Filipa Correia

University of Lisbon | UL · Department of Informatics

Explainable artificial intelligence (XAI), known to produce explanations so that predictions from AI models can be understood, is commonly used to mitigate possible AI mistrust. The underlying premise is that the explanations of the XAI models enhance AI trust. However, such an increase may depend on many factors. This article examined how trust in...

Gaze cues have been extensively studied in human–robot interactions, revealing several positive effects from facilitating the turn-taking management in conversation to improving task performance. Nonetheless, little is known about the gaze behaviour of robots in multiparty team settings, and about its role in the coordination of the team. We propos...

During the past two decades, robots have been increasingly deployed in games. Researchers use games to better understand human-robot interaction and, in turn, the inclusion of social robots during gameplay creates new opportunities for novel game experiences. The contributions from social robotics and games communities cover a large spectrum of res...

Creating effective teamwork between humans and robots involves not only addressing their performance as a team but also sustaining the quality and sense of unity among teammates, also known as cohesion. This paper explores the research problem of: how can we endow robotic teammates with social capabilities to improve the cohesive alliance with huma...

As routinely working with robots spreads globally, it becomes important to understand how best to customize robots to each culture to maximize collaboration between humans and robots. In two distinct cultures (United States and Portugal) we examined group-based emotions toward robots with participants self-categorizing three different ways (ingroup...

This paper describes a social robotic game player that is able to successfully play a team card game called Sueca. The question we will address in this paper is: how can we build a social robot player that is able to balance its ability to play the card game with natural and social behaviours towards its partner and its opponents. The first challen...

Understanding how to design agents that sustain cooperation in multi-agent systems has been a long-lasting goal in distributed artificial intelligence. Proposed solutions rely on identifying free-riders and avoiding cooperating or interacting with them. These mechanisms of social control are traditionally studied in games with linear and determinis...

In this paper, we aim to increase the understanding of human-robot interaction by considering the goal orientation displayed by the robot (i.e., competitive vs. cooperative) and the role displayed by each player (partner vs. opponent) in an entertainment group scenario. Sixty participants engaged in a card game called Sueca (two robots and two huma...

This paper explores how robotic teammates can enhance and promote cooperation in collaborative settings. It presents a user study in which participants engaged with two fully autonomous robotic partners to play a game together, named “For The Record”, a variation of a public goods game. The game is played for a total of five rounds and in each of t...

Transparency in the field of human-machine interaction and artificial intelligence has seen a growth of interest in the past few years. Nonetheless, there are still few experimental studies on how transparency affects teamwork, in particular in collaborative situations where the strate- gies of others, including agents, may seem obscure. We explore...

For The Record is a digital game that involves a social dilemma between a mixed team of humans and agents. Inspired by the standard public goods games, the collective goal is accessible to all team members, independently of their individual contributions. As a result, each player faces in each round the decision between cooperating with the team an...

Understanding how to design agents that sustain cooperation in multi-agent systems has been a long lasting goal in distributed Artificial Intelligence. Solutions proposed rely on identifying defective agents and avoid cooperating or interacting with them. These mechanisms of social control are traditionally studied in games with linear and determin...

This PhD project aims at investigating how a social robot can adapt its behaviours to the group members in order to achieve more positive group dynamics, which we identify as group intelligence. This goal is supported by our previous work, which contains relevant data and insightful results to the understanding of group interactions between humans...

In this paper, we sought to understand how the display of different levels of warmth and competence, as well as, different roles (opponent versus partner) portrayed by a robot, affect the display of emotional responses towards robots and how they can be used to predict future intention to work. For this purpose, we devised an entertainment card-gam...

This paper explores the role of prosocial behaviour when people team up with robots in a collaborative game that presents a social dilemma similar to a public goods game. An experiment was conducted with the proposed game in which each participant joined a team with a prosocial robot and a selfish robot. During 5 rounds of the game, each player cho...

Although groups of robots are expected to interact with groups of humans in the near future, research related to teams of humans and robots is still scarce. This paper contributes to the study of human–robot teams by describing the development of two autonomous robotic partners and by investigating how humans choose robots to partner with in a mult...

VIDEO: http://gaips.tagus.ist.utl.pt/~fcorreia/assetsVideoFinal.mp4 Our goal is to disseminate an exploratory investigation that examined how physical presence and collaboration can be important factors in the development of assistive robots that can go beyond information-giving technologies. In particular, this video exhibits the setting and proc...

Blind people rely on sighted peers and different assistive technologies to accomplish everyday tasks. In this paper, we explore how assistive robots can go beyond information-giving assistive technologies (e.g., screen readers) by physically collaborating with blind people. We first conducted a set of focus groups to assess how blind people perceiv...

In this paper we study the influence of a hand- shake in the human emotional bond to a robot. In particular we evaluate the human willingness to help a robot whether the robot first introduces itself to the human with or without a handshake. In the tested paradigm the robot and the human have to perform a joint task, but at a certain stage the robo...

With the growing interest on human-robot collaboration, the development of robotic partners that we can trust has to consider the impact of error situations. In particular, human-robot trust has been pointed as mainly affected by the performance of the robot and as such, we believe that in a collaborative setting, trust towards a robotic partner ma...

Robots are entering not only our workplace but also our homes. Research in Human–Robot Interaction (HRI) is growing exponentially, with many systems and studies evaluating the acceptance of robots in different contexts and among different populations. Robots are now perceived as machines that not only will support humans in specific tasks, but will...

Stereotypes play a key role both in human and in robot perception. As such, these may play an important role in predicting behavior towards the targets of said stereotypes. In this paper, we argue for the usefulness of exploring how stable dimensions of stereotype content, more speciically warmth and competence, apply to HRI. We propose to do so by...

This project aims to investigate how stable content dimensions of stereotypes can affect Human-Robot interaction in groups. More specifically, we focus on perceived warmth and competence as dimensions of stereotypes around which the individual organizes their perception about the other. We aim to explore how the aforementioned dimensions play a rol...

This study investigated non-verbal behavior and socioemotional interactions in small-groups of humans and robots. Sixty-participants were involved in a group setting in which they were required to play a card game with another human and two robots (playing as partners or as opponents). The two robots displayed different goal orientations: a competi...

Providing social robots an internal model of emotions can help them guide their behaviour in a more humane manner by simulating the ability to feel empathy towards others. Furthermore, the growing interest in creating robots that are capable of collaborating with other humans in team settings provides an opportunity to explore another side of human...

This paper describes a social robotic game player that is able to successfully play a team card game called Sueca. The question we will address in this paper is: how can we build a social robot player that is able to balance its ability to play the card game with natural and social behaviours towards its partner and its opponents. The first challen...

This paper describes the AMIGOS project that is investigating the role of social interactions, emotions and adaptation in robots interacting over long periods with a group of users, thus contrasting to the typical one robot one-user paradigm in Human-Robot Interaction (HRI). In this paper, we present the initial work of the AMIGOS project and descr...

Robots are currently being developed to enter our lives and interact with us in different tasks. For humans to be able to have a positive experience of interaction with such robots, they need to trust them to some degree. In this paper, we present the development and evaluation of a social robot that was created to play a card game with humans, pla...

In this video we present a social robotic player that is able to play a traditional card game in a social manner. The interaction takes place in a rich environment in which two teams of two players each compete to win the card game. Therefore, the robotic game player has a partner, and an opponent team of two other players. During each game, the ro...

The computational complexity of some card games attract the interest of Artificial Intelligence (AI) researchers. Their main challenge is to deal with hidden information, nonetheless recent approaches start to overcome this problem, such as Monte-Carlo Methods. On the other hand, the strong social component every multi-player game presents can also...

According to the United Nations World Population Prospects, the world's population is aging. Older adults constitute a fragile part of society, as aging is always accompanied by major psychological and physical challenges. A way to cope with those challenges is to strive for a good Quality of Life (QoL) and contribute to successful aging. Social ro...