Last modified by Shambhawi Pal on 2023/03/06 13:40

From version 9.1
edited by Marijn Roelvink
on 2023/03/06 10:06
Change comment: There is no comment for this version
To version 11.1
edited by Shambhawi Pal
on 2023/03/06 13:40
Change comment: There is no comment for this version

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22 22  
23 23  For the human-robot collaboration, we wil use the following theories to design our robot with:
24 24  
25 -**Theory of mind:** Sometimes during a human-robot interaction, the PwD might misinterpret information or might be inattentive. This could lead to a communication gap between the patient and the robot. In this case, the robot will be able to detect any such issues and inform the patient without annoying the PwD  [5]
25 +**Theory of mind:** Sometimes during a human-robot interaction, the PwD might misinterpret information or might be inattentive. This could lead to a communication gap between the patient and the robot. In this case, the robot will be able to detect any such issues and inform the patient without annoying the PwD [5] .
26 26  
27 27  **Shared Mental Models:** Since the robot and the PwD will be performing an activity where the robot guides the PwD in painting and the PwD paints, therefore a joint collaboration between the robot and the PwD is required. This is because the activities of the PwD and the robot will be interdependent. [6]
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29 29  
30 -For disabled persons we can make a robot that paints for them through eye tracking: [[https:~~/~~/www.mdpi.com/2218-6581/10/2/54>>https://www.mdpi.com/2218-6581/10/2/54]]
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35 35  1. M.-T. Chu, R. Khosla, S. M. S. Khaksar and K. Nguyen, "Service innovation through social robot engagement to improve dementia care quality", //Assistive Technology//, vol. 29, no. 1, pp. 8-18, 2017.
36 36  1. D. Hebesberger, T. Koertner, C. Gisinger, J. Pripfl and C. Dondrup, "Lessons learned from the deployment of a long-term autonomous robot as companion in physical therapy for older adults with dementia a mixed methods study," 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Christchurch, New Zealand, 2016, pp. 27-34, doi: 10.1109/HRI.2016.7451730.
37 37  1. B. Irfan, A. Ramachandran, S. Spaulding, D. F. Glas, I. Leite and K. L. Koay, "Personalization in Long-Term Human-Robot Interaction," 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Daegu, Korea (South), 2019, pp. 685-686, doi: 10.1109/HRI.2019.8673076.