Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Prediction of Rolling Force Based on a Fusion of Extreme Learning Machine and Self Learning Model of Rolling Force Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

A Review of Cognitive Psychology Applied in Robotics

verfasst von : Huang Qin, Tao Yun, Wang Yujin, Wu Changlin, Yu Lianqing

Erschienen in: Advances in Intelligent Systems and Interactive Applications

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The application of robot is expanded unceasingly followed by the development of artificial intelligence, such as household and nursing, education and other services. The human–machine interactive mode changes fundamentally as the relation within them is closer, while emotional interaction is the prevailing trend. And thus there is a need of the guidance of cognitive psychology in robotics. This paper reviews the robotic emotion recognition, and then introduces the cognitive theory applied in robotics, including robot autism intervention, robot education and household service robot.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel The Architecture of the RFID-Based Intelligent Parking System
Nächstes Kapitel Robot Vision Navigation Based on Improved ORB Algorithm
Literatur
1.
Ye, Hao-Sheng: Embodied cognition: a new approach in cognitive psychology. Adv. Psychol. Sci. 18(5), 705–710 (2010)
2.
Anderson, M.L.: Embodied cognition: a field guide. Artif. Intell. 149(1), 91–130 (2003)CrossRef
3.
Glass, A.L., Holyock, K.J.: Cognition, p. 5. Random House, New York (1986)
4.
Mase, K.: Recognition of facial expression for optical flow. IEICE Trans. Spec. Issue Comput. Vision Appl. E74(10): 3474–3483 (1991)
5.
Li, H.-B., Roivainen, P., Forheimer, R.: 3D motion estimation in model based facial Image coding. IEEE Trans. Pattern Anal. Mach. Intell. 15, 545–555 (1993)CrossRef
6.
Terzopoulos, Demetri: Physically-based facial modeling analysis and animation. J. Vis. Comput. Anim. 1(2), 73–80 (1990)CrossRef
7.
Nicholson, J., Takahashi, K., Nakatsu, R.: Emotion recognition in speech using neural networks. Neural Comput. Appl. 9, 290–296 (2000)CrossRefMATH
8.
Park, C.H., Sim, K.B.: Emotion recognition and acoustic analysis from speech signal. In: International Joint Conference on Neural Networks (IJCNN2003), vol. 4, pp. 2594–2598, IEEE, New York (2003)
9.
Sehwartz, G.E., Fair, P.L., Salt, P., et al.: Facial muscle pattening to affective image indepressed and nondepressed subjects. Science 192, 489–491 (1976)CrossRef
10.
Picard, R.W., Vyzas, E., Healey, J.: Towards machine emotional intelligence: analysis of affective physical state. In: IEEE Trans Pattern Analysis and Machine Intelligence, pp. 119–175, IEEE, New York (2001)
11.
Haag, A., Goronzy, S., et al.: Emotion recognition using biosensors: first steps towards automatic system. In: Proceedings of the Kloster Irsee Tutorial and Research Workshop on Affective Dialogue Systems, pp. 36–48, Springer, Germany (2004)
12.
Wagner, J., Kim, J., Andre, E.: From physiological signals to emotions: implementing an comparing selected methods for feature extraction and classification. In: Proceedings of IEEE International Conference on Multimedia and Expo. Paperback, pp. 940–943. IEEE Computer Society Press, Wiley (2005)
13.
Camurri, A., Volpe, G., De Poli, G., et al.: Communicating expressiveness and affect in multimodal interactive systems. IEEE Multimedia 12(1), 43–53 (2005)CrossRef
14.
15.
Ortony, A., Clore, G.L., Colins, A.: The Cognitive Structure of Emotions. Cambridge University Press, Cambridge, UK (1988)CrossRef
16.
Velásquez, J.D.: Modeling emotions and other motivations in synthetic agents. In: Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, Menlo Park (1997)
17.
Breazeal, C.: A motivational system for regulating human-robot interaction. In: Proceedings of the National Conference on Artificial Intelligence, pp. 54–61. Madison, WI (1998)
18.
Kshirsagar, S.: A multilayer personality model. In: SMARTGRAPH’02: Proceedings of the 2nd International Symposium on Smart Graphics, pp. 107–115. New York (2002)
19.
Wang, Z.: Artificial psychology—a most accessible science research to human brain. J. Univ. Offence Technol. Beijing (2000)
20.
Meng, Q., Wu, W., Zhong, Y., et al.: Research and experiment of lip coordination with speech for the humanoid head robot-“H&Frobot-III”. In: Humanoids 2008, Ieee-Ras International Conference on Humanoid Robots, pp. 603–608. IEEE (2008)
21.
Wang, W., Wang, Z., Zheng, S., et al.: Joint attention for a kind of facial expression robots with the same structure. Robot 34(3), 265–274 (2012) (in Chinese)
22.
Tang, W.B., Xian-Xin, K.E., Bai, Y., et al.: Control system design of a facial robot. J. Mach. Des. (2010) (in Chinese)
23.
Klin, A., Jones, W., Schultz, R., et al.: Defining and quantifying the social phenotype in autism. Am. J. Psychiatry 159(6), 895–908 (2002)CrossRef
24.
Zhou, N., Fang, J.: An Experimental study of the characteristics of emotion cognition in autistic children. Psychol. Sci. 3, 25–28 (2003). (in Chinese)
25.
Cabibihan, J.J., Javed, H., Ang, M., et al.: Why robots? A survey on the roles and benefits of social robots in the therapy of children with autism. Int. J. Soc. Rob. 5(4), 593–618 (2013)CrossRef
26.
Tapus, A., Peca, A., Aly, A., et al.: Children with autism social engagement in interaction with Nao, an imitative robot: a series of single case experiments. Interact. Stud. 13(3), 315–347 (2012)CrossRef
27.
Shamsuddin, S., Yussof, H., Ismail, L.I., et al.: Initial response in HRI—a case study on evaluation of child with autism spectrum disorders interacting with a humanoid robot Nao. Procedia Eng. 41(41), 1448–1455 (2012)CrossRef
28.
Nourbakhsh, I., Crowley, K., et al.: The robotic autonomy mobile robotics course: robot design, curriculum design and educational assessment. Auton. Rob. 18(l), 103–127 (2005)
29.
Bers, M., Ponte, I., Juelich, C.: Teachers as designers: integrating robotics in early childhood education. Inf. Technol. Child. Educ. Annu. 14, 123–145 (2002)
30.
Maueh, E.: Using technological innovation to improve the problem solving skills of middle school students. Clearing House 74(4), 211–213 (2001)CrossRef
31.
Cannon, K., Lapoint, M.A., Bird, N., et al.: Using robots to raise interest in technology among underrepresented groups. IEEE Robot. Autom. Mag. 14(2), 73–81 (2007)CrossRef
32.
Meng, Q., Lee, M.H.: Design issues for the elderly. Adv. Eng. Inform. 5(20), 171–186 (2006)CrossRef
33.
Engelberger, J.: Helpmate G, a service robot with experience. Ind. Robot 22(2), 101–104 (1998)CrossRef
34.
Onishi, M., Takagi, K., Luo, Z., et al.: A Soft Human-Interactive Robot RI-MAN. In: IEEE/RSJ International Conference on Intelligent Robots and Systems. p. 1. New York, IEEE (2006)
35.
Hashimoto, K., Saito, F., Yamamoto, T., et al.: A field study of the human support robot in the home environment. In: Advanced Robotics and ITS Social Impacts, pp. 143–150, New York, IEEE (2013)
Metadaten
Titel
A Review of Cognitive Psychology Applied in Robotics
verfasst von
Huang Qin
Tao Yun
Wang Yujin
Wu Changlin
Yu Lianqing
Copyright-Jahr
2018
Buch
Advances in Intelligent Systems and Interactive Applications

Print ISBN: 978-3-319-69095-7

Electronic ISBN: 978-3-319-69096-4

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-69096-4_19