NDLI: Towards a Study to Assess Conversation-based Interaction between People with Dementia and Robots

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Towards a Study to Assess Conversation-based Interaction between People with Dementia and Robots

Content Provider	Semantic Scholar
Author	Cruz-Sandoval, Dagoberto Favela, Jesús Nestorov, Nikola Stone, Emer Lehane, Patrick Steinfeld, Aaron Fong, Terrence Kaber, David B. Lewis, Michael Scholtz, Jean Schultz, Alan C. Lawton, Michael P. Haitsma, Kimberly Van
Copyright Year	2017
Abstract	Socially Assistive Robots (SAR) promote social interaction to provide cognitive, social and emotional support to people who interact with them. Therapies and interventions supported by SAR technologies for people with dementia (PwD) have found promising applications. Since a conversation is one of the most important strategies for social interaction with PwD we propose the use of a robot to enact a personalized conversation to calm, distract and relax people who suffer from dementia. However, a PwD-robot interaction has many differences with respect to an interaction between a robot and a person without dementia. Thus, to achieve our goal we propose a study to explore the adoption of a conversational SAR by PwD. In this work, we propose an exploratory study to answer open questions about PWD-robot interaction related to engagement, adoption factors, and communication strategies. We expect to answer these questions using common metrics used for human-robot interaction (HRI) and dementia research. With this study, we expect to determine which issues influence the adoption of a SAR by PwD. Moreover, this study will allow us to better understand how a PwD can interact with an autonomous conversational robot.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://clawar.org/wp-content/uploads/2017/04/7.Sandoval.poster.reHRI2017.pdf
Alternate Webpage(s)	https://clawar.org/wp-content/uploads/2017/04/7.Sandoval.paper_.reHRI2017.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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