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Abstract
This work presents a comparative analysis of three topics of interest in job design and three databases – Google Scholar, Scopus, and Crossref. The initial comparison is done using metadata indicating similarities and differences in the number of articles, relevance, popularity, trend, and other such factors sthat impact the research, a publication or its authors. These databases are commonly available to researchers. They are referred to here as ‘off-the-shelf’ and were not designed for this analysis. The study is conducted for the job design-related topics, Situation Awareness, Task Analysis and Data Visualization and were taken from the ‘Handbook of Human Factors and Ergonomics, 5th edition. The topics selected are also of interest to researchers specializing in human-computer interaction. Bibliometric and statistical analysis were conducted for the articles using the dataset exported from Harzing’s software. Using Microsoft Excel and Minitab inferences were drawn following analysis. The study checked for overlapping of authors from the chosen articles and the prescribed handbook selections and results were reported. The regression modeling included in analysis extends methodology beyond prior literature that showed metadata comparisons by observation using descriptive statistics. An illustration is shown that demonstrates differences in key articles of interest identified by search. Key articles identified in Scopus had the highest number of citations. In addition to differences that can be seen in numbers of articles and numbers of citations using the metadata from these databases, it should be noted that the articles of interest that may be identified or recognized by scholars with interest in the topic may also be different. From prior research, it was expected that many articles that were found in both Google Scholar and Scopus would have a higher number of citations in Google Scholar. However, articles of interest that were identified in Scopus had more citations in Google Scholar. This was the significant result found when comparing samples with known variance (Z = −157, p < 0.0001). Articles of interest found in Scopus had more citations in Google Scholar than the articles of interest identified in Google Scholar. This suggests researchers should diversify their search among databases when conducting ergonomics and HCI-related literature reviews especially in the early stages of their research. The effort to diversify search can help early career researchers identify more impactful articles.
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References
Berka, C., et al.: EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. Aviat. Space Environ. Med.78(5II), B231–B244 (2007)
Philip Chen, C.L., Zhang, Chun-Yang.: Data-intensive applications, challenges, techniques and technologies: a survey on big data. Inf. Sci.275, 314–347 (2014).https://doi.org/10.1016/j.ins.2014.01.015
(2022).https://search.crossref.org/
Duffy, V.G.: Digital human modeling in design. In: Salvendy, G., Karwowski, W. (eds.) Handbook of Human Factors and Ergonomics, 5th edn., pp. 761–781. Wiley, Hoboken (2021)
Edgar, G.K., et al.: Quantitative Analysis of Situation Awareness (QASA) modelling and measuring situation awareness using signal detection theory. Ergonomics61(6), 762–777 (2018)
Endsley, M.R.: Toward a theory of situation awareness in dynamic systems. Hum. Factors37(1), 32–64 (1995)
Endsley, M R., Selcon, S.J., Hardiman, T.D., Croft, D.G.: A comparative analysis of SAGAT and SART for evaluations of situation awareness In: Proceedings of the human factors and ergonomics society annual meeting, vol. 42(1), pp. 82–86. SAGE Publications, Los Angeles (1998)
Endsley, M.: Situation awareness. In: Salvendy, G., Karwowski, W. (eds.) Handbook of Human Factors and Ergonomics, 5th edn., pp. 434–455. Wiley, Hoboken (2021)
Geist, A.M., Zavala, A.: Component-total task relationships - simple and sequential practice effects (component total task relationships, analyzing simple and sequential practice effects with aid of melton complex coordinator). Hum. Factors10, 333–343 (1968)
Google nGram (2022).https://books.google.com/ngrams
Google Scholar (2022).https://scholar.google.com/
Gorrochategui, E., Jaumot, J., Lacorte, S., Tauler, R.: Data analysis strategies for targeted and untargeted LC-MS metabolomics studies: overview and workflow. TrAC Trends Anal. Chem.82, 425–442 (2016)
Gutwin, C., Greenberg, S.: A descriptive framework of workspace awareness for real-time groupware. Comput. Support. Coop. Work (CSCW)11(3), 411–446 (2002).https://doi.org/10.1023/A:1021271517844
Harzing, A.-W., Alakangas, S.: Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison. Scientometrics106(2), 787–804 (2016).https://doi.org/10.1007/s11192-015-1798-9
Hollnagel, E.: The changing nature of task analysis. In: Salvendy, G., Karwowski, W. (eds.) Handbook of Human Factors and Ergonomics, 5th edn., pp. 358–367. Wiley, Hoboken (2021)
Kastens, K.A., Zrada, M., Turrin, M.: What kinds of questions do students ask while exploring data visualizations? J. Geosci. Educ.68(3), 199–219 (2020)
Kempf, R.P.: The collection and analysis of human factors data in task analysis (06, 1970)
Matthews, G., Reinerman-Jones, L.E., Barber, D.J., Abich, J.: The psychometrics of mental workload: multiple measures are sensitive but divergent. Hum. Factors57(1), 125–143 (2015).https://doi.org/10.1177/0018720814539505
Matzen, L.E., Haass, M.J., Divis, K.M., Wang, Z., Wilson, A.T.: Data visualization saliency model: a tool for evaluating abstract data visualizations. IEEE Trans. Visual Comput. Graphics24(1), 563–573 (2017)
Militello, L.G., Hutton, R.J.B.: Applied cognitive task analysis (ACTA): a practitioner’s toolkit for understanding cognitive task demands. Ergonomics41(11), 1618–1641 (1998)
Montgomery, D., George, C.R.: Hypothesis Testing on the Difference in Means in Applied Statistics and Probability for Engineers, 7th edn., p. 247. Wiley, Hoboken (2018)
Mudur, S.P., Pattanaik, S.N.: Multidimensional illumination functions for visualization of complex 3D environments. J. Vis. Comput. Animat.1(2), 49–58 (1990)
Pattanaik, S.N., Paul Wiegand, R.: Data visualization. In: Salvendy, G., Karwowski, W. (eds.) Handbook of Human Factors and Ergonomics, pp. 893–946. Wiley (2021)
Scopus (2022).https://www.elsevier.com/solutions/scopus
Schulz, C.M., Endsley, M.R., Kochs, E.F., Gelb, A.W., Wagner, K.J.: Situation awareness in anesthesia: concept and research. J. Am. Soc. Anesthesiologists118(3), 729–742 (2013)
Van der Maaten, L., Hinton, G.: Visualizing data using t-SNE. J Mach Learn Res9(11), 2579–2605 (2008)
Wei, J., Salvendy, G.: The cognitive task analysis methods for job and task design: review and reappraisal. Behav. Inf. Technol.23(4), 273–299 (2004)
Wickens, C.D.: Situation awareness: review of Mica Endsley’s 1995 articles on situation awareness theory and measurement. Hum. Factors50(3), 397 (2008)
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Purdue University, West Lafayette, IN, 47907, USA
Leena Naidu, Rachita Naidu, Sandeep Krishna Ramachandran & Vincent G. Duffy
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- Vincent G. Duffy
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Naidu, L., Naidu, R., Ramachandran, S.K., Duffy, V.G. (2022). Exploring Off-the-Shelf Data in Job Design: A Comparison of Metadata in Situation Awareness, Task Analysis and Data Visualization. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Health, Operations Management, and Design. HCII 2022. Lecture Notes in Computer Science, vol 13320. Springer, Cham. https://doi.org/10.1007/978-3-031-06018-2_16
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