20 citations · 36 across the 7 of their papers we have counts for
7 papers
From psychological traits to safety warnings: three studies on recommendations in a smart home environment
Federica Cena, Cristina Gena, Claudio Mattutino +2
In this paper, we report on three experiments we have carried out in the context of the EMPATHY project, with the aim of helping users make better configuration choices in a smart…
Cloud-based user modeling for social robots: a first attempt
Marco Botta, Daniele Camilleri, Federica Cena +4
A social robot is an autonomous robot that interact with people by engaging in social emotive behaviors, skills, capacities, and rules attached to its collaborative role. In order…
Incorporating Personality Traits in User Modeling for EUD
Federica Cena, Cristina Gena, Claudio Mattutino +4
Personality traits such as Need for Cognition, Locus of Control, Mindset and Self-efficacy could impact the perception, acceptance and appreciation of recommendations provided to s…
Using consumer feedback from location-based services in PoI recommender systems for people with autism
Noemi Mauro, Liliana Ardissono, Stefano Cocomazzi +1
When suggesting Points of Interest (PoIs) to people with autism spectrum disorders, we must take into account that they have idiosyncratic sensory aversions to noise, brightness an…
User modeling for social and affective robots
Cristina Gena, Federica Cena, Marco Botta +1
This paper presents our first attempt to integrate user modeling features in social and affective robots. We propose a cloud-based architecture for modeling the user-robot interact…
Personalized Recommendation of PoIs to People with Autism
Noemi Mauro, Liliana Ardissono, Federica Cena
The suggestion of Points of Interest to people with Autism Spectrum Disorder (ASD) challenges recommender systems research because these users' perception of places is influenced b…
Should I Stay or Should I Go? Improving Event Recommendation in the Social Web
Federica Cena, Silvia Likavec, Ilaria Lombardi +1
This paper focuses on the recommendation of events in the Social Web, and addresses the problem of finding if, and to which extent, certain features, which are peculiar to events,…