Article published in:
Human Robot Collaborative Intelligence: Theory and applications
Edited by Chenguang Yang, Xiaofeng Liu, Junpei Zhong and Angelo Cangelosi
[Interaction Studies 20:1] 2019
► pp. 424
References

References

Al-Razgan, M., H. Al-Khalifa, M. Al-Shahrani, and H. Al-Ajmi
(2012) Touch-based mobile phone interface guidelines and design recommendations for elderly people: A survey of the literature, ser. Lecture Notes in Computer Science. Berlin Heidelberg: Springer, vol. 7666, pp. 568–574.Google Scholar
Blythe, M. A., A. F. Monk, and K. Doughty
(2005) “Socially dependable design: The challenge of ageing populations for HCI,” Interacting with Computers, vol. 17, no. 6, pp. 672–689. CrossrefGoogle Scholar
Bohus, D. and A. Rudnicky
(2009) “The ravenclaw dialog management framework: Architecture and systems,” Computer Speech and Language, vol. 23, no. 3, pp. 332–361. CrossrefGoogle Scholar
Breazealm C., C. Kidd, A. Thomaz, G. Hoffman, and M. Berlin
(2005) “Effects of nonverbal communication on efficiency and robustness in human-robot teamwork,” in Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 708–713.Google Scholar
Cavallo, F., R. Esposito, R. Limosani, A. Manzi, R. Bevilacqua, E. Felici, A. D. Nuovo, A. Cangelosi, F. Lattanzio, and P. Dario
(2018) “Robotic services acceptance in smart environments with older adults: User satisfaction and acceptability study,” J Med Internet Res, vol. 20, no. 9.Google Scholar
Di Nuovo, A., F. Broz, T. Belpaeme, A. Cangelosi, F. Cavallo, R. Esposito, and P. Dario
(2014) “A web based multi-modal interface for elderly users of the Robot-Era multi-robot services,” in Proc. IEEE International Conference on Systems, Man and Cybernetics, pp. 2186–2191.Google Scholar
Hare, B. and M. Tomasello
(2005) “Human-like social skills in dogs?Trends in Cognitive Sciences, vol. 9, no. 9, pp. 439–444. CrossrefGoogle Scholar
Kipp, M.
(2014) Handbook of Corpus Phonology. Oxford University Press, ch. ANVIL: A Universal Video Research Tool, pp. 420–436.Google Scholar
Knapp, M. L., J. A. Hall, and T. G. Horgan
(2013) Nonverbal communication in human interaction, 8th ed. Boston, USA: Wadsworth 2013.Google Scholar
Lemon, O.
(2004) “Context-sensitive speech recognition in Information-State Update dialogue systems: results for the grammar switching approach,” in Proc. Eighth Workshop on the Semantics and Pragmatics of Dialogue, pp. 49–55.Google Scholar
Linert, J. and P. Kopacek
(2016) “Robots for education (edutainment),” in IFAC-PapersOnLine, Elsevier, Ed., vol. 49, no. 29, pp. 24–29.Google Scholar
Mayer, P., C. Beck, and P. Panek
(2012) “Examples of multimodal user interfaces for socially assistive robots in ambient assisted environments,” in Proc. IEEE International Conference on Cognitive Infocommunications, pp. 401–406.Google Scholar
Morency, L.-P. and T. Darrell
(2004) “From conversational tooltips to grounded discourse: Head post tracking in interactive dialog systems,” in ACM International Conference on Multimodal Interaction, pp. 32–37.Google Scholar
Mutlu, B., T. Shiwa, T. Kanda, H. Ishiguro, and N. Hagita
(2009) “Footing in human-robot conversations: How robots might shape participant roles using gaze cues,” in Proc. ACM/IEEE International Conference on Human Robot Interaction, pp. 61–68.Google Scholar
Portet, F., M. Vacher, C. Golanski, C. Roux, and B. Meillon
(2013) “Design and evaluation of a smart home voice interface for the elderly: acceptability and objection aspects,” Personal and Ubiquitous Computing, vol. 17, no. 1, pp. 127–144. CrossrefGoogle Scholar
Robot-Era project: Implementation and integration of advanced robotic systems and intelligent environments in real scenarios for the ageing population,” FP7-ICT-Challenge 5: ICT for Health, Ageing Well, Inclusion and Governance. Grant agreement number 288899.
Schneider, J., S. Irgenfried, W. Stork, and H. Wörn
(2015) “A multimodal human machine interface for a robotic mobility aid,” in Proc. IEEE International Conference on Automation, Robotics and Applications, pp. 289–294.Google Scholar
Sehili, M. A., F. Yang, and L. Devillers
(2014) “Attention detection in elderly people-robot spoken interaction,” in Proc. ICMI Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction, pp. 7–12.Google Scholar
Sheikhi, S. and J.-M. Odobez
(2014) “Combining dynamic head pose-gaze mapping with the robot conversational state for attention recognition in human-robot interactions,” Pattern Recognition Letters.Google Scholar
Smarr, C., A. Prakash, J. Beer, T. Mitzner, C. Kemp, and W. Rogers
(2012) “Older adults preferences for and acceptance of robot assistance for everyday living tasks,” in Proc. Human Factors and Ergonomics Society Annual Meeting, pp. 153–157. CrossrefGoogle Scholar
Staudte, M. and M. Crocker
(2009) “Visual attention in spoken human-robot interaction,” in Proc. ACM/IEEE International Conference on Human-Robot Interaction, pp. 77–84.Google Scholar
Tang, D., B. Yusuf, J. Botzheim, N. Kubota, and C. Chan
(2015) “A novel multimodal communication framework using robot partner for aging population,” Expert Systems with Applications, vol. 42, no. 9, pp. 4540–4555. CrossrefGoogle Scholar
United Nations
(2017, October). “Population facts.”Google Scholar
Wang, N., F. Broz, A. Di Nuovo, T. Belpaeme, and A. Cangelosi
(2016) Recent Advances in Nonlinear Speech Processing, ser. 2190–3018. Springer International Publishing, vol. 48, ch. A user-centric design of service robots speech interface for the elderly, pp. 275–283. CrossrefGoogle Scholar
Yamazaki, A., K. Yamazaki, Y. Kuno, M. Burdelski, M. Kawashima, and H. Kuzuoka
(2008) “Precision timing in human-robot interaction: Coordination of head movement and utterance,” in Proc. SIGCHI Conference on Human Factors in Computing Systems, pp. 131–140.Google Scholar
Yu, C., M. Scheutz, and P. Schermerhorn
(2010) “Investigating multimodal real-time patterns of joint attention in an HRI word learning task,” in Proc. ACM/IEEE International Conference on Human-Robot Interaction, pp. 309–316.Google Scholar

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