VLDB 2026 Research / reviewers in the wild / expert
Alex Barco
dblp:121/4144
· DBLP profile ↗
13ranked-venue papers
4as first author
3since 2021 · last 2026
0000-0002-7224-2186ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 13 · 4 first-author · 3 since 2021Artificial intelligence and machine learning · 8 · 4 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 5 · 1 first-author · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Robots as Social Companions? Investigating Longitudinal Companionship and Social Presence in Child-Robot InteractionabstractIn research on human-robot interaction (HRI), the Media are Social Actors (MASA) paradigm has received increasing attention. However, MASA is less explicit about longitudinal developments in social responses to media agents. MASA posits that social signals predict social responses to media agents. We examined specifically the longitudinal relationship between perceived companionship, as a social signal, and social presence toward a social robot, as a social response. Data from five waves of a panel study among 400 children aged 8 to 9 years were used. A consistent longitudinal relationship was not found. A cross-lagged panel model showed that, over time, perceived companionship positively predicted social presence about half of the time. Social presence, generally, did not predict greater perceived companionship over time. A random-intercept cross-lagged panel model with its separation of within- and between-subject processes demonstrated no consistent over-time relations. Over-time consistency of predictions of MASA may need further research. Navya N. Sharan, Jochen Peter, Jeroen S. Lemmens, Rinaldo Kühne, Chiara de Jong, Alex Barco |
Int. J. Hum. Comput. Interact. | 6 |
| 2024 | Children's Acceptance of a Domestic Social Robot: How It Evolves over TimeabstractLittle is known about children's long-term acceptance of social robots; whether different types of users exist; and what reasons children have not to use a robot. Moreover, the literature is inconclusive about how the measurement of children's robot acceptance (i.e., self-report or observational) affects the findings. We relied on both self-report and observational data from a six-wave panel study among 321 children aged eight to nine, who were given a Cozmo robot to play with at home over the course of 8 weeks. Children's robot acceptance decreased over time, with the strongest drop after 2–4 weeks. Children rarely rejected the robot (i.e., they did not stop using it already prior to actual adoption). They rather discontinued its use after initial adoption or alternated between using and not using the robot. The competition of other toys and lacking motivation to play with Cozmo emerged as the strongest reasons for not using the robot. Self-report measures captured patterns of robot acceptance well but seemed suboptimal for precise assessments of robot use. Chiara de Jong, Jochen Peter, Rinaldo Kühne, Alex Barco |
ACM Trans. Hum. Robot Interact. | 4 |
| 2021 | Exploring Children's Beliefs for Adoption or Rejection of Domestic Social Robots*abstractWith social robots entering the consumer market, there is a growing need to study child-robot interaction in a domestic environment. Therefore, the aim of this study was to explore children’s beliefs that underlie their intended adoption or rejection of a social robot for use in their homes. Based on a content analysis of data from 87 children, we found that hedonic beliefs (i.e., the belief that having a robot at home is pleasurable) were the most mentioned beliefs for domestic adoption of a social robot. More specifically, companionship was an often-mentioned hedonic belief. Social beliefs were rarely mentioned. If children mentioned beliefs for rejecting the robot, they often referred to family members and family composition. The findings of this exploratory study thus suggest that children’s hedonic beliefs play a central role in their intended adoption of a social robot in a domestic environment. Chiara de Jong, Jochen Peter, Rinaldo Kühne, Caroline L. van Straten, Alex Barco |
RO-MAN | 5 |
| 2020 | Intentional acceptance of social robots: Development and validation of a self-report measure for children
Chiara de Jong, Rinaldo Kühne, Jochen Peter, Caroline L. van Straten, Alex Barco |
Int. J. Hum. Comput. Stud. | 5 |
| 2020 | Transparency about a Robot's Lack of Human Psychological Capacities: Effects on Child-Robot Perception and Relationship FormationabstractThe increasing sophistication of social robots has intensified calls for transparency about robots’ machine nature. Initial research has suggested that providing children with information about robots’ mechanical status does not alter children's humanlike perception of, and relationship formation with, social robots. Against this background, our study experimentally investigated the effects of transparency about a robot's lack of human psychological capacities (intelligence, self-consciousness, emotionality, identity construction, social cognition) on children's perceptions of a robot and their relationship to it. Our sample consisted of 144 children aged 8 to 9 years old who interacted with the Nao robot in either a transparent or a control condition. Transparency decreased children's humanlike perception of the robot in terms of animacy, anthropomorphism, social presence, and perceived similarity. Transparency reduced child-robot relationship formation in terms of decreased trust, while children's feelings of closeness toward the robot were not affected. Caroline L. van Straten, Jochen Peter, Rinaldo Kühne, Alex Barco |
ACM Trans. Hum. Robot Interact. | 4 |
| 2019 | Teaching Social Robotics to Motivate Women into Engineering and Robotics CareersabstractWomen are underrepresented in robotics, and this may be partly due to the educational emphasis on mechanical applications rather than social applications of robotics. This study aimed to investigate whether teaching robotics using social robots increased girls' engagement compared to using more mechanical vex robots. 20 girls were recruited from school robotics classes. They were taught 30 minutes of VEX robotics and 30 minutes of social robotics in a counter-balanced order. Engagement was measured using questionnaires and observations. Results showed that girls were significantly more engaged in the social robot classes than the vex robot classes. This pilot study suggests a possible way to encourage more girls to study robotics. Alex Barco, Rhea Montgomery Walsh, Avram Block, Kate Loveys, Andrew J. McDaid, Elizabeth Broadbent |
HRI | 1 |
| 2019 | What Do Children Want from a Social Robot? Toward Gratifications Measures for Child-Robot InteractionabstractSocial robots have, in the case of children, rarely been studied from a uses-and-gratifications perspective. As social robots differ from more traditional media, the first aim of this study was to explore the gratifications that children seek and obtain from social robots. This was investigated in a study among 87 children. The second aim was to develop and initially validate measures for those gratifications. We studied this among a sample of 24 children. The measures for hedonic and social gratifications-obtained worked reasonably well. The measures for hedonic and informative gratifications-sought seemed problematic, whereas the others were acceptable. Our measures present a first step toward enabling future research on children's gratifications of social robots. Chiara de Jong, Rinaldo Kühne, Jochen Peter, Caroline L. van Straten, Alex Barco |
RO-MAN | 5 |
| 2018 | Technological and Interpersonal Trust in Child-Robot Interaction: An Exploratory StudyabstractThis study aimed to explore technological and interpersonal trust in interactions between children and social robots. Specifically, we focused on whether children distinguish between these two types of trust and whether the two constitute independent constructs or interact. Using an exploratory approach, we analyzed the explanations 87 children, aged 7 to 11 years, offered for the degree to which they indicated to trust a robot with which they had just interacted. Our results suggest that children distinguished between technological and interpersonal trust in a robot. Three main categories of answers could be identified: answers relating to technological trust, those indicating the presence of interpersonal trust, and a third category in which children referred to technological properties of robots as a reason for the existence of interpersonal trust. We discuss these findings in light of the development of child-robot relationships and the design of future child-robot interaction studies. Caroline L. van Straten, Jochen Peter, Rinaldo Kühne, Chiara de Jong, Alex Barco |
HAI | 5 |
| 2014 | Engagement based on a customization of an iPod-LEGO robot for a long-term interaction for an educational purposeabstractThe aims of the study presented in this paper are to find evidence that the customization of a robot increases the engagement interacting with it, and the adaptation of a non-social robotic platform like LEGO Robotics is possible. The study has been done with 7 years old children from primary school level that have been doing daily homework activities conducted by the robot during one month. Results showed us a higher interaction and adaptability to a social robot with the customization. Alex Barco, Jordi Albo-Canals, Carles Garriga |
HRI | 1 |
| 2014 | A drop-out rate in a long-term cognitive rehabilitation program through robotics aimed at children with TBIabstractThis paper describes in detail the robot platform used in a rehabilitation program for children with Traumatic Brain Injury (TBI) under a project to compare a rehabilitation program through robotics (1) with a conventional rehabilitation program directed to parents (2) and a control group where no specific intervention is done (3). As LEGO®has been demonstrated as a useful robotic tool able to enhance children motivation, we have used it attached to an iPod which includes several activities defined by neuropsychologists and customized for each patient. In this paper we present the hardware and the software of this robotic platform and also the description of the activities that have already been proposed to patients. We present results about the use of the robot showing that the drop-out rate is lower in the intervention group with robots than in the program directed to parents. Alex Barco, Jordi Albo-Canals, Carles Garriga, Xavier Vilasís-Cardona, Laura Callejón, Marc Turón, Claudia Gómez, Anna López-Sala |
RO-MAN | 1 |
| 2013 | A robotic therapy for children with TBI
Alex Barco, Jordi Albo-Canals, Miguel Kaouk Ng, Carles Garriga, Laura Callejón, Marc Turón, Claudia Gómez, Anna López-Sala |
HRI | 1 |
| 2013 | Comparing two LEGO Robotics-based interventions for social skills training with children with ASDabstractThis paper presents an analysis of two comparable studies with LEGO Robotics-based activities in a social skills training program for children with autism spectrum disorders (ASD). One study has been carried out with a group of 16 children in the Unit of Pediatrics Psychology and Psychiatry in HSJD in Barcelona, Spain and the other with a group of 17 children at the Center for Education and Engineering Outreach (Tufts U.) in Boston, USA. The aim of this comparison is discuss lessons learnt and develop empirical based guidelines for intervention design. Jordi Albo-Canals, Marcel Heerink, Marta Díaz, Vanesa Padillo, Marta Maristany, Alex Barco, Cecilio Angulo, Ariana Riccio, Lauren Brodsky, Simone Dufresne, Samuel Heilbron, Elissa Milto, Roula Choueiri, Daniel J. Hannon, Chris Rogers |
RO-MAN | 6 |
| 2012 | A field study with primary school children on perception of social presence and interactive behavior with a pet robotabstractThis paper presents a study on (1) how children experience a pet robot, (2) how they play with it and (3) how children's perceptions on and interaction with pet robots are interrelated. The study features different types of subjective and objective techniques to assess the degree of perceived social entity from self-reports (i.e. questionnaires) and observed behavior. Three short questionnaires and an ad hoc code scheme of 15 low-level micro-behaviors were developed. 28 scholars aged 8 to 12 were observed at school during a play period with a Pleo robot and asked to answer the questionnaires. We found that the different questionnaire based methods were in line each other. Therefore, anyone of them can be used to measure the experience of a social entity. Play analyses showed that the two most prevalent behaviors were clearly social: petting the robot and showing it objects to engage in interaction. Moreover, children spent on average less than one per cent of the session time treating the robot as an artifact. However, significant covariation between the experience of a social entity and observed behavior could not be established. Marcel Heerink, Marta Díaz, Jordi Albo-Canals, Cecilio Angulo, Alex Barco, Judit Casacuberta, Carles Garriga |
RO-MAN | 5 |