Mark A Neerincx
Biographic Data
| ID | 5118563 |
|---|---|
| NAME | Mark A Neerincx |
| GIVEN NAMES | Mark A |
| FAMILY NAME | Neerincx |
| SIGNATURE | NEERINCX M A |
| AFFILIATIONS | Delft University of Technology |
| ORCID | 0000-0002-8161-5722 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 48 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Generative AI-powered social robots in education
The rise of Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) is accelerating the integration of social robots into education. These technologies enhance robots' abilities in natural language interaction, adaptive behaviour, and personalised learning support. To advance real-world implementation, it is essential to identify the main challenges and opportunities in this field. We conducted a two-round Delphi study with 16…
Explainable AI for all - A roadmap for inclusive XAI for people with cognitive disabilities
Artificial intelligence (AI) is increasingly prevalent in our daily lives, setting specific requirements for responsible development and deployment: The AI should be explainable and inclusive. Despite substantial research and development investment in explainable AI, there is a lack of effort into making AI explainable and inclusive to people with cognitive disabilities as well. In this paper, we present the first steps towards this research topi…
It Takes Two
While interacting with a social robot, children have a need to express themselves and have their expressions acknowledged by the robot—a need that is often unaddressed by the robot, due to its limitations in understanding the expressions of children. To keep the child-robot interaction manageable, the robot takes control, undermining children’s ability to co-regulate the interaction. Co-regulation is important for having a fulfilling social inter…
Role of emotions in responsible military AI
A Cloud-based Robot System for Long-term Interaction
Making the transition to long-term interaction with social-robot systems has been identified as one of the main challenges in human-robot interaction. This article identifies four design principles to address this challenge and applies them in a real-world implementation: cloud-based robot control, a modular design, one common knowledge base for all applications, and hybrid artificial intelligence for decision making and reasoning. The control ar…
Design patterns for human-AI co-learning
The rapid advancement of technology empowered by artificial intelligence is believed to intensify the collaboration between humans and AI as team partners. Successful collaboration requires partners to learn about each other and about the task. This human-AI co-learning can be achieved by presenting situations that enable partners to share knowledge and experiences. In this paper we describe the development and implementation of a task context an…
Human-centered XAI
Much of the research on eXplainable Artificial Intelligence (XAI) has centered on providing transparency of machine learning models. More recently, the focus on human-centered approaches to XAI has increased. Yet, there is a lack of practical methods and examples on the integration of human factors into the development processes of AI-generated explanations that humans prove to uptake for better performance. This paper presents a case study of an…
Hybrid collective intelligence in a human–AI society
Interpretable confidence measures for decision support systems
Decision support systems (DSS) have improved significantly but are more complex due to recent advances in Artificial Intelligence. Current XAI methods generate explanations on model behaviour to facilitate a user’s understanding, which incites trust in the DSS. However, little focus has been on the development of methods that establish and convey a system’s confidence in the advice that it provides. This paper presents a framework for Interpretab…
Simulated thoughts in virtual reality for negotiation training enhance self-efficacy and knowledge
A Feasibility Study of a Social Robot Collecting Patient Reported Outcome Measurements from Older Adults
Friendship with a robot
Integrating Robot Support Functions into Varied Activities at Returning Hospital Visits
Persistent progress in the self-management of their disease is important and challenging for children with diabetes. The European ALIZ-e project developed and tested a set of core functions for a social robot that may help to establish such progress. These functions were studied in different set-ups and with different groups of children (e.g. classmates at a school, or participants of a diabetes camp). This paper takes the lessons learned from th…
Child's culture-related experiences with a social robot at diabetes camps
This paper investigates the experiences of Italian and Dutch children while interacting with a social robot that is designed to support their diabetes self-management. Observations of children's behaviors and analyses of questionnaires at diabetes camps, showed positive experiences with variation (e.g., Italian children seemed to be more open and expressive, and more close to the robot compared to the Dutch children). A culture-aware robot should…
Child’s Perception of Robot’s Emotions
Persuasive robotic assistant for health self-management of older adults
Cognitive Support
The idea of aiding as cognitive support is to offer the user the knowledge he or she is missing. Recently, we developed a design method for aiding that is based on explicit requirements of the human problem solver. This proved to be able to supplement a lack of human knowledge in a statistical analysis task. In this article we extend the aiding concept to time-pressured tasks and we investigate whether aiding can supplement lack of knowledge and …
Persuasive robotic assistant for health self-management of older adults
Child’s Perception of Robot’s Emotions
A Feasibility Study of a Social Robot Collecting Patient Reported Outcome Measurements from Older Adults
Friendship with a robot
Explainable AI for all - A roadmap for inclusive XAI for people with cognitive disabilities
Artificial intelligence (AI) is increasingly prevalent in our daily lives, setting specific requirements for responsible development and deployment: The AI should be explainable and inclusive. Despite substantial research and development investment in explainable AI, there is a lack of effort into making AI explainable and inclusive to people with cognitive disabilities as well. In this paper, we present the first steps towards this research topi…
Child's culture-related experiences with a social robot at diabetes camps
This paper investigates the experiences of Italian and Dutch children while interacting with a social robot that is designed to support their diabetes self-management. Observations of children's behaviors and analyses of questionnaires at diabetes camps, showed positive experiences with variation (e.g., Italian children seemed to be more open and expressive, and more close to the robot compared to the Dutch children). A culture-aware robot should…
Cognitive Support
The idea of aiding as cognitive support is to offer the user the knowledge he or she is missing. Recently, we developed a design method for aiding that is based on explicit requirements of the human problem solver. This proved to be able to supplement a lack of human knowledge in a statistical analysis task. In this article we extend the aiding concept to time-pressured tasks and we investigate whether aiding can supplement lack of knowledge and …
Persuasive robotic assistant for health self-management of older adults
Child’s Perception of Robot’s Emotions
Integrating Robot Support Functions into Varied Activities at Returning Hospital Visits
Persistent progress in the self-management of their disease is important and challenging for children with diabetes. The European ALIZ-e project developed and tested a set of core functions for a social robot that may help to establish such progress. These functions were studied in different set-ups and with different groups of children (e.g. classmates at a school, or participants of a diabetes camp). This paper takes the lessons learned from th…
Child's culture-related experiences with a social robot at diabetes camps
This paper investigates the experiences of Italian and Dutch children while interacting with a social robot that is designed to support their diabetes self-management. Observations of children's behaviors and analyses of questionnaires at diabetes camps, showed positive experiences with variation (e.g., Italian children seemed to be more open and expressive, and more close to the robot compared to the Dutch children). A culture-aware robot should…
Friendship with a robot
A Feasibility Study of a Social Robot Collecting Patient Reported Outcome Measurements from Older Adults
Interpretable confidence measures for decision support systems
Decision support systems (DSS) have improved significantly but are more complex due to recent advances in Artificial Intelligence. Current XAI methods generate explanations on model behaviour to facilitate a user’s understanding, which incites trust in the DSS. However, little focus has been on the development of methods that establish and convey a system’s confidence in the advice that it provides. This paper presents a framework for Interpretab…
Simulated thoughts in virtual reality for negotiation training enhance self-efficacy and knowledge
Human-centered XAI
Much of the research on eXplainable Artificial Intelligence (XAI) has centered on providing transparency of machine learning models. More recently, the focus on human-centered approaches to XAI has increased. Yet, there is a lack of practical methods and examples on the integration of human factors into the development processes of AI-generated explanations that humans prove to uptake for better performance. This paper presents a case study of an…
Hybrid collective intelligence in a human–AI society
A Cloud-based Robot System for Long-term Interaction
Making the transition to long-term interaction with social-robot systems has been identified as one of the main challenges in human-robot interaction. This article identifies four design principles to address this challenge and applies them in a real-world implementation: cloud-based robot control, a modular design, one common knowledge base for all applications, and hybrid artificial intelligence for decision making and reasoning. The control ar…
Design patterns for human-AI co-learning
The rapid advancement of technology empowered by artificial intelligence is believed to intensify the collaboration between humans and AI as team partners. Successful collaboration requires partners to learn about each other and about the task. This human-AI co-learning can be achieved by presenting situations that enable partners to share knowledge and experiences. In this paper we describe the development and implementation of a task context an…
It Takes Two
While interacting with a social robot, children have a need to express themselves and have their expressions acknowledged by the robot—a need that is often unaddressed by the robot, due to its limitations in understanding the expressions of children. To keep the child-robot interaction manageable, the robot takes control, undermining children’s ability to co-regulate the interaction. Co-regulation is important for having a fulfilling social inter…
Role of emotions in responsible military AI
Explainable AI for all - A roadmap for inclusive XAI for people with cognitive disabilities
Artificial intelligence (AI) is increasingly prevalent in our daily lives, setting specific requirements for responsible development and deployment: The AI should be explainable and inclusive. Despite substantial research and development investment in explainable AI, there is a lack of effort into making AI explainable and inclusive to people with cognitive disabilities as well. In this paper, we present the first steps towards this research topi…
Generative AI-powered social robots in education
The rise of Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) is accelerating the integration of social robots into education. These technologies enhance robots' abilities in natural language interaction, adaptive behaviour, and personalised learning support. To advance real-world implementation, it is essential to identify the main challenges and opportunities in this field. We conducted a two-round Delphi study with 16…
Computer Science (14 works) · Artificial Intelligence (12 works) · Psychology (11 works) · Human–computer interaction (8 works) · Robot (8 works) · Social Robot Interaction and HRI (8 works) · AI in Service Interactions (5 works) · Engineering (5 works) · Knowledge management (5 works) · Mobile robot (5 works)