VLDB 2026 Research / reviewers in the wild / expert
Paola Palmitesta
dblp:282/9551
· DBLP profile ↗
4ranked-venue papers
0as first author
4since 2021 · last 2025
0000-0003-4505-3985ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 4 · 4 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | You look so young, you look so cute. The relationship between physical appearance, age and mental abilities in social robotsabstractThe study analyses differences in the perceived age, cuteness and mental abilities of robots displayed as 3D models in a VR setting, manipulating anthropomorphic variables such as height, head dimension, and limb length. Participants (N = 122) were randomly assigned to one of four experimental conditions where they interacted with a robot with a different combination of physical dimensions. The interactions took place in a CAVE – an immersive VR room, which allowed participants to directly perceive the dimensions of the robot. In the CAVE we collected from participants impressions about the robot using Likert scales and numeric input. After the interaction, they had to fill in a post-test questionnaire measuring their tendency to anthropomorphism, literacy about Artificial Intelligence, and sensitivity to cute stimuli. Results show that changes in the physical appearance of the robots affect the perception of their age. A small robot with an increased head-to-body ratio is also perceived to be cuter, and the tendency towards anthropomorphism is related to higher perceived levels of experience in the robot. Results thus may be considered relevant when developing robots for specific functions, such as serving adults or children activities, studies, or work. Stefano Guidi, Margherita Bracci, Francesco Currò, Alessandro Innocenti, Luca Lusuardi, Enrica Marchigiani, Paola Palmitesta, Matteo Sirizzotti, Oronzo Parlangeli |
Behav. Inf. Technol. | 7 |
| 2024 | Moral judgements of errors by AI systems and humans in civil and criminal lawabstractThe evaluation of the use of Artificial Intelligence (AI) in legal decisions still has unsolved questions. These may refer to the perceived degree of seriousness of the possible errors committed, the distribution of responsibility among the different decision-makers (human or artificial), and the evaluation of the error concerning its possible benevolent or malevolent consequences on the person sanctioned. Above all, assessing the possible relationships between these variables appears relevant. To this aim, we conducted a study through an online questionnaire (N = 288) where participants had to consider different scenarios in which a decision-maker, human or artificial, made an error of judgement for offences punishable by a fine (Civil Law infringement) or years in prison (Criminal Law infringement). We found that humans who delegate AIs are blamed less than solo humans, although the effect of decision maker was subtle. In addition, people consider the error more serious if committed by a human being when a sentence for a crime of the penal code is mitigated, and for an AI when a penalty for an infringement of the civil code is aggravated. The mitigation of the evaluation of seriousness for joint AI-human judgement errors suggests the potential for strategic scapegoating of AIs. Oronzo Parlangeli, Francesco Currò, Paola Palmitesta, Stefano Guidi |
Behav. Inf. Technol. | 3 |
| 2023 | Gender role stereotypes at work in humanoid robotsabstractResearch on gender role stereotypes activated in interactions with humanoid robots has yet to produce conclusive knowledge. To analyse how much, and in which way, gender role stereotypes used in interactions with humans are also called into play in interactions with humanoid robots, a study was conducted with 240 participants. The study was an online survey in which a scale was used for determining the appropriateness for performing four stereotypically masculine and four feminine by humans and robots. Overall, eight humanoid robots – four judged feminine and four masculine – were considered. Results showed that gender role stereotypes are activated for both genders, but men most strongly activate those pertaining to male roles. These stereotypes are also adopted in reference to humanoid robots, though robots are generally considered less suitable for performing female roles. Furthermore, an increased degree of similarity of robots to humans has a positive effect in assessing the appropriateness to perform female roles only for female robots. The same does not happen with male robots. These results suggest that male and female robots are not categorised in the same way. Robots are essentially perceived as male entities, a particularly relevant hypothesis for the gender-sensitive design of humanoid robots. Oronzo Parlangeli, Paola Palmitesta, Margherita Bracci, Enrica Marchigiani, Stefano Guidi |
Behav. Inf. Technol. | 2 |
| 2023 | The Perception of the Utility of Social Media by Caregivers of Persons with Autism Spectrum Disorders during a Period of Home QuarantineabstractAbstract During the COVID-19 pandemic, the use of social media offered a possible way to address the difficulties of social relationships for people with autism spectrum disorder (ASD), as well as a way to ease the problems of their caregivers. To gather information on the feasibility of this solution, we conducted an online questionnaire about the first lockdown period in Italy (March–May 2020) with 29 caregivers of ASD individuals. The questionnaire investigated their living conditions, the way time was spent during isolation, the availability of technological equipment, the perceived level of anxiety and the perceived utility of social media. The results showed that the difficulties of using social media had not been overcome, even at this time of greatest need. However, caregivers who take care of ASD people with high levels of anxiety perceived social media as more useful. This result invites further reflection on how to implement social media effectively for people with ASD. Stefano Guidi, Paola Palmitesta, Margherita Bracci, Enrica Marchigiani, Oronzo Parlangeli |
Interact. Comput. | 2 |