28 citations · 51 across the 14 of their papers we have counts for
15 papers
How Different, or Different How? Stance Granularity in Viewpoint Selection for Dialog Systems that Engage Users with Alternative Views
Morita Tarvirdians, Reeve Lorena, Catharine Oertel
Systems that aim to help a user engage with viewpoints other than their own have to decide how different those viewpoints should be. Viewpoints are mainly represented on a scalar s…
Why This and Not That? A Collaborative Reflection Approach for Understanding Thought Coverage in Decision Making Support Dialog
Morita Tarvirdians, Hayley Hung, Catharine Oertel
Conversational agents that support reflection for decision-making often rely on adaptive dialog policies that map observed user behavior to actions such as probing, deepening, or r…
Reflecti-Mate: A Conversational Agent for Adaptive Decision-Making Support Through System 1 and System 2 Thinking
Morita Tarvirdians, Senthil Chandrasegaran, Hayley Hung +2
Making high-stakes personal decisions involves cognitive, emotional, and intuitive processes, and individuals differ in how they allocate attention across these modes. Integration…
What makes an Expert? Comparing Problem-solving Practices in Data Science Notebooks
Manuel Valle Torre, Marcus Specht, Catharine Oertel
The development of data science expertise requires tacit, process-oriented skills that are difficult to teach directly. This study addresses the resulting challenge of empirically…
LLM Chatbots in High School Programming: Exploring Behaviors and Interventions
Manuel Valle Torre, Marcus Specht, Catharine Oertel
This study uses a Design-Based Research (DBR) cycle to refine the integration of Large Language Models (LLMs) in high school programming education. The initial problem was identifi…
Reflection Before Action: Designing a Framework for Quantifying Thought Patterns for Increased Self-awareness in Personal Decision Making
Morita Tarvirdians, Senthil Chandrasegaran, Hayley Hung +2
When making significant life decisions, people increasingly turn to conversational AI tools, such as large language models (LLMs). However, LLMs often steer users toward solutions,…
JELAI: Integrating AI and Learning Analytics in Jupyter Notebooks
Manuel Valle Torre, Thom van der Velden, Marcus Specht +1
Generative AI offers potential for educational support, but often lacks pedagogical grounding and awareness of the student's learning context. Furthermore, researching student inte…
What Can You Say to a Robot? Capability Communication Leads to More Natural Conversations
Merle M. Reimann, Koen V. Hindriks, Florian A. Kunneman +3
When encountering a robot in the wild, it is not inherently clear to human users what the robot's capabilities are. When encountering misunderstandings or problems in spoken intera…
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 Sequence Matters in Learning -- A Systematic Literature Review
Manuel Valle Torre, Catharine Oertel, Marcus Specht
Describing and analysing learner behaviour using sequential data and analysis is becoming more and more popular in Learning Analytics. Nevertheless, we found a variety of definitio…
A Survey on Dialogue Management in Human-Robot Interaction
Merle M. Reimann, Florian A. Kunneman, Catharine Oertel +1
As social robots see increasing deployment within the general public, improving the interaction with those robots is essential. Spoken language offers an intuitive interface for th…
Perceived personality state estimation in dyadic and small group interaction with deep learning methods
Kristian Fenech, Ádám Fodor, Sean P. Bergeron +3
Dyadic and small group collaboration is an evolutionary advantageous behaviour and the need for such collaboration is a regular occurrence in day to day life. In this paper we esti…
Impact of annotation modality on label quality and model performance in the automatic assessment of laughter in-the-wild
Jose Vargas-Quiros, Laura Cabrera-Quiros, Catharine Oertel +1
Laughter is considered one of the most overt signals of joy. Laughter is well-recognized as a multimodal phenomenon but is most commonly detected by sensing the sound of laughter.…
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…