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Koca, Thimjo (author), Baarslag, Tim (author), Jonker, C.M. (author)
This work presents BIDS (Bidding using Diversied Search), an algorithm that can be used by negotiating agents to search very large outcome spaces. BIDS provides a balance between being rapid, accurate, diverse, and scalable search, allowing agents to search spaces with as many as 10250 possible outcomes on very run-of-the-mill hardware. We<br/...
conference paper 2022
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van der Meer, M.T. (author), Liscio, E. (author), Jonker, C.M. (author), Plaat, Aske (author), Vossen, Piek (author), Murukannaiah, P.K. (author)
The key arguments underlying a large and noisy set of opinions help understand the opinions quickly and accurately. Fully automated methods can extract arguments but (1) require large labeled datasets and (2) work well for known viewpoints, but not for novel points of view. We propose HyEnA, a hybrid (human + AI) method for extracting...
conference paper 2022
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Kola, I. (author), Isufaj, R. (author), Jonker, C.M. (author)
Personal values represent what people find important in their lives, and are key drivers of human behavior. For this reason, support agents should provide help that is aligned with the personal values of the users. To do this, the support agent not only should know the value preferences of the user, but also how different situations in the...
conference paper 2022
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Centeio Jorge, C. (author), Tielman, M.L. (author), Jonker, C.M. (author)
As intelligent agents are becoming human's teammates, not only do humans need to trust intelligent agents, but an intelligent agent should also be able to form artificial trust, i.e. a belief regarding human's trustworthiness. We see artificial trust as the beliefs of competence and willingness, and we study which internal factors (krypta) of...
conference paper 2022
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Tsfasman, Maria (author), Fenech, Kristian (author), Tarvirdians, M. (author), Lorincz, Andras (author), Jonker, C.M. (author), Oertel, Catharine (author)
When working in a group, it is essential to understand each other's viewpoints to increase group cohesion and meeting productivity. This can be challenging in teams: participants might be left misunderstood and the discussion could be going around in circles. To tackle this problem, previous research on group interactions has addressed topics...
conference paper 2022
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van der Cruijsen, J. (author), Jonker, Z.D. (author), Andrinopoulou, Eleni Rosalina (author), Wijngaarden, Jessica E. (author), Tangkau, Ditte A. (author), Tulen, Joke H.M. (author), Frens, Maarten A. (author), Ribbers, G.M. (author), Selles, R.W. (author)
Transcranial direct current stimulation (tDCS) over the contralateral primary motor cortex of the target muscle (conventional tDCS) has been described to enhance corticospinal excitability, as measured with transcranial magnetic stimulation. Recently, tDCS targeting the brain regions functionally connected to the contralateral primary motor...
journal article 2022
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Simons, L.P.A. (author), Neerincx, M.A. (author), Jonker, C.M. (author)
Globally, the burden of disease is rising. High performance employees and organisations need to improve their health self-management options and skills. Unfortunately, there are an overwhelming number (&gt; 500,000) of new health publications every year. We aim to design a health AI on top of Scholar Google, to support rapid employee do-it...
journal article 2022
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Li, Xueliang Sean (author), Rozendaal, M.C. (author), Vermetten, Eric (author), Jansen, K.M.B. (author), Jonker, C.M. (author)
Smart wearables are increasingly used to help people deal with stress. Still, a less explored area of research in this field concerns the partnerships that smart wearables can take on when engaging people in stress-coping activities. To facilitate further understanding of the human-wearable partnerships, we designed Grippy, a smart wearable...
journal article 2022
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Bouman, Katja (author), Lefter, I. (author), Rook, L. (author), Oertel, Catharine (author), Jonker, C.M. (author), Brazier, F.M. (author)
This study investigates whether an agent-based Negotiation Training System (NTS) can teach women Strategic Empathy - a recently introduced negotiation strategy based on perspective taking - and whether this can improve their negotiation performance. Developed and tested through an interaction-based real-time experiment was a NTS that integrated...
conference paper 2022
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Cavalcante Siebert, L. (author), Liscio, E. (author), Murukannaiah, P.K. (author), Kaptein, Lionel (author), Spruit, Shannon (author), van den Hoven, M.J. (author), Jonker, C.M. (author)
We propose methods for an AI agent to estimate the value preferences of individuals in a hybrid participatory system, considering a setting where participants make choices and provide textual motivations for those choices. We focus on situations where there is a conflict between participants' choices and motivations, and operationalize the...
conference paper 2022
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Liscio, E. (author), van der Meer, M.T. (author), Cavalcante Siebert, L. (author), Jonker, C.M. (author), Murukannaiah, P.K. (author)
The pursuit of values drives human behavior and promotes cooperation. Existing research is focused on general values (e.g., Schwartz) that transcend contexts. However, context-specific values are necessary to (1) understand human decisions, and (2) engineer intelligent agents that can elicit and align with human values. We propose Axies, a...
journal article 2022
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Yazdanpanah, Vahid (author), Gerding, Enrico H. (author), Stein, Sebastian (author), Dastani, Mehdi (author), Jonker, C.M. (author), Norman, Timothy J. (author), Ramchurn, Sarvapali D. (author)
Ensuring the trustworthiness of autonomous systems and artificial intelligence is an important interdisciplinary endeavour. In this position paper, we argue that this endeavour will benefit from technical advancements in capturing various forms of responsibility, and we present a comprehensive research agenda to achieve this. In particular,...
journal article 2022
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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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Liscio, E. (author), Dondera, Alin E. (author), Geadau, Andrei (author), Jonker, C.M. (author), Murukannaiah, P.K. (author)
Moral values influence how we interpret and act upon the information we receive. Identifying human moral values is essential for artificially intelligent agents to co-exist with humans. Recent progress in natural language processing allows the identification of moral values in textual discourse. However, domain-specific moral rhetoric poses...
conference paper 2022
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Shortall, R.M. (author), Itten, Anatol (author), Murukannaiah, P.K. (author), Jonker, C.M. (author), van der Meer, Michiel (author)
Designers of online deliberative platforms aim to counter the degrading quality of online debates. Support technologies such as machine learning and natural language processing open avenues for widening the circle of people involved in deliberation, moving from small groups to “crowd” scale. Numerous design features of large-scale online...
journal article 2022
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Berka, Jakub (author), Balata, Jan (author), Jonker, C.M. (author), Mikovec, Zdenek (author), van Riemsdijk, M. Birna (author), Tielman, M.L. (author)
Disabled people can benefit greatly from assistive digital technologies. However, this increased human-machine symbiosis makes it important that systems are personalized and transparent to users. Existing work often uses data-oriented approaches. However, these approaches lack transparency and make it hard to influence the system’s behavior. In...
journal article 2022
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Zgonnikov, A. (author), Thill, Serge (author), Beckerle, Philipp (author), Jonker, C.M. (author)
This interdisciplinary workshop aims to break boundaries between the researchers who develop human models (e.g., from the fields of human factors, cognitive psychology, and computational neuroscience) and roboticists who use human models in different human-robot interaction (HRI) contexts. The keynote talks, contributed submissions, and...
conference paper 2022
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Renting, B.M. (author), Hoos, Holger H. (author), Jonker, C.M. (author)
Bargaining can be used to resolve mixed-motive games in multiagent systems. Although there is an abundance of negotiation strategies implemented in automated negotiating agents, most agents are based on single fixed strategies, while it is acknowledged that there is no single best-performing strategy for all negotiation settings. In this...
conference paper 2022
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Boltje, D.B. (author), Hoogenboom, J.P. (author), Jakobi, A. (author), Jensen, Grant J. (author), Jonker, C.T.H. (author), Kaag, Max J. (author), de Agrela Pinto, C. (author), van der Wee, E.B. (author), Hoedt, Sander Den (author)
Cryogenic electron tomography (cryo-ET) combined with sub-tomogram averaging, allows in-situ visualization and structure determination of macromolecular complexes at sub-nanometre resolution. Cryogenic focused ion beam (cryo-FIB) micromachining is used to prepare a thin lamella-shaped sample out of a frozen-hydrated cell for cryo-ET imaging,...
journal article 2022
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Beckers, N.W.M. (author), Cavalcante Siebert, L. (author), Bruijnes, M. (author), Jonker, C.M. (author), Abbink, David (author)
People seem to hold the human driver to be primarily responsible when their partially automated vehicle crashes, yet is this reasonable? While the driver is often required to immediately take over from the automation when it fails, placing such high expectations on the driver to remain vigilant in partially automated driving is unreasonable....
journal article 2022
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