| Acronym | CARESSES |
| Visibility | Public |
| Description | The CARESSES Ontology encodes guidelines defined by experts in Transcultural Nursing, with the aim of offering a specific tool for endowing social assistive robots (assisting older adults) with cultural competence. |
| Status | Production |
| Format | OWL |
| Contact | Lov Migration ([email protected]) |
| Creation date | June 10, 2019
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| Deprecated |
false
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| Generic type | |
| Indexed or included in catalog or repository | |
| Keywords |
Health
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| License | 
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| Metadata vocabulary used | |
| Modification date | June 17, 2019
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| Natural language |
English
English
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| Notes |
As part of a joint effort towards the development of a culturally competent robot for elderly care, experts in Transcultural Nursing have led the development of guidelines defining the behaviour and functionalities of a culturally competent robot for older people, linking cultural knowledge and perceptual information to actions and utterances. These guidelines have an impact upon the following main areas:
- Goals. The user always has the last word in choosing what the robot should do for her. However, the robot might proactively make suggestions, and some of them might depend on cultural factors. What activity should the robot suggest the user to engage in before lunch? Cooking - and what menu?, praying - and how? What will the user most likely want to be reminded of? Social or cultural events - and which ones? TV shows?
- Actions and their parameters. Different cultures may use different actions to convey the same concept. How should the robot greet the user? Waving, bowing, or with a Namaste? What volume would the user be comfortable with? What distance while interacting?
- Norms. Behaviours which are common in one culture might be unacceptable in others. Are there areas of the house that should be off-limits for the robot? Does the answer depend on the time of the day? What is the user likely to consider as private?
- Topics of conversation. Different cultures might have different histories, customs and traditions, which influence the lifestyle of people. What are the topics a user might like to talk about? Is she interested in sports, movies, politics or social activities? And if so, which sports, which types of movies could the robot suggest? Topics of conversation are also those activities in which the robot might assist the user, independently from any physical assistance it might also provide. Could the user be interested in discussing pizza toppings? Could this motivate her to bake a pizza herself? Or to call her friends for an evening out?
The CARESSES Ontology encodes all these guidelines, with the aim of offering a specific tool for endowing robots with cultural competence. In particular, this Ontology may be used to:
- provide suitable Goals, Operators, Actions and Parameters to the planner
- handle the verbal interaction between the robot and the user, in a cultural competent way.
- store user-specific information, that makes the robot attune its behaviour towards the assisted person’s preferences and needs.
Please refer to the following for additional information:
- http://caressesrobot.org, CARESSES project website;
- Bruno, B., Menicatti, R., Recchiuto, C. T., Lagrue, E., Pandey, A. K., & Sgorbissa, A. (2018, June). Culturally-Competent Human-Robot Verbal Interaction. In 2018 15th International Conference on Ubiquitous Robots (UR) (pp. 388-395). IEEE.
- Sgorbissa, A., Papadopoulos, I., Bruno, B., Koulouglioti, C., & Recchiuto, C. (2018, October). Encoding guidelines for a culturally competent robot for elderly care</a> . In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 1988-1995). IEEE.
- Bruno, B., Recchiuto, C. T., Papadopoulos, I., Saffiotti, A., Koulouglioti, C., Menicatti, R., ... & Sgorbissa, A. (2019). International Journal of Social Robotics, 1-24.
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Version 1.0
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| Object creation date property | |
| Object modification date property | |
| Preferred namespace URI | |
| Preferred namespace prefix |
caresses
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| Specializes | |
| Submission date | January 22, 2026
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| Syntax | |
| Version information |
1.0
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| uri |