2 citations · 3 across the 11 of their papers we have counts for
12 papers
Pseudo-Label Augmentation for Affect Sensing in Small Collaborative Groups
Meisam Jamshidi Seikavandi, Tanya Ignatenko, Fabricio Batista Narcizo +3
Physiological affect sensing in naturalistic group interaction is often limited by sparse labels rather than sensor data: wearable devices produce many time windows, while self-rep…
Atari Games Challenge: A Pilot Study on Multimodal Player Experience Assessment
Oleg Jarma Montoya, Erica Manca, Thomas Vase Schultz Volden +1
We present a pilot study on the collection and synchronisation of multimodal data for player experience investigation. We collected game telemetry, self-reported surveys, biometric…
Using Biometrics to Understand AI-Assisted Coding Performance and its Perception
Paolo Burelli, Fabio Calefato, Daniela Grassi +6
AI-based code assistants are transforming software development, yet we lack empirical evidence on how they affect developers' cognitive processes. We present a multisite study inve…
AffectAI-Capture: A Reproducible Multimodal Protocol for Small-Group Meeting Research
Meisam Jamshidi Seikavandi, Alice Modica, Anna Obara +6
We present AffectAI-Capture, a protocol for collecting synchronized multimodal data in four-person meeting-like interactions, combining eye tracking, wearable physiology, close-tal…
GroupAffect-4: A Multimodal Dataset of Four-Person Collaborative Interaction
Meisam Jamshidi Seikavandi, Alice Modica, Anna Obara +10
Existing affective-computing, social-signal-processing, and meeting corpora capture important parts of human interaction, but they rarely support analysis of affect in co-located g…
Modelling the Interplay of Eye-Tracking Temporal Dynamics and Personality for Emotion Detection in Face-to-Face Settings
Meisam J. Seikavandi, Jostein Fimland, Fabricio Batista Narcizo +5
Accurate recognition of human emotions is critical for adaptive human-computer interaction, yet remains challenging in dynamic, conversation-like settings. This work presents a per…
MuMTAffect: A Multimodal Multitask Affective Framework for Personality and Emotion Recognition from Physiological Signals
Meisam Jamshidi Seikavandi, Fabricio Batista Narcizo, Ted Vucurevich +2
We present MuMTAffect, a novel Multimodal Multitask Affective Embedding Network designed for joint emotion classification and personality prediction (re-identification) from short…
Advancing Face-to-Face Emotion Communication: A Multimodal Dataset (AFFEC)
Meisam J. Sekiavandi, Laurits Dixen, Jostein Fimland +5
Emotion recognition has the potential to play a pivotal role in enhancing human-computer interaction by enabling systems to accurately interpret and respond to human affect. Yet, c…
Exploring the Temporal Dynamics of Facial Mimicry in Emotion Processing Using Action Units
Meisam Jamshidi Seikavandi, Jostein Fimland, Maria Jung Barrett +1
Facial mimicry - the automatic, unconscious imitation of others' expressions - is vital for emotional understanding. This study investigates how mimicry differs across emotions usi…
Modeling Face Emotion Perception from Naturalistic Face Viewing: Insights from Fixational Events and Gaze Strategies
Meisam J. Seikavandi, Maria J. Barrett, Paolo Burelli
Face Emotion Recognition (FER) is essential for social interactions and understanding others' mental states. Utilizing eye tracking to investigate FER has yielded insights into cog…
Don't Get Too Excited -- Eliciting Emotions in LLMs
Gino Franco Fazzi, Julie Skoven Hinge, Stefan Heinrich +1
This paper investigates the challenges of affect control in large language models (LLMs), focusing on their ability to express appropriate emotional states during extended dialogue…
Modelling Emotions in Face-to-Face Setting: The Interplay of Eye-Tracking, Personality, and Temporal Dynamics
Meisam Jamshidi Seikavandi, Jostein Fimland, Maria Barrett +1
Accurate emotion recognition is pivotal for nuanced and engaging human-computer interactions, yet remains difficult to achieve, especially in dynamic, conversation-like settings. I…