing innovation, design and creativity. Chichester, UK: Wiley.
  47. Warr, A., & O'Neill, E. (2005). Understanding design as a social creative process (pp. 118-127). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1056242
  48. Warr, A., & O'Neill, E. (2007). Tool support for creativity using externalizations (pp. 127-136). ACM. Retrieved from http://dl.acm.org/citation.cfm?id=1254979
  49. Wilson, M., Scalise, K., & Gochyyev, P. (2015). Rethinking ICT literacy: From computer skills to social network settings. Thinking Skills and Creativity, 18, 65-80. http://doi.org/10.1016/j.tsc.2015.05.001
  50. Zeng, L., Proctor, R. W., & Salvendy, G. (2011). Can Traditional Divergent Thinking Tests Be Trusted in Measuring and Predicting Real-World Creativity? Creativity Research Journal, 23(1), 24-37. http://doi.org/10.1080/10400419.2011.545713

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