Hostname: page-component-848d4c4894-wg55d Total loading time: 0 Render date: 2024-05-16T02:05:10.695Z Has data issue: false hasContentIssue false

ANALYSIS OF INTENT-DESIGN RELATIONSHIP FOR ARTIFICIAL INTELLIGENCE DESIGN AGENT MODEL BASED ON PRODUCT PURCHASING PROCESS

Published online by Cambridge University Press:  11 June 2020

M. Le*
Affiliation:
Seoul National University, Republic of Korea
E.-C. Jung
Affiliation:
Seoul National University, Republic of Korea

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

This study aims at proposing an AI-agent model that helps designers to understand and interpret clients’ intent and create customized design outcomes. We recorded and analysed the purchasing process of collecting product information, selecting alternative products and making decision to understand the influence of artefacts on the client's intent during the purchasing process and collect the basic data for proposing an AI-agent model. We analysed the process by Linkography and found the relationship between the decision-making patterns and the artefacts that presented by the AI-agent.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

References

Abramovich, G. (2018), Technology and Creativity Go Hand in Hand: Study. [online] CMO.adobe.com. Available at: https://cmo.adobe.com/articles/2018/10/adobe-pfeiffer-ai-creativity-study.html#gs.fn3wyi (accessed 9 Nov. 2019).Google Scholar
Amazon Web Services, Inc. (2019), Real-time personalization and recommendation | Amazon Personalize | AWS. [online] Amazon, Available at: https://aws.amazon.com/personalize/?nc1=h_ls (accessed 9 Oct. 2019).Google Scholar
BOMB Magazine (2018), A.I. Storytelling: On Ross Goodwin's 1 the Road by Connor Goodwin. [online] BOMB Magazine, Available at: https://bombmagazine.org/articles/ross-goodwins-1-the-road/ (accessed 9 Oct. 2019).Google Scholar
Crilly, N. and Clarkson, P.J. (2006), “The influence of consumer research on product aesthetics”, Proceedings DESIGN 2006, the 9th International Design Conference, Dubrovnik, Croatia, Croatia, 15-18, 2006, The Design Society, Glasgow, pp. 689696.Google Scholar
Crilly, N., Maier, A.M. and Clarkson, P.J. (2008), “Representing artefacts as media: Modelling the relationship between designer intent and consumer experience”, International Journal of Design, Vol. 2 No. 3, pp. 1527.Google Scholar
Dai, S., Zhang, Z. and Xia, G.G. (2018), “Music style transfer: A position paper”, To be published in Proceeding of International Workshop on Musical Metacreation (MUME). Arxiv. [Preprint] Available at: http://arxiv.org/abs/1803.06841. (accessed: 8 Jun. 2019).Google Scholar
Design Council (2005), What is the framework for innovation? Design Council's evolved Double Diamond. [online] Design Council. Available at: https://www.designcouncil.org.uk/news-opinion/what-framework-innovation-design-councils-evolved-double-diamond (accessed 1 Nov. 2019).Google Scholar
Gatys, L.A., Ecker, A.S. and Bethge, M. (2016), “A neural algorithm of artistic style”, Journal of Vision, Vol. 16 No. 12, p. 326. http://dx.doi.org/10.1167/16.12.326CrossRefGoogle Scholar
Gero, J.S. and Fujii, H. (2000), “A computational framework for concept formation for a situated design agent”, Knowledge-Based Systems, Vol. 13 No. 6, pp. 361368. https://doi.org/10.1016/S0950-7051(00)00076-9CrossRefGoogle Scholar
Gero, J.S. and Kannengiesser, U. (2004), “The situated function–behaviour–structure framework”, Design studies, Vol. 25 No. 4, pp. 373391. https://doi.org/10.1016/j.destud.2003.10.010CrossRefGoogle Scholar
Goldschmidt, G. (1990), “Linkography: Assessing design productivity”, Cyber-betics and system ‘90, proceedings of the tenth European meeting on cybernetics and systems research, World Scientific, pp. 291298.Google Scholar
Goldschmidt, G. (2014), Linkography: Unfolding the design process, The MIT Press, Cambridge, Mass.CrossRefGoogle Scholar
Herrmann, A., Huber, F. and Braunstein, C. (2000), “Market-driven product and service design: Bridging the gap between customer needs, quality management, and customer satisfaction”, International Journal of Production Economics, Vol. 66 No. 1, pp.7796. https://doi.org/10.1016/S0925-5273(99)00114-0CrossRefGoogle Scholar
Lemon, K. and Verhoef, P. (2016), “Understanding Customer Experience Throughout the Customer Journey”, Journal of Marketing, Vol. 80 No. 6, pp. 6996. https://doi.org/10.1509/jm.15.0420CrossRefGoogle Scholar
Puccinelli, N. et al. (2009), “Customer Experience Management in Retailing: Understanding the Buying Process”, Journal of Retailing, Vol. 85 No. 1, pp. 1530. https://doi.org/10.1016/j.jretai.2008.11.003CrossRefGoogle Scholar
Smith, G.J. and Gero, J.S. (2005), “What does an artificial design agent mean by being ‘situated’?”, Design studies, Vol. 26 No. 5, pp. 535561. https://doi.org/10.1016/j.destud.2005.01.001CrossRefGoogle Scholar
Spinuzzi, C. (2005), “The methodology of participatory design”, Technical Communication, Vol. 52 No. 2, pp. 163174.Google Scholar
Stolzoff, S. (2018), Artists aren't worried about being replaced by robots—but should they be? [online] Quartz at Work. Available at: https://qz.com/work/1414602/will-artists-get-replaced-by-robots/ (accessed 9 Nov. 2019).Google Scholar
Tjalve, E. (1979), A short course in industrial design, 1st ed., Newnes, London. https://doi.org/10.1016/c2013-0-00824-9Google Scholar
Ulrich, K.T. and Eppinger, S.D. (2015), “Identifying Customer Needs”, In: Ulrich, K.T. and Eppinger, S.D. (Eds.), Product Design and Development, 5th ed., McGraw-Hill, New York, pp. 7391.Google Scholar
Verhoef, P. et al. (2009), “Customer Experience Creation: Determinants, Dynamics and Management Strategies”, Journal of Retailing, Vol. 85 No. 1, pp. 3141. https://doi.org/10.1016/j.jretai.2008.11.001CrossRefGoogle Scholar
Wiktionary (2019), Agent. [online] Wiktionary. Available at: https://en.wiktionary.org/wiki/agentGoogle Scholar
Yang, X. et al. (2016), “Automatic generation of visual-textual presentation layout”, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 12 No. 2, p. 33. https://doi.org/10.1145/2818709Google Scholar
Zhang, S. (2018), The impact of artificial intelligence on traditional design processes. [online] zhihu.com. Available at: https://zhuanlan.zhihu.com/p/39826905 (accessed 8 Oct. 2019).Google Scholar