Abstract
Human-computer interaction is a diverse field covering disciplines such as computer technology, human factors, and cognitive science to name a few. Over the past several years, the information age has developed to incorporate a society that intentionally and unintentionally interacts with computing technology every day. The field of computational thinking in human-computer interaction is expanding and incorporating multidisciplinary fields such as psychology and software principles. Research has been conducted in the past regarding the background, social impact and innovation, and a new direction in social computing/ issues in HCI. HCI is a diverse, expansive field covering many aspects and disciplines in computer science, the humanities, and others. Computational thinking, a subfield of HCI, explores the way humans process problems, and use problem-solving skills and analogies to solve complex, or seemingly difficult problems (Wing 2006). This research project will be conducted to understand computational thinking in people, along with determining the existing relationship between cognitive science and HCI.
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References
Boring, R.L.: Human-computer interaction as cognitive science. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 46, no. 21, 1767–1771 (2002). http://journals.sagepub.com/doi/https://doi.org/10.1177/154193120204602103
Butler, K.A., Jacob, R.J.K., John, B.E.: Human-computer interaction: introduction and overview. In: CHI 98 Conference Summary on Human Factors in Computing Systems, pp. 105–106 (1998). https://dl.acm.org/doi/https://doi.org/10.1145/286498.286556
Cairns, P., Adams, A., Lunt, P.: A qualitative approach to HCI research. Res. Meth. Hum.-Comput. Interact. 138–139, 152–153 (2008)
Carroll, J.M.: Human-computer interaction: psychology as a science of design. Annu. Rev. Psychol. 46, 62–64 (1997). https://doi.org/10.1146/annurev.psych.48.1.61
Carroll, J.M., Long, J., Brooks, R.: Comparative task analysis: An alternative direction for human-computer interaction science. Design. Interact. Psychol. Hum.-Comput. Interf. 50–52 (1991)
Friedenberg, J., Silverman, G.: Introduction: exploring inner space; artificial intelligence II: operational perspective, robotics: The ultimate intelligent agents, conclusion: where we go from here. Cogn. Sci. Introduction Study Mind 10, 356 (2006)
Lardinois, F.: Microsoft uses GPT-3 to let you code in natural language. TechCrunch.com (2021). https://techcrunch.com/2021/05/25/microsoft-uses-gpt-3-to-let-you-code-in-natural-language/
Lister, R.: On the cognitive development of the novice programmer and the development of a computing education researcher. In: 9th Computer Science Education Research Conference (CSERC 2020), pp. 1–15 (2020)
McCarthy, J., Wright, P.: Putting felt-life at the centre of human–computer interaction (HCI). Cogn. Technol. Work, 7(1), 262–263, 265–267 (2005). https://doi-org.eres.library.manoa.hawaii.edu/https://doi.org/10.1007/s10111-005-0011-y
Oren, M.: Human-Computer Interaction and Sociological Insight: A Theoretical Examination and Experiment in Building Affinity in Small Groups. Graduate Theses and Dissertations, pp. 153–157 (2011). https://doi.org/10.31274/etd-180810-1365
Sharafi, Z., Sharif, B., Gueheneuc, Y., Begel, A., Bednarik, R., Crosby, M.: A practical guide on conducting eye tracking studies in software engineering. Empirical Softw. Eng. 25(5), 3128-3174 (2021)
Siegmund, J., et al.: Measuring neural efficiency of program comprehension. In: Proceedings of 2017 11th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering, Paderborn, Germany, 4–8 September 2017 (ESEC/FSE 2017), vol. 11 (2017). https://doi.org/10.1145/3106237.3106268
Stephanidis, C.: User interfaces for all: new perspectives into human-computer interaction. Hum. Factors Ergon. 1, 3-17 (2001). http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.98.4790&rep=rep1&type=pdf
Stephanidis, C., et al.: Seven HCI grand challenges. Int. J. Hum.-Comput. Interact. 35(14), 1229–1230 (2019). https://doi.org/10.1080/10447318.2019.1619259
Wing, J.M.: Computational thinking. Commun. ACM, 49(3), 33–35 (2006). http://www.cs.cmu.edu/~./15110-s13/Wing06-ct.pdf
Xiong, A., Proctor, R.W.: Information processing: the language and analytical tools for cognitive psychology in the information age. Front. Psychol. 9(1), 1–2 (2018). https://doi.org/10.3389/fpsyg.2018.01270
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This material is based upon work supported by the National Science Foundation (NSF) under Grant No. 1662487. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.
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Datwani, K., Ogawa, MB.C., Crosby, M.E. (2022). Understanding Humans’ Cognitive Processes During Computational Thinking Through Cognitive Science. In: Schmorrow, D.D., Fidopiastis, C.M. (eds) Augmented Cognition. HCII 2022. Lecture Notes in Computer Science(), vol 13310. Springer, Cham. https://doi.org/10.1007/978-3-031-05457-0_20
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