Abstract
Nowadays, many robots are involved in human daily life with the intention that they can assist humans in various tasks. Therefore, humans and robot interaction is crucial. However, currently robots are only able to communicate with humans due to physical interaction without any emotion or feeling. In this day and age, robots without emotions are similar to decision makers without passion. So, robots should be provided with the capability to feel the surface of any objects that they are holding. In order to develop robots that can feel or robots that have emotions like humans do, it is important for us to first study human emotions in conjunction with roughness, vibration or even temperature. It is believed that the findings are able to be used as a guidance in robot development. This paper is focusing on the roughness factor. A series of experiment where the kansei survey method was conducted and applied that required a number of participants to touch some surfaces and answer those questions in the survey based on what they feel about having interaction with the surfaces. This paper describes the results of these findings of how humans feel against touching surfaces.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Evans, D.: Emotion: The Science of Sentiment. Oxford University Press, (2001). https://www.ald.softbankrobotics.com/en/robots/pepper
Cakmak, M., Chao, C., and Thomas, A.L.: Designing Interactions for Robot Active Learners. IEEE Transactions on Autonomous Mental Development 2(2), 108-118, (2010).
Dillow, C.: Meet Diego-San, The Humanoid Toddler. Popular Science (2013).
Hashimoto, M., Yamano, M., and Usui, T.: Effects of Emotional Synchronization in Human-Robot KANSEI Communications. In: Proceedings of IEEE International Workshop on Robot and Human Interactive Communication, pp. 52–57 (2009).
Yohanan S. and Maclean K.E.: The Haptic Creature Project: Social Human-Robot Interaction through Affective Touch. In: Proceedings of Conference on Human Factors in Computing Systems, pp. 1-5 (2009).
Nicholls, H.R. and Lee, M.H.: A Survey of Robot Tactile Sensing Technology. The International Journal of Robotics Research 8(3), 3-30 (1989).
Engel, J., Chen, J., Fan, Z., and Liu, C.: Polymer Micromachined Multimodal Tactile Sensors. Sensors and Actuators A 117, 50–61 (2004).
Pasca, C., Payeur, P., Petriu, E.M, Cretu, A-M.: Intelligent Haptic Sensor System for Robotic Manipulation. In: Proceedings of IEEE Conference on Instrumentation Measurement Technology, pp. 279-284 (2004).
Sofge. E.: The Sensitive Robot: How Haptic Technology is Closing the Mechanical Gap. (2013) http://www.slate.com/articles/business/t_rowe_price_haptics/2013/03/
Wolf, K.: Measuring facial expression of emotion. Dialogues in Clinical Neuroscience, 17(4), 457-462 (2015).
Wortman, B.C., Loftus, E.F., and Weaver, C.: Psychology. McGraw-Hill, 5th edition (1998).
Jafar, FA, Abdullah, N, Muhammad, MN, Zakaria, NA, and Mokhtar, MNA: Investigation of Human Emotional State in Human-Robot Collaboration. Journal of Computer, 9(3), 668-677 (2014).
Rashid, SA, and Jafar, FA: Preliminary Investigation on Human Haptic Emotion for Robot Sensing Application. Advance Science Letters, 23(6), 5078-5081 (2017).
Kobayashi, M. and Kinumura, T.: A Method of Gathering, Selecting and Hierarchizing Kansei Words for a Hierarchized Kansei Model. Journal of Computer-Aided Design and Applications 14(4), 464-471 (2017).
Nagamachi, M.: Kansei Engineering,.Tokyo: Kaibundo Publisher, (1993).
Nagamachi M. and Lokman, A.: Innovations of Kansei Engineering. Boca Raton: CRC Press, Taylor & Francis Group, (2011).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Jafar, F.A., Rosli, N.A., Rashid, S.A., Ali, M.M., Shamsuddin, S., Kassim, A.M. (2018). Towards the Development of Kansei Haptic Sensing Technology for Robot Application – Exploring Human Haptic Emotion. In: Lokman, A., Yamanaka, T., Lévy, P., Chen, K., Koyama, S. (eds) Proceedings of the 7th International Conference on Kansei Engineering and Emotion Research 2018. KEER 2018. Advances in Intelligent Systems and Computing, vol 739. Springer, Singapore. https://doi.org/10.1007/978-981-10-8612-0_65
Download citation
DOI: https://doi.org/10.1007/978-981-10-8612-0_65
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-8611-3
Online ISBN: 978-981-10-8612-0
eBook Packages: EngineeringEngineering (R0)