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References [1] D.J. Feil-Seifer and M.J. Matarić, Defining socially assistive robotics. In International Conference on Rehabilitation Robotics. Chicago, IL, 2005, 465–468. [2] T. Fong, I. Nourbakhsh, A survey of socially interactive robots. Robotics and Autonomous Systems, Special issue on Socially Interactive Robots 42, 3-4, 2003, 143–166. [3] J. Tao and T. Tan, Affective computing: A review. Lecture Notes in Computer Science 3784, 2005, 981–995. [4] A. Duschau-Wicke, T. Brunsch, L. Lunenburger, and R. Riener, Adaptive support for patient-cooperative gait

References [1] E. Broadbent, R. Stafford, B. MacDonald, Acceptance of healthcare robots for the older population: Review and future directions, International Journal of Social Robotics, 2009, 1(4), 319– 330 [2] J. Broekens, M. Heerink, H. Rosendal, Assistive social robots in elderly care: a review, Gerontechnology, 2009, 8(2), 94–103 [3] A. Tapus, M. J.Mataric, B. Scassellati, Socially assistive robotics [grand challenges of robotics], IEEE Robotics & Automation Magazine, 2007, 14(1) 35–42 [4] C. C. Bennett, S. Sabanovic, J. A. Piatt, S. Nagata, L. Eldridge, N

A SOCIAL ASSISTIVE ROBOT IN AN INTELLIGENT ENVIRONMENT Peter Mayer1, Paul Panek1 1Centre for Applied Assistive Technologies, Inst. for Design & Assessment of Technology, TU Wien, Austria Abstract: In the HOBBIT project Ambient Assisted Living (AAL) sensors and actuators establish an intelligent envi- ronment within which a socially assistive robot supports old users in daily living. Robot and AAL environment together construct a shared context and benefit from complementing each other for enhancing context awareness and

References [1] (May 2014), 1-14/index.html [2] (May 2014), [3] Belhumeur, P., Hespanha, J., Kriegman, D.: Eigenfaces vs. fisherfaces: recognition using class specific linear projection. Pattern Analysis and Machine Intelligence, IEEE Transactions on 19(7), 711–720 (Jul 1997) [4] Bemelmans, R., Gelderblom, G.J., Jonker, P., De Witte, L.: Socially assistive robots in elderly care: A systematic review into effects and effectiveness. Journal of the American Medical Directors

human-trainer intervention, Developmental Neurorehabilitation, pp. 1-12, 2012. [22] C. Nikolopoulos, D. Kuester, M. Sheehan, S. Dhanya, Investigation on Requirements of Robotic Platforms to Teach Social Skills to Individuals with Autism, vol. 59 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2011, pp. 65-73. [23] C. Nikolopoulos, D. Kuester, M. Sheehan, D. Sneeha,W. Herring, A. Becker, L. Bogart, Socially assistive robots and autism, Journal of Solid State Phenomena, 2010 , vol. 166-167, pp. 315-320. [24] C

References [1] T. Fong, I. Nourbakhsh, and K. Dautenhahn, A survey of socially interactive robots, Robotics and Autonomous Systems, 42, 3-4 (2003) 143-166 [2] D. Feil-Seifer and M. J. Mataric, Defining socially assistive robotics, in 9th International Conference on Rehabilitation Robotics (2005) 465-468. [3] R. Gockley, A. Bruce, J. Forlizzi, M. Michalowski, A. Mundell, S. Rosenthal, B. Sellner, R. Simmons, K. Snipes, A. Schultz, and J. Wang, Designing robots for long-term social interaction, in 2005 IEEE/RSJ International Conference on Intelligent Robots (2005


The original article was published in Paladyn, Journal of Behavioral Robotics, 2017, 8(1), 1-17, The aim of this erratum is to report the results of a new analysis of the data.

, Workshop on Interactive Robots and Entertainment (2000, Pittsburgh, USA), Pennsylvania, robots-for-the-elderly/ [4] M. A. Goodrich, A. C. Shultz, Human-robot interaction: a survey, Foundations and Trends in Human-Computer Interaction, 2008, 7 (3), 203-275 [5] L. Blond, F.Olesen, Unpacking the cultural baggage of travelling robots - how socially assistive robots are integrated in practice, In: C. Hasse, D. M. Søndergaard (Eds.), Designing Robots, Designing Humans, Routledge, 2019 (in press) [6] M. M. A. de Graaf

well as activities of daily living. In order to provide effective treatment outcomes, such methods should begin during early childhood (i.e., 1.5–6 years old), and it is recommended that children receive 20–40 hours a week of one-on-one instruction from a healthcare professional with training in behavior analysis [ 4 ]. Such intensive one-on-one treatment limits the number of indi-viduals that healthcare professionals can positively affect. Socially assistive robots (SARs) could be a supportive technology to these healthcare professionals, as they provide

-being valuation method, Health & Social Care in the Community, 2016, 24(5), e81-91, DOI: 10.1111/hsc.12250 [4] A. Squires, et al., A systematic survey instrument translation process for multi-country, comparative health workforce studies, International Journal of Nursing Studies, 2013, 50(2), 264–273, DOI: 10.1016/j.ijnurstu.2012.02.015 [5] D. Feil-Seifer, M. J. Mataric, Defining socially assistive robotics, In: Proceeding of the 9th International Conference on Rehabilitation Robotics (ICORR 2005), IEEE, 2005, 465–468 [6] A. M. Okamura, M. J. Mataric, H. I. Christensen, Medical