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:
Buchtitelbild

2012 | OriginalPaper | Buchkapitel

5. Psychological Experiments in Haptic Collaboration Research

verfasst von : Raphaela Groten, Daniela Feth, Angelika Peer, Martin Buss

Erschienen in: Immersive Multimodal Interactive Presence

Verlag: Springer London

Einloggen

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

search-config
loading …

Abstract

This chapter discusses the role of psychological experiments when designing artificial partners for haptic collaboration tasks, such as joint object manipulation. After an introduction, which motivates this line of research and provides according definitions, the first part of this chapter presents theoretical considerations on psychological experiments in the general design process of interactive artificial partners. Furthermore, challenges related to the specific research interest in haptic collaboration are introduced. Next, two concrete examples of psychological experiments are given: (a) A study where we examine whether dominance behavior depends on the interacting partner. The obtained results are discussed in relation to design guidelines for artificial partners. (b) An experiment which focuses on the evaluation of different configurations of the implemented artificial partner. Again the focus is on experimental challenges, especially measurements. In the conclusion the two roles of experiments in the design process of artificial partners for haptic tasks are contrasted.

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
Fußnoten
1
Mental models are an internal representations of the external world, including the collaborating partner. Mental models allow to explain and predict a system state and to recognize the relationship between system components and events [25]. Recently mental models receive increasing attention in interaction design processes [20, 26, 27].
 
2
For a general overview on experimental design and statistical analysis please refer to [17, 48‐55].
 
Literatur
1.
Hoffman, G., Breazeal, C.: Robots that work in collaboration with people. In: AAAI Fall Symposium on the Intersection of Cognitive Science and Robotics (2004)
2.
Bratman, M.: Shared cooperative activity. Philos. Rev. 101(2), 327–341 (1992) CrossRef
3.
Grosz, B., Sidner, C.: Plans for discourse. In: Intentions in Communications, pp. 417–444. MIT Press, Cambridge (1990)
4.
Kanno, T., Nakata, K., Furuta, K.: A method for team intention inference. Int. J. Hum.-Comput. Stud. 58, 394–413 (2003) CrossRef
5.
Johannsen, G., Averbukh, E.A.: Human performance models in control. In: Proceedings of International Conference on Systems, Man and Cybernetics, 1993. Systems Engineering in the Service of Humans (1993)
6.
Grosz, B.: Collaborative systems. AI Mag. 17, 67–85 (1996)
7.
Tomasello, M., Carpenter, M., Call, J., Behne, T., Moll, H.: Understanding and sharing intentions: The origins of cultural cognition. Behav. Brain Sci. 28, 675–735 (2005)
8.
Meulenbroek, R., Bosga, J., Hulstijn, M., Miedl, S.: Joint-action coordination in transferring objects. Exp. Brain Res. 180(2), 333–343 (2007) CrossRef
9.
Schubö, A., Vesper, C., Wiesbeck, M., Stork, S.: Movement coordination in applied human-human and human-robot interaction. In: HCI and Usability for Medicine and Health Care, pp. 143–154. Springer, Berlin (2007) CrossRef
10.
Sebanz, N., Bekkering, H., Knoblich, G.: Joint action—Bodies and minds moving together. Trends Cogn. Sci. 10(2), 70–76 (2003) CrossRef
11.
Welsh, T.: When 1+1=1: The unification of independent actors revealed through joint Simon effects in crossed and uncrossed effector conditions. Hum. Mov. Sci. 28(6), 726–737 (2009) MathSciNetCrossRef
12.
Nudehi, S., Mukherjee, R., Ghodoussi, M.: A shared-control approach to haptic interface design for minimally invasive telesurgical training. IEEE Trans. Control Syst. Technol. 13, 588–592 (2005) CrossRef
13.
Esen, H., Sachsenhauser, A., Yano, K., Buss, M.: A multi-user virtual training system concept and objective assessment of trainings. In: The 16th IEEE International Symposium on Robot and Human Interactive Communication (Ro-Man) (2007)
14.
Bettini, A., Marayong, P., Lang, S., Okamura, A., Hager, G.: Vision-assisted control for manipulation using virtual fixtures. IEEE Trans. Robot. 20(6), 953–966 (2004) CrossRef
15.
Kragic, D., Marayong, P., Li, M., Okamura, A., Hager, G.: Human-machine collaborative systems for microsurgical applications. Int. J. Robot. Res. 24(9), 731–741 (2005) CrossRef
16.
Butler-Bowdom, T.: 50 Psychology Classics: Who We Are, How We Think, What We Do; Insight and Inspiration from 50 Key Books. Nicholas Brealey, London (2006)
17.
Shaughnessy, J.: Research Methods in Psychology, 8th edn. Mcgraw-Hill College, Boston (2008)
18.
Wundt, W.: Grundzüge der physiologischen Psychologie (Principles of Physiological Psychology). VDM Verlag Dr. Müller, Saarbrücken (1874), Auflage von 2007
19.
Butler, J., Holden, K., Lidwell, W.: Universal Principles of Design: 100 Ways to Enhance Usability, Influence Perception, Increase Appeal, Make Better Design Decisions, and Teach Through Design. Rockport, Gloucester (2007)
20.
Sharp, H., Rogers, Y., Preece, J.: Interaction Design: Beyond Human-Computer Interaction. Wiley, New York (2007)
21.
Rahman, M., Ikeura, R., Mizutani, K.: Cooperation characteristics of two humans in moving an object. Mach. Intell. Robot. Control 2(4), 43–48 (2002)
22.
Reed, K., Peshkin, M., Hartmann, M., Patton, J., Vishton, P., Grabowecky, M.: Haptic cooperation between people, and between people and machines. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2006)
23.
Corteville, B., Aertbelien, E., Bruyninckx, H., De Schutter, J., Van Brussel, H.: Human-inspired robot assistant for fast point-to-point movements. In: IEEE International Conference on Robotics and Automation (2007)
24.
Evrard, P., Kheddar, A.: Homotopy switching model for dyad haptic interaction in physical collaborative tasks. In: Proc. of the Third Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, pp. 45–50 (2009) CrossRef
25.
Wilson, J., Rutherford, A.: Mental models: Theory and application in human factors. Hum. Factors 31(6), 617–663 (1989)
26.
Cooper, A., Reitman, R., Cronin, D.: About Face 3: The Essentials of Interaction Design. Wiley, New York (2007)
27.
Galitz: The Essential Guide to User Interface Design: An Introduction to GUI Design Principles and Techniques. Wiley, New York (2007)
28.
Wolpert, D., Doya, K., Kawato, M.: A unifying computational framework for motor control and social interaction. Philos. Trans. R. Soc. Lond. B, Biol. Sci. 358(1431), 593–602 (2003) CrossRef
29.
Reed, K.B., Peshkin, M.: Physical collaboration of human-human and human-robot teams. IEEE Trans. Haptics 1, 108–120 (2008) CrossRef
30.
Feth, D., Tran, B., Groten, R., Peer, A., Buss, M.: Shared-control paradigms in multi-operator-single-robot teleoperation. In: Cognitive Systems Monographs, pp. 53–62. Springer, Berlin (2009)
31.
Basdogan, C., Ho, C.H., Srinivasan, M.: An experimental study on the role of touch in shared virtual environments. ACM Trans. Comput.-Hum. Interact. 7, 443–460 (2000) CrossRef
32.
Sallnäs, E.L., Rassmus-Gröhn, K., Sjöström, C.: Supporting presence in collaborative environments by haptic force feedback. ACM Trans. Comput.-Hum. Interact. 7(4), 461–476 (2000) CrossRef
33.
Schauss, T., Groten, R., Peer, A., Buss, M.: Evaluation of a coordinating controller for improved task performance in multi-user teleoperation. In: Haptics: Generating and Perceiving Tangible Sensations. Lecture Notes in Computer Science, vol. 6191, pp. 240–247 (2010) CrossRef
34.
Sallnäs, E.L.: Improved precision in mediated collaborative manipulation of objects by haptic force feedback. In: Proceedings of the First International Workshop on Haptic Human-Computer Interaction (2001)
35.
Groten, R., Feth, D., Klatzky, R., Peer, A., Buss, M.: Efficiency analysis in a collaborative task with reciprocal haptic feedback. In: The 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (2009)
36.
Groten, R., Feth, D., Peer, A., Buss, M.: Shared decision making in a collaborative task with reciprocal haptic feedback—an efficiency-analysis. In: IEEE International Conference on Robotics and Automation (2010)
37.
Feth, D., Groten, R., Peer, A., Hirche, S., Buss, M.: Performance related energy exchange in haptic human-human interaction in a shared virtual object manipulation task. In: Third Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2009)
38.
Pan, P., Lynch, K., Peshkin, M., Colgate, J.E.: Human interaction with passive assistive robots. In: IEEE 9th International Conference on Rehabilitation Robotics (2005)
39.
Schroeder, R., Steed, A., Axelsson, A.S., Heldal, I., Abelin, A., Wideström, J., Nilsson, A., Slater, M.: Collaborating in networked immersive spaces: as good as being there together? Comput. Graph. 25(5), 781–788 (2001) CrossRef
40.
Kashy, D., Snyder, D.: Measurement and data analytic issues in couples research. Psychol. Assess. 7(3), 338–348 (1995) CrossRef
41.
Griffin, D., Gonzalez, R.: Correlational analysis of dyad-level data in the exchangeable case. Psychol. Bull. 118, 430–439 (1995) CrossRef
42.
Kenny, D.: The design and analysis of social-interaction research. Annu. Rev. Psychol. 47, 59–86 (1996) CrossRef
43.
Maguire, M.C.: Treating the dyad as the unit of analysis: A primer on three analytic approaches. J. Marriage Fam. 61(1), 213–223 (1999) CrossRef
44.
Kenny, D., Mohr, C., Levesque, M.: A social relations variance partitioning of dyadic behavior. Psychol. Bull. 127(1), 128–141 (2001) CrossRef
45.
46.
Griffin, D., Gonzalez, R.: Models of dyadic social interaction. Philos. Trans. R. Soc. Lond. B, Biol. Sci. 358(1431), 573–581 (2003) CrossRef
47.
Kenny, D., Kashy, D., Cook, W.: Dyadic Data Analysis. The Guilford Press, New York (2006)
48.
Field, A., Hole, G.: How to Design and Report Experiments. Sage, London (2002)
49.
Tabachnick, B., Fidell, L.: Experimental Designs Using ANOVA. Brooks/Cole, Pacific Grove (2006)
50.
Tabachnick, B., Fidell, L.: Using Multivariate Statistics. Pearson Education, Upper Saddle River (2006)
51.
Howell, D.: Fundamental Statistics for the Behavioral Sciences. Wadsworth, Belmont (2007)
52.
Tullis, T., Albert, B.: Measuring the User Experience. Morgan Kaufman, San Mateo (2008)
53.
Rubin, J., Chisnell, D.: Handbook of Usability Zesting: How to Plan, Design, and Conduct Effective Tests, 2nd edn. Wiley, New York (2008)
54.
Field, A.: Discovering Statistics Using SPSS. Sage, London (2009)
55.
Groten, R., Peer, A., Buss, M.: Interpretation of results in experimental haptic interaction research. In: Workshop on Haptic Human-Robot Interaction. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2009)
56.
Groten, R., Feth, D., Goshy, H., Peer, A., Kenny, D., Buss, M.: Experimental analysis of dominance in haptic collaboration. In: The 18th International Symposium on Robot and Human Interactive Communication (2009)
57.
Rogers-Millar, L., Millar, F.: Domineeringness and dominance: A transactional view. Hum. Commun. Res. 5, 238–246 (1979) CrossRef
58.
Burgoon, J., Johnson, M., Koch, P.: The nature and measurement of interpersonal dominance. Commun. Monogr. 65, 308–335 (1998) CrossRef
59.
Glynn, S., Henning, R.: Can teams outperform individuals in a simulated dynamic control task. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2000)
60.
Glynn, S., Fekieta, R., Henning, R.A.: Use of force-feedback joysticks to promote teamwork in virtual teleoperation. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2001)
61.
Rasmussen, J.: Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. IEEE Trans. Syst. Man Cybern. 13, 257–266 (1983)
62.
Bond, C., Lashley, B.: Round-robin analysis of social interaction: Exact and estimated standard errors. Psychometrika 61(2), 303–311 (1996) MATHCrossRef
63.
Snijeders, T., Kenny, D.: The social relations model for family data: A multilevel approach. Pers. Relatsh. 6(4), 471–486 (2005) CrossRef
64.
Gelman, A., Hill, J. (eds.): Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press, Cambridge (2008)
65.
66.
Wojtara, T., Uchihara, M., Murayama, H., Shimoda, S., Sakai, S., Fujimoto, H., Kimura, H.: Human-robot cooperation in precise positioning of a flat object. In: Proceedings of the 17th World Congress The International Federation of Automatic Control (2008)
67.
Wojtara, T., Uchihara, M., Murayama, H., Shimodaa, S., Sakaic, S., Fujimotoc, H., Kimura, H.: Human-robot collaboration in precise positioning of a three-dimensional object. Automatica 45(2), 333–342 (2009) MathSciNetMATHCrossRef
68.
Feth, D., Groten, G., Peer, A., Buss, M.: Haptic human-robot collaboration: Comparison of robot partner implementations in terms of human-likeness and task performance. Presence 20(2), 173–189 (2011) CrossRef
69.
Hinds, P., Roberts, T., Jones, H.: Whose job is it anyway? A study of human-robot interaction in a collaborative task. Hum.-Comput. Interact. 19(1), 151–181 (2004) CrossRef
70.
Ikeura, R., Inooka, H., Mizutani, K.: Subjective evaluation for maneuverability of a robot cooperating with humans. J. Robot. Mechatron. 14(5), 514–519 (2002)
71.
Wang, Z., Lu, J., Peer, A., Buss, M.: Influence of vision and haptics on plausibility of social interaction in virtual reality scenarios. In: Haptics: Generating and Perceiving Tangible Sensations. Proceedings of International Conference. Part II. EuroHaptics 2010, Amsterdam, 8–10 July 2010. Lecture Notes in Computer Science, pp. 172–177. Springer, Berlin (2010) CrossRef
72.
Karniel, A., Nisky, I., Avraham, A., Peles, B.C., Levy-Tzedek, S.: A Turing-like handshake test for motor intelligence. In: Haptics: Generating and Perceiving Tangible Sensations. Proceedings of EuroHaptics 2010 International Conference. Part I, Amsterdam, 8–10 July 2010. Lecture Notes in Computer Science, vol. 6192, pp. 197–204. Springer, Berlin (2010) CrossRef
73.
Slater, M.: Place illusion and plausibility can lead to realistic behaviour in immersive virtual environments. Philos. Trans. R. Soc. Lond. B, Biol. Sci. 364(1535), 3549–3557 (2009) CrossRef
74.
McRuer, D., Jex, H.: A review of quasi-linear pilot models. IEEE Trans. Hum. Factors Electron. HFE-8(3), 231–249 (1967) CrossRef
75.
Flash, T., Hogan, N.: The coordination of arm movements: An experimentally confirmed mathematical model. J. Neurosci. 5(7), 1688–1703 (1985)
76.
Kazerooni, H., Guo, J.: Human extenders. J. Dyn. Syst. Meas. Control 115(2B), 281–290 (1993) CrossRef
77.
Rahman, M., Ikeura, R., Mitzutani, K.: Investigation of the impedance characteristic of human arm for development of robots to cooperate with humans. JSME Int. J. Ser. C 45(2), 510–518 (2002) CrossRef
78.
Duchaine, V., Gosselin, C.: General model of human-robot cooperation using a novel velocity based variable impedance control. In: Proc. of the 2nd Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, pp. 446–451 (2007) CrossRef
79.
Duchaine, V., Gosselin, C.: Safe, stable and intuitive control for physical human-robot interaction. In: Proc. of the IEEE International Conference on Robotics and Automation, pp. 3383–3388 (2009)
80.
Feth, D., Groten, R., Peer, A., Buss, M.: Control-theoretic model of haptic human-human interaction in a pursuit tracking task. In: Proc. of the 18th IEEE International Symposium on Robot and Human Interactive Communication, pp. 1106–1111 (2009)
81.
Jagacinski, R., Flach, J.: Control Theory for Humans—Quantitative Approaches to Modeling Performance. Lawrence Erlbaum Associates, New Jersey (2003)
82.
Gentry, S., Wall, S., Oakley, I., Murray-Smith, R.: Got rhythm? Haptic-only lead and follow dancing. In: Proc. of EuroHaptics, pp. 481–488 (2003)
83.
Allison, R., Zacher, J., Wang, D., Shu, J.: Effects of network delay on a collaborative motor task with telehaptic and televisual feedback. In: Proc. of the ACM SIGGRAPH International Conference on Virtual Reality Continuum and Its Applications in Industry, pp. 375–381 (2004)
84.
Khademian, B., Hashtrudi-Zaad, K.: Performance issues in collaborative haptic training. In: Proc. of the IEEE International Conference on Robotics and Automation, pp. 3257–3262 (2007) CrossRef
85.
Thurstone, L.L.: A law of comparative judgment. Psychol. Rev. 34(107), 4 (1927)
86.
Gescheider, G.: Psychophysics: Method, Theory, and Application. Lawrence Erlbaum Associates, Hillsdale (1985)
87.
Feil-Seifer, D., Skinner, K., Mataric, M.: Benchmarks for evaluating socially assistive robotics. Interact. Stud. 8(17), 423–439 (2007)
Metadaten
Titel
Psychological Experiments in Haptic Collaboration Research
verfasst von
Raphaela Groten
Daniela Feth
Angelika Peer
Martin Buss
Copyright-Jahr
2012
Verlag
Springer London
Buch
Immersive Multimodal Interactive Presence

Print ISBN: 978-1-4471-2753-6

Electronic ISBN: 978-1-4471-2754-3

Copyright-Jahr: 2012

DOI
https://doi.org/10.1007/978-1-4471-2754-3_5

Neuer Inhalt

    Bildnachweise