Skip to main content

Design for Harmonious Experience

  • Chapter
  • First Online:
Design for Experience

Part of the book series: Human–Computer Interaction Series ((HCIS))

  • 1821 Accesses

Abstract

From the perspective of compositional experience, we want to achieve harmonious relationships between people, products, and services in our environment. In order to achieve a harmonious relationship between any one of those items and within each category, the right level of relational cohesiveness is necessary. Relational cohesiveness is an important dimension that affects the compositional thread of experience with respect to changes in the environment. If so, which levers control cohesiveness? Which UX factors are important for achieving a harmonious experience? What types of design features help us to have harmonious experiences with products or services?

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Adkins M, Kruse J, Younger R (2002) Ubiquitous computing: omnipresent technology in support of network centric warfare. Paper presented at the System Sciences, 2002. HICSS. Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02), (pp. 551–559). IEEE

    Google Scholar 

  • Alba JW, Chattopadhyay A (1986) Salience effects in brand recall. J Mark Res 23(4):363–369

    Google Scholar 

  • Blau PM (1964). Exchange and power in social life. Transaction Publishers

    Google Scholar 

  • Bootsma RJ, Fernandez L, Mottet D (2004) Behind Fitts’ law: kinematic patterns in goal-directed movements. Int J Hum-Comput Stud 61(6):811–821

    Article  Google Scholar 

  • Burt RS (2001) Structural holes versus network closure as social capital. Social capital: theory and research. 31–56

    Google Scholar 

  • Burt RS (2009) Structural holes: the social structure of competition. Harvard University Press

    Google Scholar 

  • Campbell DJ (1988) Task complexity: a review and analysis. Acad Manage Rev 13(1):40–52

    Google Scholar 

  • Chae M, Kim J (2004) Do size and structure matter to mobile users? An empirical study of the effects of screen size, information structure, and task complexity on user activities with standard web phones. Behav Inf Technol 23(3):165–181

    Article  Google Scholar 

  • Chen Y, Li SX (2009) Group identity and social preferences. Am Econ Rev 99(1):431–457

    Google Scholar 

  • Choi JH, Lee H-J (2012) Facets of simplicity for the smartphone interface: a structural model. Int J Hum-Comput Stud 70(2):129–142

    Article  Google Scholar 

  • Earley PC (1985) Influence of information, choice and task complexity upon goal acceptance, performance, and personal goals. J Appl Psychol 70(3):481–491

    Article  Google Scholar 

  • Ehrenberg A, Barnard N, Scriven J (1997) Differentiation or salience. J Advert Res 37:7–14

    Google Scholar 

  • Estes Z (2003) A tale of two similarities: comparison and integration in conceptual combination. Cognitive Sci 27(6):911–921

    Article  Google Scholar 

  • Falk A, Fischbacher U (2006) A theory of reciprocity. Games Econ Behav 54:293–315

    Article  MATH  MathSciNet  Google Scholar 

  • Few S (2006) Information dashboard design: O’Reilly. pp 120–206

    Google Scholar 

  • Fogg B, Nass C (1997) How users reciprocate to computers: an experiment that demonstrates behavior change. Paper presented at the CHI’97 extended abstracts on Human factors in computing systems

    Google Scholar 

  • Freeman LC (1979) Centrality in social networks conceptual clarification. Soc Netw 1(3):215–239

    Article  Google Scholar 

  • Friedkin NE (1981) The development of structure in random networks: an analysis of the effects of increasing network density on five measures of structure. Soc Netw 3(1):41–52

    Article  Google Scholar 

  • Friedkin NE (2004) Social cohesion. Annu Rev Sociol 30:409–425

    Google Scholar 

  • Gruber A (1969) Top-of-mind awareness and share of families: an observation. J Mark Res 6(2):227–231

    Google Scholar 

  • Hou K-C, Ho C-H (2013) A preliminary study on aesthetic of apps icon design. IASDR 2013, pp. 3845–3856

    Google Scholar 

  • Jones V, Jo JH (2004) Ubiquitous learning environment: an adaptive teaching system ­using ubiquitous technology. Beyond the comfort zone. Proceedings of the 21st ASCILITE Conference(s 468), 474

    Google Scholar 

  • Kephart WM (1950) A quantitative analysis of intragroup relationships. Am J Sociol 55(6):­544–549

    Article  Google Scholar 

  • Kimmerle J, Cress U, Hesse FW (2007) An interactional perspective on group awareness: alleviating the information-exchange dilemma (for everybody?). Int J Hum-Comput Stud 65(11):899–910

    Article  Google Scholar 

  • Kopetz H (2011) Real-time systems: design principles for distributed embedded applications. Springer

    Google Scholar 

  • Kuby MJ, Gray RG (1993) The hub network design problem with stopovers and feeders: the case of Federal Express. Transp Res Part A Policy Pract 27(1):1–12

    Article  Google Scholar 

  • Lynch Jr JG, Srull TK (1982) Memory and attentional factors in consumer choice: concepts and research methods. J Consum Res 9(1):18–37

    Google Scholar 

  • Medin DL, Goldstone RL, Gentner D (1993) Respects for similarity. Psychol Rev 100(2):254

    Article  Google Scholar 

  • Monaghan S (2009) Responsible gambling strategies for Internet gambling: the theoretical and empirical base of using pop-up messages to encourage self-awareness. Comput Hum Behav 25(1):202–207

    Article  Google Scholar 

  • Moody J, White DR (2003) Structural cohesion and embeddedness: a hierarchical concept of ­social groups. Am Sociol Rev 68(1):103–127

    Google Scholar 

  • Nadkarni S, Gupta R (2007) A task-based model of perceived website complexity. MIS Q 31(3):501–524

    Google Scholar 

  • Nass C, Moon Y (2000) Machines and mindlessness: social responses to computers. J Soc Issues 56(1):81–103

    Article  Google Scholar 

  • Navarro DJ, Lee MD (2004) Common and distinctive features in stimulus similarity: a modified version of the contrast model. Psychon Bull Rev 11(6):961–974

    Article  Google Scholar 

  • O’Kelly ME, Miller HJ (1994) The hub network design problem: a review and synthesis. J Transp Geogr 2(1):31–40

    Article  Google Scholar 

  • Opsahl T, Panzarasa P (2009) Clustering in weighted networks. Soc Netw 31(2):155–163

    Article  Google Scholar 

  • Park CW, Milberg S, Lawson R (1991) Evaluation of brand extensions: the role of product feature similarity and brand concept consistency. J Consum Res 18(2):185–193

    Google Scholar 

  • Romaniuk J, Sharp B. (2004) Conceptualizing and measuring brand salience. Mark Theory 4(4):327–342

    Article  Google Scholar 

  • Te’eni D (1989) Determinants and consequences of perceived complexity in human–computer interaction*. Decis Sci 20(1):166–181

    Article  Google Scholar 

  • Thompson DV, Hamilton RW, Rust RT (2005) Feature fatigue: when product capabilities become too much of a good thing. J Mark Res 42(4):431–442

    Article  Google Scholar 

  • Tuch AN, Bargas-Avila JA, Opwis K, Wilhelm FH (2009) Visual complexity of websites: ­effects on users’ experience, physiology, performance, and memory. Int J Hum-Comput Stud 67(9):703–715

    Article  Google Scholar 

  • Vieceli J, Shaw RN (2010) Brand salience for fast-moving consumer goods: an empirically based model. J Mark Manage 26(13–14):1218–1238

    Article  Google Scholar 

  • Wang Q, Chang H (2010) Multitasking bar: prototype and evaluation of introducing the task ­concept into a browser. Paper presented at the Proceedings of the SIGCHI Conference on ­Human Factors in Computing Systems, pp 103–112

    Google Scholar 

  • Wasserman S (1994) Social network analysis: methods and applications, vol 8. Cambridge University Press

    Google Scholar 

  • Whatley MA, Webster JM, Smith RH, Rhodes A (1999) The effect of a favor on public and private compliance: how internalized is the norm of reciprocity? Basic Appl Soc Psychol 21(3):251–259

    Article  Google Scholar 

  • Wood RE (1986) Task complexity: definition of the construct. Organ Behav Hum Decis Processes 37(1):60–82

    Article  Google Scholar 

  • Yamagishi T, Gillmore MR, Cook KS (1988) Network connections and the distribution of power in exchange networks. Am J Sociol 93(4):833–851

    Google Scholar 

  • Yoffie DB (1997) Competing in the age of digital convergence. Harvard Business Press

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jinwoo Kim .

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Kim, J. (2015). Design for Harmonious Experience. In: Design for Experience. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-14304-0_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-14304-0_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14303-3

  • Online ISBN: 978-3-319-14304-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics