Renoux, Jennifer, Grosinger, Hermine. "Metrics for Collaborative AI, what they can and cannot do" [TO APPEAR in Handbook of Human-AI Collaboration, Springer, https://www.springer.com/gp/springer-handbooks]. 2025.
Gierasimczuk, Nina., Grosinger, Hermine J., Thoft B.P., Karine. "Learning about causation: dynamic epistemic modal logic with causal awareness. In a post-proceedings volume as part of Springer's Lecture Notes in Computer Science (LNCS) series, In Madeira, Alexandre, Wang, Jing (eds) Dynamic Logic. New Trends and Applications, DaLí 2025 (http://www.dali2025.cn/accepted_papers.html). 2025.
Sabu, Kiran M., Renoux, Jennifer, Grosinger, Hermine J. and Saffiotti, Alessandro. "First the action has to be perceived for communication to take place" [TO APPEAR. In HAIC Workshop (Human-AI Collaborative Systems, https://haic-workshop.github.io/haic.github.io/) at ECAI (European Conference on Artificial Intelligence, https://ecai2025.org)]. 2025.
Grosinger, Hermine J. "The Next Level of Long-Term Agent Autonomy--Proactively Acquiring Knowledge and Abilities." In Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, pp. 2859-2864. 2025.
Renoux, Jennifer, Jasmin Grosinger, Marta Romeo, Kiran M. Sabu, Kim Baraka, and Victor Kaptelinin. "Communication in Human-AI Interaction-CHAI (preface)." In 3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI-WS 2024, 10-11 June, 2024, Malmö, Sweden, pp. 78-83. CEUR-WS, 2024.
Crowley, James L., Joëlle Coutaz, Jasmin Grosinger, Javier Vazquez-Salceda, Cecilio Angulo, Alberto Sanfeliu, Luca Iocchi, and Anthony G. Cohn. "A hierarchical framework for collaborative artificial intelligence." IEEE pervasive computing 22, no. 1 (2022): 9-18.
[DESCRIPTION] Proactivity can facilitate human-AI system collaboration. The paper presents a hierarchical model for collaborative AI. My main contribution is analyzing how proactivity fits into the framework. This contributes with important reflections and insights for overall work on proactivity.
Buyukgoz, Sera, Jasmin Grosinger, Mohamed Chetouani, and Alessandro Saffiotti. "Two ways to make your robot proactive: Reasoning about human intentions or reasoning about possible futures." Frontiers in Robotics and AI 9 (2022): 929267.
[DESCRIPTION] The paper integrates my thesis proactivity framework with recognition of and reasoning about human intentions. Proactive behavior emerges from helping the human achieve their intentions, and from reasoning on anticipation, potential action effects and preferences. S Buyukgoz and I have contributed equally to the work and share first authorship.
Schüller, Peter, João Paolo Costeira, James Crowley, Jasmin Grosinger, Félix Ingrand, Uwe Köckemann, Alessandro Saffiotti, and Martin Welss. "Composing complex and hybrid AI solutions." arXiv preprint arXiv:2202.12566 (2022).
Grosinger, Jasmin. "On Proactive Human-AI Systems." In AIC, pp. 140-146. 2022.
[DESCRIPTION] Proactivity in human-AI systems is under-investigated and under-defined to-date. In this paper, I suggest a definition of the term, analyze cognitive abilities that need to work together jointly to achieve proactive AI system behavior, and suggest a categorization of proactivity in different types.
Serafini, Luciano, Raul Barbosa, Jasmin Grosinger, Luca Iocchi, Christian Napoli, Salvatore Rinzivillo, Jacques Robin et al. "On some foundational aspects of human-centered artificial intelligence." arXiv preprint arXiv:2112.14480 (2021).
Grosinger, Jasmin. "Fostering sustainable consumption through the development of proactive human-centered robot systems." In Proceedings of the IEEE IROS 2021 Workshop on the Role Robot, Achieving UN’s Sustainable Development Goals, Prague, Czech Republic, p. 1. 2021.
Grosinger, Jasmin. On Making Robots Proactive. PhD thesis, Örebro University. 2019.
[DESCRIPTION] In my PhD thesis I lay the ground for my research in the emerging field of proactivity in AI systems, including robots. I investigate the cognitive abilities necessary for proactivity. I propose a formal model and framework for proactivity, investigate its formal properties and report empirical evaluation.
Grosinger, Jasmin, Federico Pecora, and Alessandro Saffiotti. "Robots that maintain equilibrium: Proactivity by reasoning about user intentions and preferences." Pattern Recognition Letters 118 (2019): 85-93.
[DESCRIPTION] Reasoning on human intentions can inform proactive behavior. In this article I integrate implicitly given human intentions in the temporal projection model of the proposed proactivity framework (while intentions are recognized and explicit in Buyukgoz et al., 2022 (see above)).
Grosinger, Jasmin, Federico Pecora, and Alessandro Saffiotti. "Proactivity through equilibrium maintenance with fuzzy desirability." In 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2117-2122. IEEE, 2017.
[DESCRIPTION] In this paper I extend the framework in Grosinger et al., 2016 (see below) using fuzzy logic to capture degrees of desirability and human preferences.
Grosinger, Jasmin. "Proactivity in Robots." In IJCAI, pp. 3994-3995. Doctoral Consortium. 2016.
Grosinger, Jasmin, Federico Pecora, and Alessandro Saffiotti. "Making Robots Proactive through Equilibrium Maintenance." In IJCAI, vol. 16, pp. 3375-3381. 2016.
[DESCRIPTION] I present a first full version of my formal framework for proactivity. I prove a formal property and show an experiment of the implemented framework in a robot system together with a human.
Bruno, Barbara, Jasmin Grosinger, Fulvio Mastrogiovanni, Federico Pecora, Alessandro Saffiotti, Subhash Sathyakeerthy, and Antonio Sgorbissa. "Multi-modal sensing for human activity recognition." In 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 594-600. IEEE, 2015.
[DESCRIPTION] This paper is about how to gain situation awareness through both wearable and stationary sensors. My contribution was to implement and provide a software module for context-awareness, a crucial cognitive ability for accomplishing proactive agent behavior. I also helped with setting up experimentation.
Di Rocco, Maurizio, Federico Pecora, Subhash Sathyakeerthy, Jasmin Grosinger, Alessandro Saffiotti, Manuele Bonaccorsi, Raffaele Limosani et al. "A Planner for Ambient Assisted Living: From High-Level Reasoning to Low-Level Robot Execution and Back." In AAAI Spring Symposia. 2014.
[DESCRIPTION] A planner for a robot ecology (networked systems composed of robots that cooperate with sensors and actuators deployed in the environment) is introduced. My contribution is a context-awareness module on which the planner bases its reasoning. Context-awareness is crucial for proactivity.
Grosinger, Jasmin, Federico Pecora, and Alessandro Saffiotti. "Find out why reading this paper is an opportunity of type Opp0." In CogRob 2014: The 9th International Workshop on Cognitive Robotics, Prague, Czech Republic, August 18-19, 2014. 2014.
Grosinger, Jasmin, Federico Pecora, and Alessandro Saffiotti. "Robots and bananas: Exploring deliberation in cognitive robots." In Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence. 2014.
[DESCRIPTION] This is the first paper introducing an initial version of the formal model of proactivity finalized in my PhD thesis. The model allows to investigate when it is best for an AI agent to act while taking a prospective view into account.