Context-Aware Recommendations using Topic Maps Technology for the Enhancement of the Creativity Process

Learning can be observed in the creativity process. When this process is supported by a Creativity Support Tool (CST), considering the context in which ideas are developed, as well as the context around the user himself and the task he is carrying out can potentially enhance creativity.The tool’s awareness of such context can be exploited in the offering of useful context-aware recommendations to the users on topics such as relevant resources, people, ideas, projects, et cetera. These recommendations can help users during the creativity process and the learning involved, by providing productive stimuli. In the work presented in this chapter we focus on describing a method for enhancing the creativity process through context-aware recommendations. The method uses ontologies for the knowledge representation of context and the topic maps technology for storing, managing, and delivering content used as recommendations. Furthermore we present the software system that has been developed to support this method in a particular collaborative CST, as well as its evaluation.

[1]  Marlies Bitter-Rijpkema idSpace D1.3 - Templates V2 , 2009 .

[2]  Peter J. Brown,et al.  Context-aware applications: from the laboratory to the marketplace , 1997, IEEE Wirel. Commun..

[3]  Tao Gu,et al.  Ontology based context modeling and reasoning using OWL , 2004, IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second.

[4]  Peter Dolog,et al.  A Framework for Browsing, Manipulating and Maintaining Interoperable Learner Profiles , 2005, User Modeling.

[5]  James A. Hendler,et al.  Dynamic Ontologies on the Web , 2000, AAAI/IAAI.

[6]  Christos Mettouris,et al.  idSpace D3.3 – Definition and Implementation of Context Awareness v2 , 2009 .

[7]  David Mason Online Assessment and Measurement: Case Studies From Higher Education, K‐12 and Corporate , 2006 .

[8]  Hans Eveking,et al.  Symbolic simulation techniques-state-of-the-art and applications , 2001, Sixth IEEE International High-Level Design Validation and Test Workshop.

[9]  George Angelos Papadopoulos,et al.  Enhancing the Creativity Process by Adding Context Awareness in Creativity Support Tools , 2009, HCI.

[10]  Roger Dols idSpace D4.4 – idSpace platform & user guide v2 , 2009 .

[11]  Jaakko J. Sauvola,et al.  Towards a conceptual model for context-aware adaptive services , 2003, Proceedings of the Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies.

[12]  Gregory D. Abowd,et al.  A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications , 2001, Hum. Comput. Interact..

[13]  Ben Shneiderman,et al.  Creativity Support Tools: Report From a U.S. National Science Foundation Sponsored Workshop , 2006, Int. J. Hum. Comput. Interact..

[14]  Ben Shneiderman,et al.  Creating creativity: user interfaces for supporting innovation , 2000, TCHI.

[15]  Li-ping Shen,et al.  Ontology-based learning content recommendation , 2005 .

[16]  Bill N. Schilit,et al.  Context-aware computing applications , 1994, Workshop on Mobile Computing Systems and Applications.

[17]  James R. Lewis,et al.  IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use , 1995, Int. J. Hum. Comput. Interact..

[18]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[19]  Judith Masthoff,et al.  A Survey of Explanations in Recommender Systems , 2007, 2007 IEEE 23rd International Conference on Data Engineering Workshop.

[20]  Wolfgang Nejdl,et al.  Smart Space for Learning: A Mediation Infrastructure for Learning Services , 2003 .

[21]  Jadwiga Indulska,et al.  Generating context management infrastructure from high level context models , 2003 .

[22]  R. Beghetto,et al.  Why Creativity Is Domain General, Why It Looks Domain Specific, and Why the Distinction Does Not Matter. , 2004 .

[23]  Dan Morris,et al.  MySong: automatic accompaniment generation for vocal melodies , 2008, CHI.

[24]  Aimé Lay-Ekuakille,et al.  Efficient Artifact Elimination in Cardiac Signals using Variable Step Size Adaptive Noise Cancellers , 2012, Int. J. Meas. Technol. Instrum. Eng..