Publications (11)
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…
Human brain activity for machine attention
Lukas Muttenthaler, Nora Hollenstein, Maria Barrett
Cognitively inspired NLP leverages human-derived data to teach machines about language processing mechanisms. Recently, neural networks have been augmented with behavioral data to…
Can Humans Identify Domains?
Maria Barrett, Max Müller-Eberstein, Elisa Bassignana +3
Textual domain is a crucial property within the Natural Language Processing (NLP) community due to its effects on downstream model performance. The concept itself is, however, loos…
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…
Analysing Differences in Persuasive Language in LLM-Generated Text: Uncovering Stereotypical Gender Patterns
Amalie Brogaard Pauli, Maria Barrett, Max Müller-Eberstein +2
Large language models (LLMs) are increasingly used for everyday communication tasks, including drafting interpersonal messages intended to influence and persuade. Prior work has sh…
Advancing NLP with Cognitive Language Processing Signals
Nora Hollenstein, Maria Barrett, Marius Troendle +3
When we read, our brain processes language and generates cognitive processing data such as gaze patterns and brain activity. These signals can be recorded while reading. Cognitive…