Alessandra Rossi

Alessandra Rossi
University of Naples Federico II | UNINA

PhD in Robotics
Postdoctoral researcher at the University of Naples Federico II

About

33
Publications
4,248
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169
Citations

Publications

Publications (33)
Preprint
The aim of this workshop is to foster the exchange of insights on past and ongoing research towards effective and long-lasting collaborations between humans and robots. This workshop will provide a forum for representatives from academia and industry communities to analyse the different aspects of HRI that impact on its success. We particularly foc...
Preprint
Full-text available
BRILLO (Bartending Robot for Interactive Long-Lasting Operations) project has the overall goal of creating an autonomous robotic bartender that can interact with customers while accomplishing its bartending tasks. In such a scenario, people's novelty effect connected to the use of an attractive technology is destined to wear off and, consequently,...
Article
Full-text available
The design of natural human–robot dynamics is a key aspect for ensuring a successful and efficient lasting human–robot interaction (HRI). In particular, it is expected that a robot deployed in human populated environments not only needs to be able to successfully complete a task, but also needs to show social intelligence to engage people in effect...
Chapter
The aim of this work is to understand how individuals’ personality differences affect their interaction with robots considering the robots expressed personalities and their occupational roles. For this purpose, we analysed the link between the degree of extroversion/introversion of the user and the one expressed by the robot during two different ta...
Chapter
Full-text available
In this study, we employed Furhat to investigate how people attribute gender to a robot and whether the attribution of gender might elicit stereotypes already at a first impression. We involved 223 participants in an online study and asked them to rate 15 of Furhat’s predefined faces in terms of femininity, masculinity, communion, and agency, and i...
Chapter
Full-text available
Effective and successful interactions between robots and people are possible only when they both are able to infer the other’s intentions, beliefs, and goals. In particular, robots’ mental models need to be transparent to be accepted by people and facilitate the collaborations between the involved parties. In this study, we focus on investigating h...
Conference Paper
Personalised experiences with service robots positively affect people’s perception of the robot and, consequently, foster the success of the interaction. This implies that people need to share their personal information with the robot, which could let people feel uneasy when such interactions happen in public spaces or in the presence of strangers....
Preprint
This workshop aimed for a deeper exploration of trust and acceptance in human-robot interaction (HRI) from a multidisciplinary perspective including robots' capabilities of sensing and perceiving other agents, the environment, and human-robot dynamics. The workshop was held online in conjunction with IEEE RO-MAN 2021 (see https://ro-man2021.org/)....
Preprint
Full-text available
This paper introduces benefits and detriments of a robot bartender that is capable of adapting the interaction with human users according to their preferences in drinks, music, and hobbies. We believe that a personalised experience during a human-robot interaction increases the human user's engagement with the robot and that such information will b...
Preprint
The aim of this workshop is to give researchers from academia and industry the possibility to discuss the inter-and multi-disciplinary nature of the relationships between people and robots towards effective and long-lasting collaborations. This workshop will provide a forum for the HRI and robotics communities to explore successful human-robot inte...
Article
Full-text available
Some applications of service robots within domestic and working environments are envisaged to be a significant part of our lives in the not too distant future. They are developed to autonomously accomplish different tasks either on behalf of or in collaboration with a human being. Robots can perceive and interpret data from the external environment...
Chapter
Trust has been established to be a key factor in fostering human-robot interactions. However, trust can change overtime according to different factors, including a breach of trust due to a robot’s error. In this exploratory study, we observed people’s interactions with a companion robot in a real house, adapted for human-robot interaction experimen...
Conference Paper
Full-text available
As we expect that the presence of autonomous robots in our everyday life will increase, we must consider that people will have not only to accept robots to be a fundamental part of their lives, but they will also have to trust them to reliably and securely engage them in collaborative tasks. Several studies showed that robots are more comfortable i...
Chapter
Full-text available
Identifying the roles and the specific social behaviours that evoke human trust towards robots is key for user acceptance. Specially, while performing tasks in the real world, such as navigation or guidance, the predictability of robot motion and predictions of user intentions facilitate interaction. We present a user study in which a humanoid-robo...
Preprint
Full-text available
We participated in the RoboCup 2018 competition in Montreal with our newly developed BoldBot based on the Darwin-OP and mostly self-printed custom parts. This paper is about the lessons learnt from that competition and further developments for the RoboCup 2019 competition. Firstly, we briefly introduce the team along with an overview of past achiev...
Conference Paper
Full-text available
This work investigates how human awareness about a social robot's capabilities is related to trusting this robot to handle different tasks. We present a user study that relates knowledge on different quality levels to participant's ratings of trust. Secondary school pupils were asked to rate their trust in the robot after three types of exposures:...
Article
Full-text available
Humans should be able to trust that they can safely interact with their home companion robot. However, robots can exhibit occasional mechanical, programming or functional errors. We hypothesise that the severity of the consequences and the timing of a robot’s different types of erroneous behaviours during an interaction may have different impacts o...
Conference Paper
Full-text available
The University of Hertfordshire aims to support a research-rich environment that informs teaching. As part of the University's strategic plan it would like to encourage students to develop an understanding of the history and role of research in computer science. In all of our computer science degrees at the University we teach a module called Conte...
Conference Paper
Full-text available
As robots increasingly take part in daily living activities, humans will have to interact with them in domestic and other human-oriented environments. We can expect that domestic robots will exhibit occasional mechanical, programming or functional errors, as occur with other electrical consumer devices. For example, these errors could include softw...
Conference Paper
Full-text available
Trust is a key factor in human users’ acceptance of robots in a home or human oriented environment. Humans should be able to trust that they can safely interact with their robot. Robots will sometimes make errors, due to mechanical or functional failures. It is therefore important that a domestic robot should have acceptable interactive behaviours...
Conference Paper
Full-text available
In an era in which robots take a part in our lives in daily living activities, humans have to trust robots in home environments. We aim to create guidelines that allow humans to trust robots to be able to look after their well-being by adopting human-like behaviours. We want to study a Human-Robot Interaction (HRI) to assess whether a certain degre...
Article
Single-human supervision of collaborative sem-iautonomous multi-robot teams is recently getting the attention of the robotic community. In this context, the adoption of a growing number of robots does not necessarily produce a gain in performance, due to the increased workload of the human supervisor. However, enabling human operators to communicat...
Conference Paper
Decision-making activities in planning a city visit typically include a pre–visit hunt for information. Hence, users spend the most of the time consulting web portals in the pre–trip phase. The possibility of obtaining social media data and providing user-generated content are powerful tools for help users in the decision process. In this work, we...
Chapter
The problem of allocating tasks to a team of robots composing a complex activity with global performance constraints to be met, is NP-hard. Automated negotiation was proposed as a viable heuristic approach allowing for the dynamic adjustment of the performance levels provided by the single robots in the case of robots with limited resources. This a...
Article
In the last years, we assisted to an increase of healthcare facilities based on the adoption of robotic devices in patients daily life scenarios. In these contexts, the time needed to monitor the patients' state is a crucial issue in order to limit the occurrence of emergencies. For this reason, the adoption of multi-robot systems (MRSs) allowing t...

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Projects

Projects (3)
Project
This project gathers research focused on understanding: (1) how humans attribute social categories, such as age and gender, to humanoid robots; (2) which roles, contexts, behaviors, and physical cues guide the social categorization of humanoid robots, and (3) if and how the way we design social categories for humanoid robots or the way we attribute such categories to them is informed by stereotypes and biases existing in society at large.
Project
SECURE is a new Marie Skłodowska-Curie Action funded by the European Commission. It's aim is to train roboticists and research fellows on the cognitive and interaction level of robot safety. These fellows should then be able to cope with the new challenges for safety that come with the increased complexity in human work and living spaces. They also need to be familiar with safety concepts and solutions for a multitude of robotic platforms. Therefore, the SECURE network aims to train fellows on innovative scientific and technological requirements for safe human-robot interaction and will employ several of the currently best robot platforms in Europe. The fellows are trained at six partner institutions in Europe and are supported by another five associated partners, ranging from large-scale international industrial partners to small enterprises, thus providing an optimal training environment for young researchers. Official website: http://secure-robots.eu/