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http://dx.doi.org/10.5143/JESK.2015.34.6.563

Study on Design Research using Semantic Network Analysis  

Chung, Jaehee (Culture & Design Management, Yonsei University)
Nah, Ken (Design Management, IDAS Hongik University)
Kim, Sungbum (IT Convergence, Kumoh National Institute of Technology)
Publication Information
Journal of the Ergonomics Society of Korea / v.34, no.6, 2015 , pp. 563-581 More about this Journal
Abstract
Objective: This study was conducted to investigate the potential of sematic network analysis for design research. Background: As HCD (Human-Centered Design) was emphasized, lots of design research methodologies were developed and used in order to find user needs. However, it is still difficult to discover users' latent needs. This study suggests the semantic network analysis as a complementary means for design research, and proved its potential through the practical application, which compares multi-screen purchase and usage behaviors between America and China. Method: We conducted an in-depth interview with 32 consumers from USA and China, and analyzed interview texts through semantic network analysis. Cross cultural differences in purchase and usage behaviors were investigated, based on measuring centrality and community modularity of devices, functions, key buying factors and brands. Results: Americans use more services and functions in the multi-screen environment, compared to Chinese. As a device substitutes other devices, traditional boundaries of the devices are disappearing in the USA. Americans consider function to recall Apple, but Chinese consider function, design and brand to recall Apple, Sony and Samsung as an important brand at the time of their purchase. Conclusion: This study shows the potential of semantic network analysis for design research through the practical application. Semantic network analysis presents how the concepts regarding a theme are structured in the cognitive map of users with visual images and quantitative data. Therefore, it can complement the qualitative analysis of the existing design research. Application: As the design environment becomes more and more complicated like multi-screen environment, semantic network analysis, which is able to provide design insights in the intuitive and holistic perspective, will be acknowledged as an effective tool for further design research.
Keywords
Design research; Semantic network analysis; Cross-cultural study; Multiscreen purchase and usage behaviors;
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1 Friess, E., The Sword of Data: Does Human-Centered Design Fulfill Its Rhetorical Responsibility?, Design Issues, 26(3), 40-50, 2010.   DOI
2 Ghiani, G., Polet, J., Antila, V. and Mäntyjärvi, J., Evaluating context-aware user interface migration in multi-device environments, Journal of Ambient Intelligence and Humanized Computing, 6(2), 259-277, 2013.   DOI
3 Girvan, M. and Newman, M.E.J., Community Structure in Social and Biological Networks, Proceedings of the National Academy of Sciences, 99(12), 7821-7826, 2002.   DOI
4 Grebitus, C. and Bruhn, M., Analyzing semantic networks of pork quality by means of concept mapping, Food Quality and Preference, 19, 86-96, 2008.   DOI
5 Henderson, G.R., Iacobucci, D. and Calder, B.J., Brand diagnostics: Mapping branding effects using consumer associative networks, European Journal of Operational Research, 111(2), 306-327, 1998.   DOI
6 Howard, T.J., Culley, S.J. and Dekoninck, E., Describing the creative design process by the integration of engineering design and cognitive psychology literature, Design Studies, 29, 160-180, 2008.   DOI
7 Iacobucci, D., Henderson, G., Marcati, A. and Chang, J., Network analysis of brand switching behavior, International Journal of Research in Marketing, 13, 415-429, 1996.   DOI
8 Jameson, D.A., Implication versus inference: Analyzing writer and reader representations in business texts, Business Communication Quarterly, 67(4), 387-411, 2004.   DOI
9 Jonassen, D.H., Beissner, K. and Yacci, M., Structural knowledge, New Jersey: Hillsdale, 1993.
10 Kim, Insook, A study on attributes of user experience in the multi-screen environment, Korea Society of Basic Design & Art, 14(2), 77-87, 2013.
11 Kim, Sungbum, Exploring Consumer Preferences for Mobile Internet and Forecasting the Evolution of Mobile Internet Service, The Journal of Internet Electronic Commerce Research, 12(4), 23-50, 2012.
12 Lee, Dongil and Lee, Haejoon, Understanding the Semantic Network Structure in the Consumer Group Interview with the Subnetwork Analysis, Journal of Consumer Studies, 23(2), 249-272, 2012.
13 Lee, Gwanghoon, Analysis of N-screen Service Users Using Diary Data, Korea Information Society Development Institute, 21(3), 1-21, 2014.
14 Lee, Hyejoon, Lee, Dongil and Lee, Juhyun, Development of franchise employee education programs through semantic network analysis, Korean Business Review, 14(2), 105-128, 2010.
15 Lee, Sihoon and Ahn, Jua, Is possible the activation of psychophysiological measures in advertising research?: Advertising scholar's cognition about psychophysiological measures, Social Science Research Review, 25(4), 25-50, 2009.
16 Lee, Susang, A Content Analysis of Journal Articles Using the Language Network Analysis Methods, Journal of the Korean Society for information Management, 31(4), 49-68, 2014.   DOI
17 Lehmann, F., Semantic networks, International Journal of Computers and Mathematics with Applications, 23(2-5), 1-50, 1992.   DOI
18 Lim, Sohye and Lee, Youngjoo, N Screen Service Users' Motivations for Use and Dissatisfying Factors, The Korea Contents Association, 13(3), 99-108, 2013.   DOI
19 Newman, M.E.J., Detecting community structure in networks, The European Physical Journal, 38(2), 321-330, 2004.   DOI
20 Liu, T.L., Every Sheet Matters: Design Research based on a Quantitative User-diary of Paper Towels, Design Principles and Practices, 4, 231-239, 2010.
21 Newman, M.E.J. and Girvan, M., Finding and Evaluating Community Structure in Networks, Physical Review E., 69(2), 69-83, 2004.
22 Oh, Kyungsoo, Determinants of Intention to Use toward N Screen Service for Potential User, The Korea Contents Association, 12(9), 80-92, 2012.
23 Olson, J.C., Internal belief formation in the cue utilization process, Advances in Consumer Research, 5, 706-713, 1978.
24 Park, Chisung and Chung Jiwon, Text network analysis: focusing on the shared meanings among the policy stakeholders through socio-cognitive network analysis, Journal of Governmental Studies, 19(2), 73-108, 2013.
25 Plowman, T., Ethnography and critical design practice. In Design Research, Methods and Perspectives, 30-38, Brenda Laurel, Cambridge: MIT Press, 2003.
26 Popping, R., Knowledge graphs and network text analysis, Social Science Information, 42(1), 91-106, 2003.   DOI
27 Rice, R.E. and Danowski, J.A., Is it really just like a fancy answering machine? Comparing semantic networks of different types of voice mail users, Journal of Business Communication, 30, 369-397, 1993.   DOI
28 Ryan, G.W. and Bernard, H.R., Data Management and Analysis Methods. In N. Denzin and Y. Lincoln, eds., Handbook of Qualitative Research, 769-802, 2nd ed. Thousand Oaks, CA: Sage Publications, 2000.
29 Seok, Wangmi and Pan, Younghwan, Design considerations for maintaining coherence of user experience in a multi-screen environment: focused upon YouTube contents, Korea Society of Basic Design & Art, 12(4), 213-223, 2011.
30 Sanders, E.B.N., Design research in 2006, Design Research Quarterly, 1(1), 1-8, 2006.
31 Seok, Wangmi and Pan, Younghwan, Evaluation framework for multi-screen contents UX, Journal of the HCI Society of Korea, 841-842, 2011.
32 Steen, M., Tensions in human-centered design, CoDesign, 7(1), 45-60, 2011.   DOI
33 Stewart, J. and Williams, R., The wrong trousers? Beyond the design fallacy: social learning and the user. In H. Rohracher, ed., User involvement in innovation processes: strategies and limitations from a socio-technical perspective, 39-71, Munchen/Wien: Profil Verlag, 2005.
34 Tomlinson, B., Yau, M.L., Baumer, E., Ross, J., Correa, A. and Tomlinson, G.J., Richly Connected Systems and Multi-Device Worlds, MIT Presence, 18(1), 54-71, 2009.   DOI
35 Van Kleef, E., Van Trijp, H.C.M. and Luning, P., Consumer research in the early stages of new product development: a critical review of methods and techniques, Food Quality and Preference, 16(3), 181-201, 2005.   DOI
36 Waljas, M., Segerstahl. K., Vaananen-Vainio-Mattila, K. and Oinas-Kukkonen, H., Cross-Platform Service User Experience: A Field Study and an Initial Framework, Mobile HCI, September 7-10, 2010.
37 Wodehouse, A.J. and Ion, W.J., Information Use in Conceptual Design: Existing Taxonomies and New Approaches, International Journal of Design, 4(3), 53-66, 2010.
38 Zhang, Y., Mao, M., Rau, P.P., Choe, P., Bela, L. and Wang, F., Exploring factors influencing multitasking interaction with multiple smart devices, Computers in Human Behavior, 29, 2579-2588, 2013.   DOI
39 Woelfel, J. and Fink, E.L., The measurement of communication processes: Galileo theory and method, New York: Academic Press, 1980.
40 Zhang, W., Zhang, Q., Yu, B. and Zhao, L., Knowledge map of creativity research based on keywords network and co-word analysis, 1992-2011, Quality & Quantity, 49(3), 1023-1038, 2014.   DOI
41 Cowley, E. and Mitchell, A.A., The moderating effect of product knowledge on the learning and organization of product information, Journal of Consumer Research, 30, 443-454, 2003.   DOI
42 Brdiczka, O., Integral framework for acquiring and evolving situations in smart environments, Journal of Ambient Intell Smart Environ, 2(2), 91-108, 2008.
43 Chang, S.G., A structured scenario approach to multi-screen ecosystem forecasting in Korean communications market, Technological Forecasting & Social Change, 94, 1-20, 2014.
44 Cho, Sungsoo, A Study on the Relationship between N-Screen Service Users' Connected-Use/Simultaneous Use and Perceived Usability & Perceived Ease of Use Based on Multi Device Converged Use, Animation Studies, 9(3), 55-73, 2013.
45 Choi, Sekyung, Kwak, Gyutae and Lee, Wontae, A Study of Influences on Active Use of N-Screen Service: Use Motives, Perceived Usefulness and Affinity, The Korean Society for Journalism & Communication Studies, 58(4), 371-401, 2014.
46 Chung, Dukho, Lee, Junki, Kim, Seoneun and Park, Kyeongjin, An Analysis on Congruency between Educational Objectives of Curriculum and Learning Objectives of Textbooks using Semantic Network Analysis: Focus on Earth Science I in the 2009revised Curriculum, Jour. Korean Earth Science Society, 34(7), 711-726, 2013.   DOI
47 Danowski, J.A., A network-based content analysis methodology for computer-mediated communication: An illustration with a computer bulletin board. In M. Burgoon (Ed.), Communication yearbook 6 (pp. 904-925), New Brunswick, NJ: Transaction, 1982.
48 Davis, F.D., A technology acceptance model for empirically testing new end-user information systems: theory and results, MIT, retrieved from http://hdl.handle.net/1721.1/15192, 1985.
49 Dees, W., Usability of nomadic user interfaces. In Proceedings HCII 2011, 195-204, 2011.
50 Doerfel, M.L., What constitutes semantic network analysis? A comparison of research and methodologies, Connections, 21, 16-26, 1998.
51 Farrell, R. and Hooker, C., Design, science and wicked problems, Design Studies, 34, 681-705, 2013.   DOI