Developing Team Design Patterns for Hybrid Intelligence Systems

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 new ways of collaboration. However, there is not yet a structured way of specifying design solutions of...

Design patterns for human-AI co-learning: A wizard-of-Oz evaluation in an urban-search-and-rescue task

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...

Is Google making us smart? Health self-management for high performance employees and organisations

Globally, the burden of disease is rising. High performance employees and organisations need to improve their health self-management options and skills. Unfortunately, there are an overwhelming number (> 500,000) of new health publications every year. We aim to design a health AI on top of Scholar Google, to support rapid employee do-it...

A Design Pattern Language for Hybrid Intelligent Teams

The field of Hybrid Intelligence (HI) is like a vast land with many tribes that speak different languages. Our goal is to develop a lingua franca to unify the peoples of the HI land.We expect our language to facilitate documentation and communication of research results and thus collaboration among various HI fields by making use of design...

Human-centered XAI: Developing design patterns for explanations of clinical decision support systems

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...

Team design patterns for moral decisions in hybrid intelligent systems: A case study of bias mitigation

Increasing automation in the healthcare sector calls for a Hybrid Intelligence (HI) approach to closely study and design the collaboration of humans and autonomous machines. Ensuring that medical HI systems' decision-making is ethical is key. The use of Team Design Patterns (TDPs) can advance this goal by describing successful and reusable...

Health Literature Hybrid AI for Health Improvement: A Design Analysis for Diabetes & Hypertension

Increasingly, front runner patients and practitioners want to use state-of-the-art science for rapid lifestyle based cure of diseases of affluence. However, the number of new health studies per year (>500.000) is overwhelming. How to quickly assess state-of-the-art and use new opportunities for rapid patient DIY (Do-It-Yourself) health...

An Iterative Interaction-Design Method for Multi-Modal Robot Communication

The design space of human-robot interaction is large and multi-dimensional. A sound design requires a systematic theory-driven exploration, specification and refinement of design variables. There is a need for a practical method and tool to iteratively specify the content of the dialogue (e.g., speech acts) with the accompanying expressive...

Allocation of moral decision-making in human-agent teams: a pattern approach

Artificially intelligent agents will deal with more morally sensitive situations as the field of AI progresses. Research efforts are made to regulate, design and build Artificial Moral Agents (AMAs) capable of making moral decisions. This research is highly multidisciplinary with each their own jargon and vision, and so far it is unclear...

Using scaffolding to formalize digital coach support for low-literate learners

In this study, we attempt to specify the cognitive support behavior of a previously designed embodied conversational agent coach that provides learning support to low-literates. Three knowledge gaps are identified in the existing work: an incomplete specification of the behaviors that make up ‘support,’ an incomplete specification of how this...

Design and Development of a Physical and a Virtual Embodied Conversational Agent for Social Support of Older Adults

Populations in developed societies show an increasingly higher life expectancy across the globe. To support older adults to live longer and healthier lives in the familiar surroundings of their homes, technological developments, such as robots and avatars, have a great potential. To investigate long-term interactions between older adults and a ...

Designing a knowledge representation interface for cognitive agents

The design of cognitive agents involves a knowledge representation (KR) to formally represent and manipulate information relevant for that agent. In practice, agent programming frameworks are dedicated to a specific KR, limiting the use of other possible ones. In this paper we address the issue of creating a flexible choice for agent programmers...