Mark A. Neerincx
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View article: Reinforcement learning for proposing smoking cessation activities that build competencies: Combining two worldviews in a virtual coach
Reinforcement learning for proposing smoking cessation activities that build competencies: Combining two worldviews in a virtual coach Open
Background Reaching personal goals typically requires building competencies (e.g., insights into personal strengths), but expert health professionals and non-expert clients often think differently about which competencies are needed. Just …
View article: Social AI for a Healthier Lifestyle: Four Competencies to Manage and Prevent Chronic Diseases
Social AI for a Healthier Lifestyle: Four Competencies to Manage and Prevent Chronic Diseases Open
Lifestyle-related diseases like type 2 diabetes mellitus (T2DM) and chronic obstructive pulmonary disease (COPD), have a major impact on society, asking for comprehensive disease management support. While AI technology has advanced for dia…
View article: Advancing Human-Machine Teaming: Definitions, Challenges, Future Directions
Advancing Human-Machine Teaming: Definitions, Challenges, Future Directions Open
Humans and intelligent machines increasingly collaborate on complex tasks, although significant challenges remain before machines can function as effective teammates. The human-machine teaming research community attempts to address these c…
View article: Advanced RAG-LLM Prototype AI on PubMed for Cardiac Health
Advanced RAG-LLM Prototype AI on PubMed for Cardiac Health Open
Healthy lifestyle behaviours are effective in preventing and treating cardiovascular disease. However, the growing body of scientific literature and the prevalence of conflicting studies make it challenging for healthcare practitioners and…
View article: User Experiences With Digital Future-Self Interventions in the Contexts of Smoking and Physical Inactivity: Mixed Methods Multistudy Exploration
User Experiences With Digital Future-Self Interventions in the Contexts of Smoking and Physical Inactivity: Mixed Methods Multistudy Exploration Open
Background Smoking and physical inactivity compromise health, especially in combination. Interventions to promote smoking cessation and increased physical activity (PA) often lack impact, especially in the long term. Digital future-self in…
View article: The Influence of Interdependence on Trust Calibration in Human-Machine Teams
The Influence of Interdependence on Trust Calibration in Human-Machine Teams Open
In human-machine teams, the strengths and weaknesses of both team members result in dependencies, opportunities, and requirements to collaborate. Managing these interdependence relationships is crucial for teamwork, as it is argued that th…
View article: Designing and Evaluating an LLM-based Health AI Research Assistant for Hypertension Self-Management; Using Health Claims Metadata Criteria
Designing and Evaluating an LLM-based Health AI Research Assistant for Hypertension Self-Management; Using Health Claims Metadata Criteria Open
Hypertension is a condition affecting most people over 45 years old. Health Self-Management offers many opportunities for prevention and cure. However, most scientific health literature is unknown by health professionals and/or patients. P…
View article: Meaningful human control and variable autonomy in human-robot teams for firefighting
Meaningful human control and variable autonomy in human-robot teams for firefighting Open
Introduction: Humans and robots are increasingly collaborating on complex tasks such as firefighting. As robots are becoming more autonomous, collaboration in human-robot teams should be combined with meaningful human control. Variable aut…
View article: Hypertension Self-Management Success in 2 Weeks; 3 Pilot Studies
Hypertension Self-Management Success in 2 Weeks; 3 Pilot Studies Open
Hypertension Self-Management is more powerful when done in groups, and with daily (e)Support for maximum impact. Small intervention groups enable high degrees of personalization, interaction, and learning. We compare three Self-Management …
View article: Modelling prospective memory and resilient situated communications via Wizard of Oz
Modelling prospective memory and resilient situated communications via Wizard of Oz Open
This abstract presents a scenario for human-robot action in a home setting involving an older adult and a robot. The scenario is designed to explore the envisioned modelling of memory for communication with a socially assistive robots (SAR…
View article: Goal Ontology for Personalized Learning and Its Implementation in Child's Health Self-Management Support
Goal Ontology for Personalized Learning and Its Implementation in Child's Health Self-Management Support Open
Intelligent tutoring systems need a model of learning goals for the personalization of educational content, tailoring of the learning path, progress monitoring, and adaptive feedback. This article presents such a model and corresponding in…
View article: Child’s Personality and Self-Disclosures to a Robot Persona “In-The-Wild”
Child’s Personality and Self-Disclosures to a Robot Persona “In-The-Wild” Open
Social robots can support children in their socio-emotional development [38]. To improve the cooperation between a child and a social robot, a good relationship is vital. Self-disclosure is an essential element for building personal relati…
View article: A Machine with Short-Term, Episodic, and Semantic Memory Systems
A Machine with Short-Term, Episodic, and Semantic Memory Systems Open
Inspired by the cognitive science theory of the explicit human memory systems, we have modeled an agent with short-term, episodic, and semantic memory systems, each of which is modeled with a knowledge graph. To evaluate this system and an…
View article: Developing Team Design Patterns for Hybrid Intelligence Systems
Developing Team Design Patterns for Hybrid Intelligence Systems Open
With artificial intelligence (AI) systems entering our working and leisure environments with increasing adaptation and learning capabilities, new opportunities arise for developing hybrid (human-AI) intelligence (HI) systems, comprising ne…
View article: Designing for Meaningful Human Control in Military Human-Machine Teams
Designing for Meaningful Human Control in Military Human-Machine Teams Open
We propose methods for analysis, design, and evaluation of Meaningful Human Control (MHC) for defense technologies from the perspective of military human-machine teaming (HMT). Our approach is based on three principles. Firstly, MHC should…
View article: It Takes Two: Using Co-creation to Facilitate Child-Robot Co-regulation
It Takes Two: Using Co-creation to Facilitate Child-Robot Co-regulation Open
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 o…
View article: Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior
Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior Open
Despite their prevalence in eHealth applications for behavior change, persuasive messages tend to have small effects on behavior. Conditions or states (e.g., confidence, knowledge, motivation) and characteristics (e.g., gender, age, person…
View article: Human- or Machine-like Music Assistive Robots Effects on Fluency and Memory Recall
Human- or Machine-like Music Assistive Robots Effects on Fluency and Memory Recall Open
Assistive robots are expected to contribute to the solution of major societal problems in healthcare, such as the increasing number of elderly who need informal and professional care over a long period of time. Most of the research focuses…