Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Using Gesture-Based Interfaces to Control Robots Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Enhancing Human Robot Interaction Through Social Network Interfaces: A Case Study

Authors : Laura Fiorini, Raffaele Limosani, Raffaele Esposito, Alessandro Manzi, Alessandra Moschetti, Manuele Bonaccorsi, Filippo Cavallo, Paolo Dario

Published in: Human-Computer Interaction: Interaction Technologies

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Recently we have assisted to the rise of different Social Networks, and to the growth of robots for home applications, which represent the second big market opportunity. The use and the integration of robotics services in our daily life is strictly correlated with their usability and their acceptability. Particularly, their ease of use, among other issues, is linked to the simplicity of the interface the user has to interact with. In this sense social networks could enrich and simplify the communication between the user and technology avoiding the multiplication of custom interfaces. In this work the authors propose a system to enHancE human RobOt Interaction through common Social networks (HeROIS). HeROIS system combines the use of cloud resources, service robot and smart environments proposing three different services to help citizens in daily life. In order to assess the acceptability and the usability levels, HeROIS system and services have been tested with 13 real users (24–37 years old) in the DomoCasa Lab (Italy). As regards the usability, the results show that the proposed system is usable for 4 participants (30.77 % M = 79.69 SD = 3.13) and excellent for 9 participants (69.23 % M = 90.05 SD = 3.72). Concerning the acceptability level, the results show that the proposed system is acceptable for 8 volunteers (61.54 % M = 77.02 SD = 4.23) and excellent for 5 participants (38.46 % M = 89.71 SD = 6.06).

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

inform now

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!

inform now

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!

inform now
previous chapter Controlling the Home
next chapter aHead: Considering the Head Position in a Multi-sensory Setup of Wearables to Recognize Everyday Activities with Intelligent Sensor Fusions
Literature
1.
2.
3.
4.
Solis P., Carlaw, S.: Consumer and Personal Robotics. ABI Research (2013)
5.
Moschetti, A., Fiorini, L., Aquilano, M., Cavallo, F., Dario, P.: Preliminary findings of the AALIANCE2 ambient assisted living roadmap. In: Longhi, S., Siciliano, P., Germani, M., Monteriù, A. (eds.) Ambient Assisted Living, pp. 335–342. Springer, Switzerland (2014)CrossRef
6.
Broadbent, Elizabeth, Stafford, Rebecca, MacDonald, Bruce: Acceptance of healthcare robots for the older population: review and future directions. Int. J. Soc. Robot. 1(4), 319–330 (2009)CrossRef
7.
Emeli V., Christensen, H.: Enhancing the robot service experience through social media. RO-Man, 2011 IEEE. IEEE (2011)
8.
Ma, X., Yang, X., Zhao, S., Fu, C., Lan, Z., Pu, Y.: Robots in my contact list: using a social media platforms for human-robot interaction in domestic environment. In: APCHI 2012, pp. 133–140. ACM, New York (2012)
9.
Bell, D. et al:. Microblogging as a mechanism for human–robot interaction. Knowledge-Based Systems (2014)
10.
Emeli, V.: Robot learning through social media crowdsourcing. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2332–2337, 7–12 October 2012
11.
Kuffner J.J.: Cloud-enabled robots. IEEE-RAS International Conference on Humanoid Robotics, Nashville, TN (2010)
12.
Cavallo, F., et al.: Development of a socially believable multi-robot solution from town to home. Cogn. Comput. 6(4), 954–967 (2014)MathSciNetCrossRef
13.
Dillon, A.: User acceptance of information technology. In: Karwowski, W. (ed.) Encyclopaedia of human factors and ergonomics. Taylor & Francis, London (2001)
14.
Davis, F.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)CrossRef
15.
Ajzen. I., Fishbein, M.: Understanding Attitudes and Predicting Social Behavior. Prentice-Hall, Englewood Cliffs (1980)
16.
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: towards a unified view. MIS Q. 27(3), 425–478 (2003)
17.
Heerink, M., Kröse, B., Evers, V., Wielinga, B.: Measuring acceptance of an assistive social robot: a suggested toolkit. In: The 18th IEEE International Symposium on Robot and Human Interactive Communication Toyama, Japan, September 27–October 2 2009
18.
Santos, J.R.A.: Cronbach’s alpha: a tool for assessing the reliability of scales. J. Ext. 37(2), 1–5 (1999)
19.
McLellan, S., Muddimer, A., Peres, S.C.: The effect of experience on system usability scale ratings. J. Usability Stud. 7(2), 56–67 (2012)
20.
21.
22.
23.
Quigley, M. et al.: ROS: an open-source robot operating system. ICRA workshop on open source software, 3(3.2), pp. 803–821 (2009)
24.
Fox, D., Burgard, W., Thrun, S.: The dynamic window approach to collision avoidance. Robotics Automation Magazine. IEEE (1997)
25.
Thrun, S., Burgard, W., Fox, D.: Probabilistic Robotics. MIT Press, Cambridge (2005). ISBN 0-262-20162-3
26.
Alhmiedat, T.A., Yang, S.H.: A ZigBee based mobile tracking system through wireless sensor network. Int. J. Adv. Mechatron. Syst. 1(1), 63–70 (2008)CrossRef
27.
Kehoe, B., Patil, S., Abbeel, P., Goldberg, K.: A survey of research on cloud robotics and automation. IEEE Trans. Autom. Sci. Eng. (T-ASE) 12(2), 1–12 (2015)CrossRef
28.
29.
Pivato, P., Palopoli, L., Petri, D.: Accuracy of RSS-based centroid localization algorithms in an indoor environment. IEEE Trans. Instrum. Meas. 60(10), 3451–3460 (2011)CrossRef
30.
Yufeng, Q.J., Jianhua, M.: Integration of range-based and range-free localiza-tion algorithms in wireless sensor networks for mobile clouds. In: IEEE International Conference on and IEEE Cyber, Physical and Social Computing (2013)
31.
Nunnally, J.C., et al.: Psychometric Theory, vol. 226. McGraw-Hill, New York (1967)
32.
Kline, P.: Handbook of Psychological Testing. Routledge, New York (2013)
33.
Lougheed, E.: Frazzled by Facebook? An exploratory study of gender differences in social network communication among undergraduate men and women. College Student J. 46(1), 88–99 (2012)
Metadata
Title
Enhancing Human Robot Interaction Through Social Network Interfaces: A Case Study
Authors
Laura Fiorini
Raffaele Limosani
Raffaele Esposito
Alessandro Manzi
Alessandra Moschetti
Manuele Bonaccorsi
Filippo Cavallo
Paolo Dario
Copyright Year
2015
Book
Human-Computer Interaction: Interaction Technologies

Print ISBN: 978-3-319-20915-9

Electronic ISBN: 978-3-319-20916-6

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-20916-6_67