Publications

• Basar, E., Balaji, D., He, L., Hendrickx, I., Krahmer, E., de Bruijn, G. J., & Bosse, T. (2023). HyLECA: A Framework for Developing Hybrid Long-term Engaging Controlled Conversational Agents. In Proceedings of the 5th International Conference on Conversational User Interfaces (pp. 1-5). https://doi.org/10.1145/3571884.3604404.
   

• Boumans, R., Bosse, T., Melis, R., & Thill, S. (in press). A social robot for explaining medical tests and procedures: an exploratory study in the wild. Proceedings of the Human-Robot Interaction Conference '23 Companion, March 13–16, 2023, Stockholm, Sweden. https://doi.org/10.1145/3568294.3580085.
   

• de Sá Siqueira, M. A., Müller, B. C. N., & Bosse, T. (2023). When Do We Accept Mistakes from Chatbots? The Impact of Human-Like Communication on User Experience in Chatbots That Make Mistakes. International Journal of Human–Computer Interaction, https://doi.org/10.1080/10447318.2023.2175158.
   

• Heyselaar, E. (2023). The CASA theory no longer applies to desktop computers. Sci Rep 13, 19693. https://doi.org/10.1038/s41598-023-46527-9.
   

• Nijssen, S. R. R., Müller, B. C. N., Bosse, T., & Paulus, M. (in press). Can you count on a calculator? The effect of agency and emotion attribution on our evaluation of a robot as a moral agent. Human-Computer Interaction.
   

• Schaap, G., Bosse, T. & Hendriks Vettehen, P. (2023). The ABC of algorithmic aversion: not agent, but benefits and control determine the acceptance of automated decision-making. AI & Society. https://doi.org/10.1007/s00146-023-01649-6.
   

• Wald, R., Piotrowski, J., Araujo, T., & van Oosten, J.M.F. (2023). Virtual Assistants in the Family Home. Understanding Parents’ Motivations to Use Virtual Assistants With Their Child(ren). Computers in Human Behavior , 139. https://doi.org/10.1016/j.chb.2022.107526.

• ​Balaji, D., He, L., Giani, S., Bosse, T., Wiers, R.W.H.J. & Bruijn, G.J. de (2022). Effectiveness and acceptability of conversational agents for sexual health promotion: A systematic review and meta-analysis. Sexual Health, 19 (3), 391-405. https://doi.org/10.1071/SH22016.
   

• Bartlett, M. E., Edmunds, C. E. R., Belpaeme, T., & Thill, S. (2022). Have I Got the Power? Analysing and Reporting Statistical Power in HRI. IACM Transactions on Human-Robot Interaction, 11(2). https://doi.org/10.1145/3495246.
   

• Basar, E., Hendrickx, I.H.E., Krahmer, E.J., Bruijn, G.J. de & Bosse, T. (2022). Hints of independence in a pre-scripted world: On controlled usage of open-domain language models for chatbots in highly sensitive domains. In A.P. Rocha, L. Steels & J. van den Herik (Eds.), Proceedings of the 14th International Conference on Agents and Artificial Intelligence: Vol. 1. ICAART (pp. 401-407). Setúbal, Portugal: Scitepress. https://doi.org/10.5220/0010914300003116.
   

• Boumans, R., van de Sande, Y., Thill, S., & Bosse, T. (2022). Voice-enabled Intelligent Virtual Agents for People with Amnesia: Systematic Review. JMIR Aging 5(2), e32473. https://doi.org/10.2196/32473.
   

• Bradwell, H., Edwards, K. J., Winnington, R., Thill, S., Allgar, V., & Jones, R. B. (2022). ImplementingAffordable Socially Assistive Pet Robots in Care Homes Before and During the COVID-19 Pandemic: Stratified Cluster Randomized Controlled Trial and Mixed Methods Study. In: JMIR Aging 5.3, e38864. https://doi.org/10.2196/38864.
   

• Gomez, R., Páez, Á., Fang, Y., Thill, S., Merino, L., Nichols, E., Nakamura, K., & Brock, H. (2022). Developing The Bottom-up Attentional System of A Social Robot”. International Conference on Robotics and Automation (ICRA). 2022, pp. 7402–7408. https://doi.org/10.1109/ICRA46639.2022.9811759.
   

• He, L., Basar, E., Wiers, R. W., Antheunis, M. L., & Krahmer, E. (2022). Can chatbots help to motivate smoking cessation? A study on the effectiveness of motivational interviewing on engagement and therapeutic alliance. BMC Public Health, 22. https://doi.org/10.1186/s12889-022-13115-x. 
   

• Jones, M., Griffioen, N., Shklovski, I., & Hanteer, O. (2022). Artificial Intimacy: An Exploration of the Personal and Intimate in Natural Language Processing Models. NordiCHI ’22: Adjunct Proceedings of the 2022 Nordic Human-Computer Interaction Conference, 1, 1-2. https://doi.org/10.1145/3547522.3547719. 
   

• Lagerstedt, E. & Thill, S. (2022). Multiple Roles of Multimodality Among Interacting Agents.In: ACM Transactions on Human-Robot Interaction (in press). https://doi.org/10.1145/3549955.
   

• Medeiros, L., Bosse, T. & Gerritsen, C. (2022). Can a chatbot comfort humans? Studying the impact of a supportive chatbot on users' self-perceived stress. IEEE Transactions on Human-Machine Systems, 52 (3), 343-353. https://doi.org/10.1109/THMS.2021.3113643. 
   

• Nijssen, R.R., Müller, B.C.N., Bosse, T. & Paulus, M.A. (2022). Can you count on a calculator? The role of agency and affect in judgments of robots as moral agents. Human-Computer Interaction. https://doi.org/10.1080/07370024.2022.2080552.
   

• Tsfasman, M., Philippsen, A., Mazzola, C., Thill, S., Sciutti, A., & Nagai, Y. (2022). The world seems different in a social context: A neural network analysis of human experimental data. PLoS ONE 17(8), pp. 1–24. https://doi.org/10.1371/journal.pone.0273643.
   

• Nijssen, S. R. R., Müller, B. C. N., Bosse, T., & Paulus, M. (in press). Can you count on a calculator? The effect of agency and emotion attribution on our evaluation of a robot as a moral agent. Human-Computer Interaction.

• Bradwell, H. L., Aguiar Noury, G. E., Edwards, K. J., Winnington, R., Thill, S., & Jones, R. B. (2021). Design recommendations for socially assistive robots for health and social care based on a large scale analysis of stakeholder positions: Social robot design recommendations. Health Policy and Technology 10(3), p. 100544. issn: 2211-8837. https://doi.org/10.1016/j.hlpt.2021.100544.
   

• Bradwell, H. L., Edwards, K., Shenton, D., Winnington, R., Thill, S., & Jones, R. B. (2021). User-Centered Design of Companion Robot Pets Involving Care Home Resident-Robot Interactions and Focus Groups With Residents, Staff, and Family: Qualitative Study. JMIR Rehabilitation and Assistive Technologies 8(4), e30337. issn: 2369-2529. https://doi.org/10.2196/30337.
   

• Følstad, A., Araujo, T., Law, E.LC. […] Wald, R. et al. (2021). Future directions for chatbot research: an interdisciplinary research agenda. Computing, 103, 2915–2942. https://doi.org/10.1007/s00607-021-01016-7.
   

• Gomez, R., Fang, Y., Thill, S., Ragel, R., Brock, H., Nakamura, K., Vasylkiv, Y., Nichols, E., & Merino, L. (2021). Developing a Robot’s Empathetic Reactive Response Inspired by a Bottom-Up Attention Model”. In: Social Robotics. Ed. by Li, H., Ge, S. S., Wu, Y., Wykowska, A., He, H., Liu, X., Li, D., & Perez-Osorio., J. Cham: Springer International Publishing, 2021, pp. 85–95. isbn: 978-3-030-90525-5. https://doi.org/10.1007/978-3-030-90525-5_8.
   

• Hendrickx, I., Cena, F., Basar, E., Di Caro, L., Kunneman, F., Musi, E., Musto, C., Rapp, A. & van Waterschoot, J. (2021). Towards a new generation of personalized intelligent conversational agents. In Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (pp. 373-374). https://doi.org/10.1145/3450614.3461453. 
   

• Müller, B. C. N., Gao, X., Nijssen, S. R. R., & Damen, T. G. E. (2021). I, Robot: How human appearance and mind attribution relate to perceived danger of robots. International Journal of Social Robotics, 13, 691-701.

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• Nijssen, S. R. R., Heijselaar, E. S., Müller, B. C. N., & Bosse, T. (2021). Do we take a robot's needs into account? The effect of humanization on pro-social considerations towards other human beings and robots. Cyberpsychology, Behavior, and Social Networking, 24, 332-336.
   

• Nijssen, S. R. R., Müller, B. C. N., Bosse, T., & Paulus, M. (2021). You, robot? The role of anthropomorphic emotion attribution in children's sharing with a robot. International Journal of Child-Computer Interaction, 30, 100319.
   

• Nijssen, S. R. R., Pletti, C., Paulus, M., & Müller, B. C. N. (2021). Does agency matter for understanding robots? Neural processing of robotic movements in 4- and 8-year olds. Neuropsychologia, 157, 107853.
   

• Wald, R., Heijselaar, E., & Bosse, T. (2021). Make your own: The Potential of Chatbot Customization for the Development of User Trust. Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, New York, NY, USA, 382–387. https://doi.org/10.1145/3450614.3463600.

• de Sá Siqueira, M. A., Müller, B. C. N. & Bosse, T. (2020). Do mistakes, visual elements, and recommendation explanation affect chatbot usability? A pilot study. In Conference proceedings 4th International workshop on Chatbot Research (pp. 1-11)
   

• Lagerstedt, E. & Thill, S. (2020). Benchmarks for evaluating human-robot interaction: lessons learned from human-animal interactions”. Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2020), pp. 137–143. https://doi.org/10.1109/RO-MAN47096.2020.9223347.
   

• van Minkelen, P. Gruson, C., van Hees, P., Willems, M., de Wit, J., Aarts, R., Denissen, J., & Vogt, P. (2020). Using Self-Determination Theory in Social Robots to Increase Motivation in L2 Word Learning. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI '20). Association for Computing Machinery, New York, NY, USA, 369–377. https://doi.org/10.1145/3319502.3374828 
   

• Wald, R., Heijselaar, E., & Bosse, T. (2020). Custom-Made Chatbots. About the Potential of active User-Chatbot-Customization for the User Experience Design. CONVERSATIONS 2020 – the 4th International Workshop, University of Amsterdam, the Netherlands, November 23-24.
   

• Zanatto, D., Patacchiola, M., Goslin, J., Thill, S., & Cangelosi, A. (2020). Do humans imitate robots? An investigation of strategic social learning in human-robot interaction”. Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’20), March 23–26, 2020, Cambridge, United Kingdom. New York, NY, USA: ACM, 2020. https://doi.org/10.1145/3319502.3374776.

• Heyselaar, E. S., & Bosse, T. (2019). Using Theory of Mind to assess users' sense of agency in social chatbots. In Conversations 2019: 3rd International Workshop on Chatbot Research (pp. 1-13). Cham: Springer.
   

• Nijssen, S. R. R., Müller, B. C. N., van Baaren, R. B., & Paulus, M. (2019). Saving the robot or the human? Robots who feel, deserve moral care. Social Cognition, 37, 41-52. 

• Bosse, T., Hartmann, T., Blankendaal, R. A., Dokter, N., Otte, M., & Goedschalk, L. (2018, July). Virtually bad: A study on virtual agents that physically threaten human beings. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1258-1266).
   

• Formolo, D. & Bosse, T. (2018). Extracting interpersonal stance from vocal signals. In MA3HMI 2018: Proceedings of the 4th International Workshop on Multimodal Analyses Enabling Artificial Agents in Human-Machine Interaction (pp. 19-25). New York, NY: ACM Press.
   

• Medeiros, L., & Bosse, T. (2018, June). Using crowdsourcing for the development of online emotional support agents. In International Conference on Practical Applications of Agents and Multi-Agent Systems (pp. 196-209). Springer, Cham.
   

• Müller, B. C. N., Chen, S., Nijssen, S. R. R., & Kühn, S. (2018). How (not) to increase elderly’s tendency to anthropomorphise in serious games. PLoS ONE, 13(7): e0199948. 
   

• Thill, S., Riveiro, M., Lagerstedt, E., Lebram, M., Hemeren, P., Habibovic, A., & Klingegård, M. (2018). Driver adherence to recommendations from support systems improves if the systems explain why they are given: A simulator study. Transportation research part F: traffic psychology and behaviour, 56, 420-435.

• Heyselaar, E., Hagoort, P., & Segaert, K. (2017). In dialogue with an avatar, language behavior is identical to dialogue with a human partner. Behavior research methods, 49(1), 46-60.