İnsan Robot Etkileşimi Konusunu Kelime Bulutu Analizi İle Kavramsallaştırma

Year 2019, Volume: 3 Issue: 2, 221 - 239, 31.12.2019

Esra Taşbaş Ustaoğlu

https://doi.org/10.35342/econder.650005

Cited By: 2

Abstract

Keywords

: İnsan Robot Etkileşimi, Yapay Zekâ Uygulamaları, Robotik, Robot, Görsel Veri Analizi, Kelime Bulutu Analizi.

Conceptualization of Human Robot Interaction Through Word Cloud Analysis

Abstract

Human robot interaction is a topic that contributes to the literature
on models, applications and methods in scientific research. Although the
guidelines provided for the design of robotic systems have criteria for the
design of mechanical control, in the literature, guiding studies on the
interaction of these systems with humans are not commonly encountered. Feedback
on human robot interaction often consists of experimental results in a limited
space.

Within the scope of the study; In order to present the distribution of
subjects related to human robot interaction with visual data analysis,
literature searches were conducted through the university library and
publications with keyword “human robot interaction” were accessed and the
distribution of the publications were obtained by subject. Word cloud analysis
was applied to the subjects via wordle software. As a result of the analysis,
it is seen that different research fields and science disciplines come into
prominence according to the multidisciplinary nature of human robot
interaction.

Keywords

Human Robot Interaction, Artificial Intelligence, Applications, Robotics, Robot, Visual Data Analysis

References

• Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). A survey on sensor networks. IEEE Communications magazine, 40(8), 102-114.
• De Santis, A., Siciliano, B., De Luca, A., & Bicchi, A. (2008). An atlas of physical human–robot interaction. Mechanism and Machine Theory, 43(3), 253-270.
• DiSalvo, C. F., Gemperle, F., Forlizzi, J., & Kiesler, S. (2002, June). All robots are not created equal: the design and perception of humanoid robot heads. In Proceedings of the 4th conference on Designing interactive systems: processes, practices, methods, and techniques (pp. 321-326). ACM.
• Goodrich, M. A., & Olsen, D. R. (2003, October). Seven principles of efficient human robot interaction. In SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme-System Security and Assurance (Cat. No. 03CH37483) (Vol. 4, pp. 3942-3948). IEEE.
• Feinberg, J. (2014). Wordle.
• Fronza, I., Janes, A., Sillitti, A., Succi, G., & Trebeschi, S. (2013, May). Cooperation wordle using pre-attentive processing techniques. In 2013 6th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE) (pp. 57-64). IEEE.
• Haddadin, S., Albu-Schäffer, A., & Hirzinger, G. (2007, June). Safety Evaluation of Physical Human-Robot Interaction via Crash-Testing. In Robotics: Science and Systems (Vol. 3, pp. 217-224).
• Hancock, P. A., Billings, D. R., Schaefer, K. E., Chen, J. Y., De Visser, E. J., & Parasuraman, R. (2011). A meta-analysis of factors affecting trust in human-robot interaction. Human factors, 53(5), 517-527.
• Hoffmann, F. (2003, June). An overview on soft computing in behavior based robotics. In International Fuzzy Systems Association World Congress (pp. 544-551). Springer, Berlin, Heidelberg.
• Huber, M., Rickert, M., Knoll, A., Brandt, T., & Glasauer, S. (2008, August). Human-robot interaction in handing-over tasks. In RO-MAN 2008-The 17th IEEE International Symposium on Robot and Human Interactive Communication (pp. 107-112). IEEE.
• Kanda, T., Ishiguro, H., & Ishida, T. (2001, May). Psychological analysis on human-robot interaction. In Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No. 01CH37164) (Vol. 4, pp. 4166-4173). IEEE.
• Koenig, N., & Howard, A. (2004, September). Design and use paradigms for gazebo, an open-source multi-robot simulator. In 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)(IEEE Cat. No. 04CH37566) (Vol. 3, pp. 2149-2154). IEEE.
• Lee, B., Kim, B., & Seo, J. (2010). Maniwordle: Providing flexible control over wordle. IEEE Transactions on Visualization and Computer Graphics, 16(6), 1190-1197.
• Kosuge, K., & Hirata, Y. (2004, August). Human-robot interaction. In 2004 IEEE International Conference on Robotics and Biomimetics (pp. 8-11). IEEE.
• Kulić, D., & Croft, E. A. (2006). Real-time safety for human–robot interaction. Robotics and Autonomous Systems, 54(1), 1-12.
• McNaught, C., & Lam, P. (2010). Using Wordle as a supplementary research tool. The qualitative report, 15(3), 630-643.
• Morsünbül, Ü. (2018). Robotlarla Bağlanma ve Cinsellik: Ruh Sağlığı Bakış Açısından Bir Değerlendirme. Psikiyatride Güncel Yaklaşımlar, 10(4), 427-439.
• Nomura, T., Kanda, T., Suzuki, T., & Kato, K. (2008). Prediction of human behavior in human--robot interaction using psychological scales for anxiety and negative attitudes toward robots. IEEE transactions on robotics, 24(2), 442-451.
• Rich, C., Ponsler, B., Holroyd, A., & Sidner, C. L. (2010, March). Recognizing engagement in human-robot interaction. In 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (pp. 375-382). IEEE.
• Sheridan, T. B. (2016). Human–robot interaction: status and challenges. Human factors, 58(4), 525-532.
• Şabanoviç, A., & Yannier, S. (2003). Robotlar: Sosyal etkileşimli makineler. TÜBİTAK Bilim Teknik Dergisi.
• Ustaoğlu, E.T., & Akyol, E.M. (2018). Endüstri 4.0 Çalışmalarının Yerli Ve Yabancı Yazın Açısından Karşılaştırmalı Olarak Değerlendirilmesi: Betimsel Bir Araştırma. Yönetim Ve Ekonomi Araştırmaları Dergisi, 16(4), 444-453.
• Viegas, F. B., Wattenberg, M., & Feinberg, J. (2009). Participatory visualization with wordle. IEEE transactions on visualization and computer graphics, 15(6), 1137-1144.
• Wang, Y., Chu, X., Bao, C., Zhu, L., Deussen, O., Chen, B., & Sedlmair, M. (2017). Edwordle: Consistency-preserving word cloud editing. IEEE transactions on visualization and computer graphics, 24(1), 647-656.
• Williams, W., Parkes, E. L., & Davies, P. (2013). Wordle: A method for analysing MBA student induction experience. The International Journal of Management Education, 11(1), 44-53.
• Wright, C., Johnson, A., Peck, A., McCord, Z., Naaktgeboren, A., Gianfortoni, P., ... & Choset, H. (2007, October). Design of a modular snake robot. In 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 2609-2614). IEEE.
• Yanco, H. A., & Drury, J. (2004, October). Classifying human-robot interaction: an updated taxonomy. In 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No. 04CH37583) (Vol. 3, pp. 2841-2846). IEEE.
• Yıldız, D. (2015). Ortaokul yedinci sınıf ingilizce dersinde okuma öncesi etkinliklerde sözcük bulutu kullanımının kelime öğrenmeye etkisi (Master's thesis, Afyon Kocatepe Üniversitesi, Sosyal Bilimler Enstitüsü).
• Young, J. E., Sung, J., Voida, A., Sharlin, E., Igarashi, T., Christensen, H. I., & Grinter, R. E. (2011). Evaluating human-robot interaction. International Journal of Social Robotics, 3(1), 53-67.