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
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
International Journal of Social Robotics
Erschienen in: International Journal of Social Robotics 5/2015

01.11.2015

Capturing Expertise: Developing Interaction Content for a Robot Through Teleoperation by Domain Experts

verfasst von: Kanae Wada, Dylan F. Glas, Masahiro Shiomi, Takayuki Kanda, Hiroshi Ishiguro, Norihiro Hagita

Erschienen in: International Journal of Social Robotics | Ausgabe 5/2015

Einloggen

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

search-config
loading …

Abstract

The development of humanlike service robots which interact socially raises a new question: how can we create good interaction content for such robots? Domain experts specializing in the target service have the knowledge for making such content. Yet, while they can easily engage in good face-to-face interactions, we found it difficult for them to prepare conversational content for a robot in written form. Instead, we propose involving experts as teleoperators in a short-cycle iterative development process in which the expert develops content, teleoperates a robot using that content, and then revises the content based on that interaction. We propose a software system and design guidelines to enable such an iterative design process. To validate these solutions, we conducted a comparison experiment in the field, with a teleoperated robot acting as a guide at a tourist information center in Nara, Japan. The results showed that our system and guidelines enabled domain experts with no robotics background to create better interaction content and conduct better interactions than domain experts without our system.
Vorheriger Artikel Can a Social Robot Stimulate Science Curiosity in Classrooms?
Nächster Artikel Care, Monitoring, and Companionship: Views on Care Robots from Older People and Their Carers

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
Literatur
1.
Pineau J, Montemerlo M, Pollack M, Roy N, Thrun S (2003) Towards robotic assistants in nursing homes: challenges and results. Robot Autonom Syst 42:271–281CrossRefMATH
2.
Shiomi M, Kanda T, Glas DF, Satake S, Ishiguro H, Hagita N (2009) Field trial of networked social robots in a shopping mall. In: Proceedings of the IEEE/RSJ international conference on intelligent robots and systems (IROS2009), pp 2846–2853
3.
Gross H-M, Boehme H-J, Schroeter C, Mueller S, Koenig A, Martin C, Merten M, Bley A (2008) ShopBot: progress in developing an interactive mobile shopping assistant for everyday use. IEEE international conference on systems, man, and cybernetics, pp 3471–3478
4.
Gockley R, Bruce A, Forlizzi J, Michalowski M, Mundell A, Rosenthal S, Sellner B, Simmons R, Snipes K, Schultz AC, Wang J (2005) Designing robots for long-term social interaction. In: IEEE/RSJ international conference on intelligent robots and systems (IROS2005), pp 1338–1343
5.
Weiss A, Igelsbock J, Tscheligi M, Bauer A, Kuhnlenz K, Wollherr D, Buss M (2010) Robots asking for directions: the willingness of passers-by to support robots. In: Proceedings of the ACM/IEEE international conference on human-robot interaction (HRI2010), pp 23–30
6.
Polanyi M (1962) Personal knowledge: towards a post-critical philosophy. University of Chicago Press, Chicago
7.
Eraut M (2000) Non-formal learning and tacit knowledge in professional work. Br J Educat Psychol 70:113–136CrossRef
8.
Kahn P, Freier N, Kandau T, Ishiguro H, Ruckert J, Severson R, Kane S (2008) Design patterns for sociality in human-robot interaction. In: ACM/IEEE international conference on human-robot interaction, pp 97–104
9.
Kanda T, Shiomi M, Miyashita Z, Ishiguro H, Hagita N (2010) A communication robot in a shopping mall. IEEE Trans Robot 26:897–913CrossRef
10.
Glas DF, Kanda T, Ishiguro H, Hagita N (2012) Teleoperation of multiple social robots. IEEE Trans Syst Man Cybernet A Syst Humans 42(3):530–544CrossRef
11.
McTear MF (2002) Spoken dialogue technology: enabling the conversational user interface. ACM Comput Surv (CSUR) 34:90–169CrossRef
12.
Glas DF, Satake S, Kanda T, Hagita N (2011) An interaction design framework for social robots. In: Robotics: science and systems conference
13.
McTear MF (1998) Modelling spoken dialogues with state transition diagrams: experiences with the CSLU toolkit. In: International conference on spoken language processing (ICSLP1998), pp 1223–1226
14.
Bohus D, Raux A, Harris TK, Eskenazi M, Rudnicky AI (2007) Olympus: an open-source framework for conversational spoken language interface research. In: HLT-NAACL 2007 workshop on bridging the gap: academic and industrial research in dialog technology, 2007, pp 32–39
15.
Krenn B, Sieber G (2008) Functional mark-up for behaviour planning: theory and practice. In: Proceedings of the AAMAS 2008 workshop FML: functional markup language. Why conversational agents do what they do
16.
Nishimura Y, Minotsu S, Dohi H, Ishizuka M, Nakano M, Funakoshi K, Takeuchi J, Hasegawa Y, Tsujino H (2007) A markup language for describing interactive humanoid robot presentations. In: International conference on intelligent user interfaces (IUI 2007), pp 333–336
17.
Chernova S, Orkin J, Breazeal C (2010) Crowdsourcing HRI through online multiplayer games. In: The AAAI fall symposium dialog with robots, pp 14–19
18.
Wallis P, Mitchard H, Das J, ODea D (2001) Dialogue modelling for a conversational agent. In: Stumptner M, Corbett D, Brooks M (eds) AI 2001: advances in artificial intelligence, vol 2256. Lecture notes in artificial intelligenceSpringer, Berlin
19.
Boose JH, Bradshaw JM (1987) Expertise transfer and complex problems: using AQUINAS as a knowledge-acquisition workbench for knowledge-based systems. Int J Man Mach Stud 26(1):3–28
20.
Kuo I-H, Jayawardena C, Broadbent E, MacDonald BA (2011) Multidisciplinary design approach for implementation of interactive services: communication initiation and user identification for healthcare service robots. Int J Soc Robot 3:443–456CrossRef
21.
Lohse M, Siepmann F (2014) A modeling framework for user-driven iterative design of autonomous systems. Int J Soc Robot 6(1):121–139CrossRef
22.
Ross D, Lim J, Lin R-S, Yang M-H (2008) Incremental learning for robust visual tracking. Int J Comput Vis 77(1–3):125–141CrossRef
23.
Zang P, Tian R, Thomaz AL, Isbell CL (2010) Batch versus interactive learning by demonstration. In: Proceedings of the IEEE 9th international conference on development and learning (ICDL), pp 219–224
24.
Petelin JB, Nelson ME, Goodman J (2007) Deployment and early experience with remote-presence patient care in a community hospital. Surgic Endosc 21:53–56CrossRef
25.
Tsui KM, Desai M, Yanco HA, Uhlik C (2011) Exploring use cases for telepresence robots. In: ACM/IEEE international conference on human-robot interaction (HRI2011)
26.
Yun S-S, Kim M, Choi M-T (2013) Easy interface and control of tele-education robots. Int J Soc Robot 5:335–343CrossRef
27.
Takayama L, Marder-Eppstein E, Harris H, Beer JM (2011) Assisted driving of a mobile remote presence system: system design and controlled user evaluation. In Proceedings of the IEEE international conference on robotics and automation (ICRA2011), pp 1883–1889
28.
Zheng K, Glas DF, Kanda T, Ishiguro H, Hagita N (2011) How many social robots can one operator control? Proceedings of the ACM/IEEE 6th annual conference on human-robot interaction. Lausanne, Switzerland, pp 379–386
29.
Kanda T, Shiomi M, Miyashita Z, Ishiguro H, Hagita N (2009) An affective guide robot in a shopping mall. In: ACM/IEEE international conference on human-robot interaction (HRI2009), pp 173–180
30.
Castro-Gonzlez Á, Malfaz M, Salichs MA (2011) Learning the selection of actions for an autonomous social robot by reinforcement learning based on motivations. Int J Soc Robot 3:427–441CrossRef
31.
Hollingsed TK, Ward Nigel G (2007) A combined method for discovering short-term affect-based response rules for spoken tutorial dialog. In: Proceedings of the ISCA ITRW workshop on speech and language technology in education (SLaTE)
32.
Nigel W, Anais GR, Karen W, David GN (2005) Some usability issues and research priorities in spoken dialog applications. Technical report UTEP-CS-05-23, University of Texas at El Paso
33.
Jung J, Kanda T, Kim M-S (2013) Guidelines for contextual motion design of a humanoid robot. Int J Soc Robot 5(2):153–169CrossRef
34.
Sacks HH, Schegloff EA, Jefferson G (1974) A simplest systematics for the organization of turn-taking for conversation. Language 50(4):696–735CrossRef
35.
Chao C, Thomaz AL (2010) Turn taking for human-robot interaction. Paper presented at the AAAI fall symposium: dialog with robots
36.
Nagaoka C, Komori M, Nakamura T (2005) Influence of response latencies on impression evaluation of speakers in dialogues: differences of cues used for evaluation by degree of social skill. Tech Rep IEICE 104(745):57–60
37.
Jaffe J, Feldstein S (1970) Rhythms of dialogue. Academic, New York
38.
Shiwa T, Kanda T, Imai M, Ishiguro H, Hagita N (2008) How quickly should communication robots respond? In: Proceedings of the ACM/IEEE international conference on human-robot interaction (HRI2008), pp 153–160
39.
Glas DF, Kanda T, Ishiguro H, Hagita N (2012) Temporal awareness in teleoperation of conversational robots. IEEE Trans Syst Man Cybernet A Syst Humans 42(4):905–919CrossRef
40.
Ward N, Tsukahara W (2000) Prosodic features which cue back-channel responses in English and Japanese. J Pragmat 32(8):1177–1207CrossRef
41.
Kanda T, Ishiguro H, Imai M, Ono T (2004) Development and evaluation of interactive humanoid robots. Proc IEEE 92(11):1839–1850CrossRef
42.
Miller GA (1956) The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological Rev 63(2):81CrossRef
43.
Dahlbck N, Jnsson A, Ahrenberg L (1993) Wizard of Oz studies: why and how. In: International conference on intelligent user interfaces, pp 193–200
44.
Villano M, Crowell CR, Wier K, Tang K, Thomas B, Shea N, Schmitt LM, Diehl JJ (2011) DOMER: a wizard of oz interface for using interactive robots to scaffold social skills for children with autism spectrum disorders. In: ACM/IEEE 6th international conference on human-robot interaction, Lausanne, Switzerland
45.
Kawai H, Toda T, Ni J, Tsuzaki M, Tokuda K (2004) XIMERA: a new TTS from ATR based on corpus-based technologies. In: ISCA speech synthesis workshop, pp 179–184
Metadaten
Titel
Capturing Expertise: Developing Interaction Content for a Robot Through Teleoperation by Domain Experts
verfasst von
Kanae Wada
Dylan F. Glas
Masahiro Shiomi
Takayuki Kanda
Hiroshi Ishiguro
Norihiro Hagita
Publikationsdatum
01.11.2015
Verlag
Springer Netherlands
Erschienen in
International Journal of Social Robotics / Ausgabe 5/2015
Print ISSN: 1875-4791
Elektronische ISSN: 1875-4805
DOI
https://doi.org/10.1007/s12369-015-0288-9

Weitere Artikel der Ausgabe 5/2015

International Journal of Social Robotics 5/2015 Zur Ausgabe

OriginalPaper

Learning with Educational Companion Robots? Toward Attitudes on Education Robots, Predictors of Attitudes, and Application Potentials for Education Robots

OriginalPaper

Children’s Knowledge and Imaginary About Robots

OriginalPaper

On the Reaction to Robot’s Speech in a Hotel Public Space

OriginalPaper

Humans are Well Tuned to Detecting Agents Among Non-agents: Examining the Sensitivity of Human Perception to Behavioral Characteristics of Intentional Systems

OriginalPaper

A New Robotic Platform for Sign Language Tutoring

OriginalPaper

Can a Social Robot Stimulate Science Curiosity in Classrooms?

Premium Partner

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

    Zur Marktübersicht
    Bildnachweise