4 citations · 5 across the 7 of their papers we have counts for
8 papers
Reach Into The CHOIR: Free-List Elicitation Uncovers Distinct Model Voices in LLM Ensembles
Ben Wigler, Maria Tsfasman
Open-ended LLM homogeneity can create false plurality when several systems appear to offer independent perspectives while returning the same familiar default. Single-pass answers o…
Stories of Your Life as Others: A Round-Trip Evaluation of LLM-Generated Life Stories Conditioned on Rich Psychometric Profiles
Ben Wigler, Maria Tsfasman, Tiffany Matej Hrkalovic
Personality traits are richly encoded in natural language, and large language models (LLMs) trained on human text can simulate personality when conditioned on persona descriptions.…
The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems?
Maria Tsfasman, Ramin Ghorbani, Catholijn M. Jonker +1
Humans have a selective memory, remembering relevant episodes and forgetting the less relevant information. Possessing awareness of event memorability for a user could help intelli…
Indeterminacy in Affective Computing: Considering Meaning and Context in Data Collection Practices
Bernd Dudzik, Tiffany Matej Hrkalovic, Chenxu Hao +2
Automatic Affect Prediction (AAP) uses computational analysis of input data such as text, speech, images, and physiological signals to predict various affective phenomena (e.g., em…
Introducing MeMo: A Multimodal Dataset for Memory Modelling in Multiparty Conversations
Maria Tsfasman, Bernd Dudzik, Kristian Fenech +3
Conversational memory is the process by which humans encode, retain and retrieve verbal, non-verbal and contextual information from a conversation. Since human memory is selective,…
Dynamics of Collective Group Affect: Group-level Annotations and the Multimodal Modeling of Convergence and Divergence
Navin Raj Prabhu, Maria Tsfasman, Catharine Oertel +2
Collaborating in a group, whether face-to-face or virtually, involves continuously expressing emotions and interpreting those of other group members. Therefore, understanding group…
The world seems different in a social context: a neural network analysis of human experimental data
Maria Tsfasman, Anja Philippsen, Carlo Mazzola +3
Human perception and behavior are affected by the situational context, in particular during social interactions. A recent study demonstrated that humans perceive visual stimuli dif…
Towards a Real-time Measure of the Perception of Anthropomorphism in Human-robot Interaction
Maria Tsfasman, Avinash Saravanan, Dekel Viner +5
How human-like do conversational robots need to look to enable long-term human-robot conversation? One essential aspect of long-term interaction is a human's ability to adapt to th…