Searched for: author%3A%22Broekens%2C+D.J.%22
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Dudzik, B.J.W. (author), Hung, H.S. (author), Neerincx, M.A. (author), Broekens, D.J. (author)
In this article we introduce Mementos: the first multimodal corpus for computational modeling of affect and memory processing in response to video content. It was collected online via crowdsourcing and captures 1995 individual responses collected from 297 unique viewers responding to 42 different segments of music videos. Apart from webcam...
journal article 2023
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Moerland, T.M. (author), Broekens, D.J. (author), Plaat, Aske (author), Jonker, C.M. (author)
Sequential decision making, commonly formalized as Markov Decision Process (MDP) optimization, is an important challenge in artificial intelligence. Two key approaches to this problem are reinforcement learning (RL) and planning. This survey is an integration of both fields, better known as model-based reinforcement learning. Model-based RL...
review 2023
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Rijgersberg, R.M. (author), Vught, Willeke van (author), Broekens, D.J. (author), Neerincx, M.A. (author)
Intelligent tutoring systems need a model of learning goals for the personalization of educational content, tailoring of the learning path, progress monitoring, and adaptive feedback. This article presents such a model and corresponding interaction designs for the coaches and learners (respectively, a monitor-and-control dashboard and mobile...
journal article 2023
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Moerland, Thomas M. (author), Broekens, D.J. (author), Plaat, Aske (author), Jonker, C.M. (author)
Sequential decision making, commonly formalized as optimization of a Markov Decision Process, is a key challenge in artificial intelligence. Two successful approaches to MDP optimization are reinforcement learning and planning, which both largely have their own research communities. However, if both research fields solve the same problem,...
journal article 2022
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Pieras Sagardoy, M. (author), Marroquim, Ricardo (author), Broekens, D.J. (author), Eisemann, E. (author), Vilanova, A. (author)
During training sessions, sailors rely on feedback provided by the coaches to reinforce their skills and improve their performance. Nowadays, the incorporation of sensors on the boats enables coaches to potentially provide more informed feedback to the sailors. A common exercise during practice sessions, consists of two boats of the same...
journal article 2022
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Kaptein, F.C.A. (author), Kiefer, Bernd (author), Cully, Antoine (author), Celiktutan, Oya (author), Bierman, Bert (author), Rijgersberg-Peters, Rifca (author), Broekens, D.J. (author), Van Vught, Willeke (author), Van Bekkum, Michael (author), Demiris, Yiannis (author), Neerincx, M.A. (author)
Making the transition to long-term interaction with social-robot systems has been identified as one of the main challenges in human-robot interaction. This article identifies four design principles to address this challenge and applies them in a real-world implementation: cloud-based robot control, a modular design, one common knowledge base...
journal article 2022
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Dudzik, B.J.W. (author), Broekens, D.J. (author), Neerincx, M.A. (author), Hung, H.S. (author)
Empirical evidence suggests that the emotional meaning of facial behavior in isolation is often ambiguous in real-world conditions. While humans complement interpretations of others' faces with additional reasoning about context, automated approaches rarely display such context-sensitivity. Empirical findings indicate that the personal...
conference paper 2020
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Mania, J. (author), Miedema, F.E.G. (author), Browne, Rose (author), Broekens, D.J. (author), Oertel, Catharine (author)
Virtual agents are increasingly being used for communication training such as public speaking-, job interviews-, as well as negotiation training. In these use-cases the agent is generally taking on the role of interviewer and its behaviour is altered according to the nonverbal cues of its human interlocutor. However, understanding how the...
conference paper 2020
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Moerland, T.M. (author), Deichler, Anna (author), Baldi, S. (author), Broekens, D.J. (author), Jonker, C.M. (author)
Planning and reinforcement learning are two key approaches to sequential decision making. Multi-step approximate real-time dynamic programming, a recently successful algorithm class of which AlphaZero [Silver et al., 2018] is an example, combines both by nesting planning within a learning loop. However, the combination of planning and learning...
book chapter 2020
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Saad, E. (author), Broekens, D.J. (author), Neerincx, M.A. (author)
The design space of human-robot interaction is large and multi-dimensional. A sound design requires a systematic theory-driven exploration, specification and refinement of design variables. There is a need for a practical method and tool to iteratively specify the content of the dialogue (e.g., speech acts) with the accompanying expressive...
conference paper 2020
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Saad, E. (author), Broekens, D.J. (author), Neerincx, M.A. (author), Hindriks, K.V. (author)
This paper presents the design and evaluation of human-like welcoming behaviors for a humanoid robot to draw the attention of passersby by following a three-step model: (1) selecting a target (person) to engage, (2) executing behaviors to draw the target's attention, and (3) monitoring the attentive response. A computer vision algorithm was...
conference paper 2019
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Dudzik, B.J.W. (author), Jansen, Michel Pierre (author), Burger, Franziska (author), Kaptein, F.C.A. (author), Broekens, D.J. (author), Heylen, Dirk K.J. (author), Hung, H.S. (author), Neerincx, M.A. (author), Truong, Khiet P. (author)
An important aspect of human emotion perception is the use of contextual information to understand others' feelings even in situations where their behavior is not very expressive or has an emotionally ambiguous meaning. For technology to successfully detect affect, it must mimic this human ability when analyzing audiovisual input. Databases...
conference paper 2019
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Neerincx, M.A. (author), van Vught, Willeke (author), Blanson Henkemans, O.A. (author), Oleari, Elettra (author), Broekens, D.J. (author), Rijgersberg, R.M. (author), Kaptein, F.C.A. (author), Demiris, Yiannis (author), Kiefer, Bernd (author), Fumagalli, Diego (author), Bierman, Bert (author)
Social or humanoid robots do hardly show up in “the wild,” aiming at pervasive and enduring human benefits such as child health. This paper presents a socio-cognitive engineering (SCE) methodology that guides the ongoing research & development for an evolving, longer-lasting human-robot partnership in practice. The SCE methodology has been...
journal article 2019
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Moerland, T.M. (author), Broekens, D.J. (author), Jonker, C.M. (author)
This article provides the first survey of computational models of emotion in reinforcement learning (RL) agents. The survey focuses on agent/robot emotions, and mostly ignores human user emotions. Emotions are recognized as functional in decision-making by influencing motivation and action selection. Therefore, computational emotion models are...
journal article 2018
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Dudzik, B.J.W. (author), Hung, H.S. (author), Neerincx, M.A. (author), Broekens, D.J. (author)
An essential part of being an individual is our personal history, in particular our episodic memories. Episodic memories revolve around events that took place in a person’s past and are typically defined by a time, place, emotional associations, and other contextual information. They form an important driver for our emotional and cognitive...
conference paper 2018
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Dudzik, B.J.W. (author), Broekens, D.J. (author), Neerincx, M.A. (author), Olenick, Jeffrey (author), Chang, Chu-Hsiang (author), Kozlowski, Steve W. J. (author), Hung, H.S. (author)
Combining self-reports in which individuals reflect on their thoughts and feelings (Experience Samples) with sensor data collected via ubiquitous monitoring can provide researchers and applications with detailed insights about human behavior and psychology. However, meaningfully associating these two sources of data with each other is difficult:...
conference paper 2018
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Fischer, Agneta H. (author), Kret, Mariska E. (author), Broekens, D.J. (author)
Previous meta-analyses and reviews on gender differences in emotion recognition have shown a small to moderate female advantage. However, inconsistent evidence from recent studies has raised questions regarding the implications of different methodologies, stimuli, and samples. In the present research based on a community sample of more than...
journal article 2018
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Moerland, T.M. (author), Broekens, D.J. (author), Jonker, C.M. (author)
In this paper we study how to learn stochastic, multimodal transition dynamics in reinforcement learning (RL) tasks. We focus on evaluating transition function estimation, while we defer planning over this model to future work. Stochasticity is a fundamental property of many task environments. However, discriminative function approximators have...
conference paper 2017
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Moerland, T.M. (author), Broekens, D.J. (author), Jonker, C.M. (author)
This paper studies directed exploration for reinforcement learning agents by tracking uncertainty about the value of each available action. We identify two sources of uncertainty that are relevant for exploration. The first originates from limited data (parametric uncertainty), while the second originates from the distribution of the returns ...
conference paper 2017
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Xu, J. (author), Broekens, D.J. (author), Hindriks, K.V. (author), Neerincx, M.A. (author)
The aim of our work is to design bodily mood expressions of humanoid robots for interactive settings that can be recognized by users and have (positive) effects on people who interact with the robots. To this end, we develop a parameterized behavior model for humanoid robots to express mood through body language. Different settings of the...
journal article 2015
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