Abstract
Measurement is foundational to learn, research, and design an artificial system. Precisely measuring human factors especially human mind in systems is a common and important problem. Basically, the measurement methods are categorized as either objective or subjective measurement. Recently, tendency is emerging that objective measurement is preferred widely but subjective measurement is despised. To judge the tendency, this paper revisited the basic concept of measurement first, and re-declared the definition of objective and subjective measurement. Tools of measurement were also discussed generally. Second, four criterions were proposed to judge a measurement, and a review of the debate between the two measurements shows that subjective measurement is the counterparts of objective measurement. Choice of one from the two depends on specific applications. This paper further discussed the application of subjective measurement. Three challenges were proposed which are still open to address. In conclusion, further researches on subjective measurement is indispensable.
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Notes
- 1.
Passive role refers to the role of collecting data, but active role refers to cognitive actives such as decision making, inferencing and predicting. Sometimes, passive role can be replaced by a machine.
References
Ellis, B.: Basic concepts of measurement. Phys. Today 23(3), 89–89 (1970)
Allen, M.J., Yen, W.M.: Introduction to Measurement Theory. Waveland Press, Long Grove (2001)
Finkelstein, L.: Fundamental concepts of measurement. Measurement 34(1), 1–2 (2014)
Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)
Rothstein, J.M.: Objective versus subjective: kudzu terminology. Physiother. Can. 60(2), 103–105 (2008)
Rothstein, J.M.: On defining subjective and objective measurements. . Phys. Ther. 69(7), 577–579 (1989)
Diener, E., Eunkook, S.: Measuring quality of life: economic, social, and subjective indicators. Soc. Indic. Res. 40(1–2), 189–216 (1997)
Granovskii, V.A.: Measurement as cognitive and applied problem. In: Journal of Physics: Conference Series, vol. 459, no. 1, IOP Publishing (2013)
Zhang, W.J.: An Integrated Environment for CADCAM of Mechanical Systems. Ph.D. thesis, Delft University of Technology, The Netherlands (1994)
Kerlinger, F.N.: Foundations of Behavioral Research: Educational, Psychological, and Sociological Inquiry , 2nd edn. Holt, Rinehart & Winston General Book, New York (1973)
Sirohi, R.S., Krishna, H.C.R.: Mechanical Measurements, 2nd edn. John Wiley and Sons, New York (1983)
Muckler, F.A., Seven, S.A.: Selecting performance measures: “objective” versus “subjective” measurement. Hum. Factors 34(4), 441–455 (1992)
Jahedi, S., Méndez, F.: On the advantages and disadvantages of subjective measures. J. Econ. Behav. Organ. 98(C), 97–114 (2014)
Preedy, V.R., Watson, R.R.: Likert scale. In: Handbook of Disease Burdens and Quality of Life Measures, pp. 4248–4248. Springer, New York (2010).
Dalkey, N., Helmer, O.: An experimental application of the DELPHI method to the use of experts. Manag. Sci. 9(3), 458–467 (1963)
Roberts Maxwell, J., Gray, H., Lesnik, J.: Preference versus performance: investigating the dissociation between objective measures and subjective ratings of usability for schematic metro maps and intuitive theories of design. Int. J. Hum.-Comput. Stud. 98, 109–128 (2017)
Banerjee, A., Hanna, R., Mullainathan, S.: “Corruption” NBER Working Paper 17968 (2012)
Jennings, D.F., Young, D.M.: An empirical comparison between objective and subjective measures of the product innovation domain of corporate entrepreneurship. Entrepreneurship Theory Pract. 15(1), 53–66 (1990)
Kompier, M.: Assessing the psychosocial work environment—“subjective” versus “objective” measurement. Scand. J. Work Environ. Health 31(6), 405–408 (2005)
Solomon, Z., Mikulincer, M., Hobfoll, S.E.: Objective versus subjective measurement of stress and social support: combat-related reactions. J. Consult. Clin. Psychol. 55(4), 577 (1987)
Altabol, A., Lin, Y.: Objective and subjective measures of visual aesthetics of interface design: the two sides of the coin. In: HCI International 2011, Orlando, USA, 9–14 July 2011 (2011)
Modi, S., Lin, Y., Cheng, L.: A socially inspired framework for human state inference using expert opinion integration. IEEE/ASME Trans. Mechatron. 16(5), 874–878 (2011)
Babiloni, F., Rossi, D., Cherubino, P., Trettel, A.: A Neuroaesthetic study of the cerebral perception and appreciation of paintings by titian using EEG and eyetracker measurements. In: International Workshop on Symbiotic Interaction Springer International Publishing (2015)
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Cai, M., Gao, Z., Zhang, W. (2021). A Revisit of Objective Measurement and Subjective Measurement: Basic Concept and Application. In: Karwowski, W., Ahram, T., Etinger, D., Tanković, N., Taiar, R. (eds) Human Systems Engineering and Design III. IHSED 2020. Advances in Intelligent Systems and Computing, vol 1269. Springer, Cham. https://doi.org/10.1007/978-3-030-58282-1_21
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