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GroupRelated publications (135)
Secure Interface Design Leveraging Hardware/Software Support
Computer systems rely heavily on abstraction to manage the exponential growth of complexity across hardware and software. Due to practical considerations of compatibility between components of these complex systems across generations, developers have favou ...
EPFL2024Emotions in Engineering Education
Contrary to common stereotypes, engineering education and practice are not purely rational activities. Emotions, just like cognition, play important roles in teaching, learning, and professional practice. Today, there is a nascent body of research explorin ...
Routledge2023Dynamic Personalized Ranking
Personalized ranking methods are at the core of many systems that learn to produce recommendations from user feedbacks. Their primary objective is to identify relevant items from very large vocabularies and to assist users in discovering new content. These ...
EPFL2022PEACE: A Model of Key Social and EmotionalQualities of Conversational Chatbots
Pearl Pu Faltings, Ekaterina Svikhnushina
Open-domain chatbots engage with users in natural conversations to socialize and establish bonds. However, designing and developing an effective open-domain chatbot is challenging. It is unclear what qualities of a chatbot most correspond to users' expecta ...
ASSOC COMPUTING MACHINERY2022Emotion Recognition in a Multi-Componential Framework: The Role of Physiology
Maëlan Quentin Menétrey, Gelareh Mohammadi
The Component Process Model is a well-established framework describing an emotion as a dynamic process with five highly interrelated components: cognitive appraisal, expression, motivation, physiology and feeling. Yet, few empirical studies have systematic ...
FRONTIERS MEDIA SA2022Predicting emotional response to visual stimuli, a machine learning approach
We created an emotion predicting model capable of predicting emotions in images using OpenAI CLIP as a backbone. Using the ArtEmis dataset which contains 80K paintings annotated on the base of perceived emotions (amusement, fear, etc..). We show that this ...
2022User Expectations of Conversational Chatbots Based on Online Reviews
Pearl Pu Faltings, Ekaterina Svikhnushina, Alexandru Placinta
Open-domain chatbots that can engage in a conversation on any topic received significant attention in the last several years, which opened opportunities for studying user interaction with them. Drawing from reviews of chatbots posted on Google Play, we exp ...
ASSOC COMPUTING MACHINERY2021Multi-Step Critiquing User Interface for Recommender Systems
Boi Faltings, Diana Andreea Petrescu, Diego Matteo Antognini
Recommendations with personalized explanations have been shown to increase user trust and perceived quality and help users make better decisions. Moreover, such explanations allow users to provide feedback by critiquing them. Several algorithms for recomme ...
ASSOC COMPUTING MACHINERY2021Key Qualities of Conversational Chatbots - the PEACE Model
Pearl Pu Faltings, Ekaterina Svikhnushina
Open-domain chatbots engage in natural conversations with the user to socialize and establish bonds. However, designing and developing an effective open-domain chatbot is challenging. It is unclear what qualities of such chatbots most correspond to users' ...
ASSOC COMPUTING MACHINERY2021Interacting with Explanations through Critiquing
Boi Faltings, Claudiu-Cristian Musat, Diego Matteo Antognini
Using personalized explanations to support recommendations has been shown to increase trust and perceived quality. However, to actually obtain better recommendations, there needs to be a means for users to modify the recommendation criteria by interacting ...
2021