Academic Emotions Affected by Robot Eye Color: An Investigation of Manipulability and Individual-Adaptability

Abstract

We investigate whether academic emotions are affected by the color of a robot’s eyes in lecture behaviors. In conventional human-robot interaction research on robot lecturers, the emphasis has been on robots assisting or replacing human lecturers. We expanded these ideas and examined whether robots could lecture using one’s behaviors that are impossible for humans. Psychological research has shown that color affects emotions. Because emotion is strongly related to learning, and a framework of emotion control is required. Thus, we considered whether emotions related to the learner’s academic work, called “academic emotions,” can be controlled by the color of a robot’s illuminated eye light. In this paper, we found that the robot’s eye light color affects academic emotions and that the effect can be manipulated and adapted to individuals. Furthermore, the manipulability of academic emotions by color was confirmed in a situation mimicking a real lecture.

Authors and Affiliations

Kento Koike, Yuya Tsuji, Takahito Tomoto, Daisuke Katagami, Takenori Obo, Yuta Ogai, Junji Sone, Yoshihisa Udagawa

Keywords

Related Articles

On Attack-Relevant Ranking of Network Features

An Intrusion Detection System (IDS) is an important component of the defense-in-depth security mechanism in any computer network system. For assuring timely detection of intrusions from millions of connection records, it...

New Approach for Image Fusion Based on Curvelet Approach

Most of the image fusion work has been limited to monochrome images. Algorithms which utilize human colour perception are attracting the image fusion community with great interest. It is mainly due to the reason that the...

Nearest Neighbor Value Interpolation

 This paper presents the nearest neighbor value (NNV) algorithm for high resolution (H.R.) image interpolation. The difference between the proposed algorithm and conventional nearest neighbor algorithm is that the c...

Big Data Classification Using the SVM Classifiers with the Modified Particle Swarm Optimization and the SVM Ensembles

The problem with development of the support vector machine (SVM) classifiers using modified particle swarm optimization (PSO) algorithm and their ensembles has been considered. Solving this problem would allow fulfilling...

Dynamic Clustering for Information Retrieval from Big Data Depending on Compressed Files

The rapid growth in the database data led to origination a large amount of data. So, it is still a big problem to access this data for answering user queries. In this paper a novel approach for aggregating the required d...

Download PDF file
  • EP ID EP552349
  • DOI 10.14569/IJACSA.2019.0100450
  • Views 96
  • Downloads 0

How To Cite

Kento Koike, Yuya Tsuji, Takahito Tomoto, Daisuke Katagami, Takenori Obo, Yuta Ogai, Junji Sone, Yoshihisa Udagawa (2019). Academic Emotions Affected by Robot Eye Color: An Investigation of Manipulability and Individual-Adaptability. International Journal of Advanced Computer Science & Applications, 10(4), 410-418. https://europub.co.uk/articles/-A-552349