Explication of knowledge – Revolutionise and Re-evaluate Robot Interaction for eHealth services
Abstract for a workshop session during the NIVA course on eHealth Revolution and Changing Work, 18th – 20th of September 2018, Hanaholmen – the Swedish-Finnish Cultural Centre, Espoo, Finland
Kristiina Jokinen, Adjunct Professor, University of Helsinki, Finland
In the dawn of the intelligent agents and robots being envisaged as companionable co-workers at workplaces and homes, one of the main challenges that such agents must address is the understanding and use of the knowledge that concerns environment and human activities. To make the agents function smoothly and to improve efficiency and quality of the services that interactive robots can provide in work contexts, it is important to equip the robot with knowledge that enables it to act and communicate with humans naturally in the work situation. A social robot should draw its role and functioning from the situation by observing the human co-participants, connecting the observed actions to a goal-oriented ontology, and making inferences on the basis of the ontology and the relevant situational knowledge.
In this session we will make work processes visible by explicating tacit knowledge possessed by health-care professionals using the method of “knowledge explication”. This includes structuring of non-tangible things such as knowledge and awareness of humans in work places, type and sequence of the typical processes and activities involved in the tasks, and roles and responsibilities of the participants together with risks and qualities of their possible actions. Since interactions with intelligent agents are likely to increase drastically in the coming years, it is important that the agents can converse with humans appropriately. We thus aim to connect this knowledge to operational procedures to support robot services, and develop technologies that help reduce the risk, efficiency and quality of the work site. We continue within the activity framework for supporting robot technology in service workplaces, and study ways to create value through collaboration between people with advanced knowledge and skills.
Based on the activities and knowledge of the site, it is necessary to design new activities by the site and to link this to the new AI technology by developers. Therefore, to develop technology to enhance human cognition (observation, judgment, and cooperation), it is important to enhance the agents’ and participants’ awareness ability including human emotions and subjectivity. This can be done by structured information sharing technology that addresses the challenges to grasp
1) activities and actions which include subjective interpretation along with people’s behavior1) activities and actions which include subjective interpretation along with people’s behavior.
2) the knowledge which is required by the community on a particular activity but varies depending on the characteristics of the persons and changes in the activity.
The session can be linked to a talk about the current developments in the Japanese health-care services with the help of new technology. At AIST AIRC, we are collecting and studying this type of knowledge to improve the efficiency and quality of work, especially in nursing care and nursing services but also in preventive actions such as music and dance therapy, cultural and community activities, etc. We target sites where stakeholders with multiple expert knowledge collaborate to create value, i.e. not only nursing, nursing and health care, but also education, manufacturing industry etc. are targeted.
The session can have Japanese expert(s) to assist with hands-on exercises and to share knowledge of the goal-oriented knowledge already built in several Japanese nursing homes. It thus becomes possible to extend the session to a brief comparison of structured knowledge in the two countries, and thus the seminar can gain extra value on discussions of culturally different countries seeking for solutions to the similar problems of AI technology in social robotics.