ACII 2007: Affective Computing and Intelligent Interaction pp 618-629 | Cite as
Creative Industrial Design and Computer-Based Image Retrieval: The Role of Aesthetics and Affect
Abstract
A study is reported that examined the effectiveness of computerbased image retrieval as a support tool for creative industrial design. Participants were given a design brief for a concept car, and asked to retrieve images from the web that would provide inspiration for this design task. They then rated various aesthetic, affective, and inspirational aspects of the images, and a second sample of participants rated the search terms that they had used. Emotional inspiration was important to designers, arising in part from a broad semantic theme and in part from the inspirational values of the more ’fundamental’ image properties of colour and layout. The pattern of results suggested that some designers adopted a more risky (less efficient) search strategy in order to access emotional image content. Aesthetic and affective aspects of the retrieved images predicted inspirational value.
Keywords
Search Term Image Retrieval Image Property Information Retrieval System Semantic DistancePreview
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References
- 1.Goldschmidt, G., Smolkov, M.: Variances in the impact of visual stimuli on design problem solving performance. Design Studies 27, 549–569 (2006)CrossRefGoogle Scholar
- 2.Malaga, R.A.: The effect of stimulus modes and associative distance in individual creativity support systems. Decision Support Systems 29, 125–141 (2000)CrossRefGoogle Scholar
- 3.Niblack, W., Barber, R., Equitz, W., Flickner, M.D., Glasman, R.H., Petkovic, D., Yanker, P., Faloutsos, C.: QBIC project: querying images by content, using color, texture, and shape. Storage and Retrieval for Image and Video Databases, SPIE, vol. 173 - 187 (1993)Google Scholar
- 4.Heesch, D., Yavlinsky, A., Ruger, S.: Performance comparison of different similarity models for CBIR with relevance feedback. In: Bakker, E.M., Lew, M.S., Huang, T.S., Sebe, N., Zhou, X.S. (eds.) CIVR 2003. LNCS, vol. 2728, pp. 456–466. Springer, Heidelberg (2003)CrossRefGoogle Scholar
- 5.Wang, S., Wang, X.: Emotion semantics image retrieval: A brief overview. In: Tao, J., Tan, T., Picard, R.W. (eds.) ACII 2005. LNCS, vol. 3784, Springer, Heidelberg (2005)Google Scholar
- 6.Li, B., Goh, K., Chang, E.: Confidence-based dynamic ensemble for image annotation and semantics discovery. In: Proceedings of Multimedia 2003, ACM, New York (2003)Google Scholar
- 7.Wang, W., Zhang, A.: Extracting semantic concepts from images: A decisive feature mining approach. Multimedia systems 11, 352–366 (2006)CrossRefGoogle Scholar
- 8.Rummukainnen, L., Koskella, M.: An efficiency comparison of two content-based image retrieval systems, GIFT and PicSOM. In: Bakker, E.M., Lew, M.S., Huang, T.S., Sebe, N., Zhou, X.S. (eds.) CIVR 2003. LNCS, vol. 2728, pp. 500–510. Springer, Heidelberg (2003)CrossRefGoogle Scholar
- 9.Enser, P., Sandom, C.: Toward a comprehensive survey of the semantic gap in visual image retrieval. In: Bakker, E.M., Lew, M.S., Huang, T.S., Sebe, N., Zhou, X.S. (eds.) CIVR 2003. LNCS, vol. 2728, pp. 291–299. Springer, Heidelberg (2003)CrossRefGoogle Scholar
- 10.Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison Wesley, Harlow (1999)Google Scholar
- 11.Lubart, T.I., Getz, I.: Emotion, metaphor, and the creative process. Creativity Research Journal 10, 285–301 (1997)CrossRefGoogle Scholar
- 12.Westerman, S.J., Kaur, S.: Supporting creative industrial design with computer-based information retrieval. In: European Conference on Cognitive Ergonomics. Covent Garden, London (to be presented, 2007)Google Scholar
- 13.Pereira, F.C., Cardoso, A.: Conceptual blending and the quest for the holy creative process. In: Proceedings of the 2nd Workshop on Creative Systems. ECAI 2002, Lyon, France (2002)Google Scholar
- 14.Beale, R.: Supporting serendipity: Using ambient intelligence to augment user exploration for data mining and web browsing. International Journal of Human-Computer Studies 65, 421–433 (2007)CrossRefGoogle Scholar
- 15.Kaur, S., Westerman, S.J., Mougenot, C., Sourbe, L., Bouchard, C.: Computer-based support for creativity in Industrial Design. In: Poster presented at the First International Symposium on Culture, Creativity, and Interaction Design (2006)Google Scholar
- 16.Bonnardel, N., Marmeche, E.: Toward supporting evocation processes in creative design: A cognitive approach. International Journal of Human-Computer Studies 63, 422–435 (2005)CrossRefGoogle Scholar
- 17.Lew, M.S., Sebe, N., Djeraba, C., Jain, R.: Content-based multimedia information retrieval: State of the art and Challenges. ACM Transactions on Multimedia Computing and Applications 2, 1–19 (2006)CrossRefGoogle Scholar