The impact of expressing emotion within explainable AI in human-agent teamwork

With the increasing development of artificial intelligence (AI), there is a more significant opportunity for humans and agents to collaborate in teamwork. In Human-Agent Teamwork (HAT) settings, collaboration requires communication, and the agent displaying emotion can impact how human teammates communicate and work together with the agent. This...

Design Guidelines for Human-Agent Collaboration in a Painting Context: Authority, Autonomy, and Delegation

This project focuses on developing design guidelines for Human-Agent Collaboration around Authority, Autonomy, and Control in the outdoor painting context. While painting as an activity is something most of us have done and understand, working professionals have a sense of pride and skill in their motions that would be difficult to replace with...

Goal Ontology for Personalized Learning and Its Implementation in Child's Health Self-Management Support

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 interaction designs for the coaches and learners (respectively, a monitor-and-control dashboard and mobile...

NavAware: Data-centric design of a user-aware navigation agent for blind mobility

With the rise of digital technologies including artificial intelligence, machine learning, and sensor technologies, all the products we use every day are increasingly becoming ‘intelligent’. Machines, objects, and tools are slowly evolving into robots, objects-with-intent (Rozendaal et al., 2019), and agents. At the same time, their capabilities...

Leveraging Social Networks to Motivate Humans to Train Agents (Extended Abstract)

Learning from rewards generated by a human trainer ob- serving the agent in action has been demonstrated to be an effective method for humans to teach an agent to perform challenging tasks. However, how to make the agent learn most efficiently from these kinds of human reward is still under-addressed. In this paper, we investigate the effect of...