pub:research

Research Activities

IWINAC2024a

  • K. Kutt and G. J. Nalepa, “Emotion Prediction in Real-Life Scenarios: On the Way to the BIRAFFE3 Dataset,” in Artificial Intelligence for Neuroscience and Emotional Systems. IWINAC 2024, J. M. Ferrández Vicente, M. Val Calvo, and H. Adeli, Eds., Cham: Springer, 2024, pp. 465–475
  • Abstract

IWINAC2024b

  • K. Kutt, M. Kutt, B. Kawa, and G. J. Nalepa, “Human-in-the-Loop for Personality Dynamics: Proposal of a New Research Approach,” in Artificial Intelligence for Neuroscience and Emotional Systems. IWINAC 2024, J. M. Ferrández Vicente, M. Val Calvo, and H. Adeli, Eds., Cham: Springer, 2024, pp. 455–464.
  • Abstract

DSAA2023

  • K. Kutt, Ł. Ściga, and G. J. Nalepa, “Emotion-based Dynamic Difficulty Adjustment in Video Games,” in DSAA 2023, pp. 1–5.
  • Abstract

InfFusion2023

  • J. M. Górriz et al., “Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends,” Inf. Fusion, vol. 100, p. 101945, 2023.
  • Abstract

SciData2022

  • K. Kutt, D. Drążyk, L. Żuchowska, M. Szelążek, S. Bobek, and G. J. Nalepa, “BIRAFFE2, a multimodal dataset for emotion-based personalization in rich affective game environments,” Sci. Data, vol. 9, no. 1, p. 274, 2022
  • Abstract

AfCAI2022

  • K. Kutt, P. Sobczyk, and G. J. Nalepa, “Evaluation of Selected APIs for Emotion Recognition from Facial Expressions,” in Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. IWINAC 2022 Proceedings, Part II, 2022, pp. 65–74.
  • Abstract

MRC2021b

  • L. Żuchowska, K. Kutt, and G. J. Nalepa, “Bartle Taxonomy-based Game for Affective and Personality Computing Research,” in MRC@IJCAI 2021, 2021, pp. 51–55.
  • Abstract

MRC2021a

  • K. Kutt, L. Żuchowska, S. Bobek, and G. J. Nalepa, “People in the Context – an Analysis of Game-based Experimental Protocol,” in MRC@IJCAI 2021, 2021, pp. 46–50.
  • Abstract

Sensors2021

  • K. Kutt, D. Drążyk, S. Bobek, and G. J. Nalepa, “Personality-Based Affective Adaptation Methods for Intelligent Systems,” Sensors, vol. 21, no. 1, p. 163, 2021.
  • Abstract

ICAISC2020

  • S. Bobek, M. M. Tragarz, M. Szelążek, and G. J. Nalepa, “Explaining Machine Learning Models of Emotion Using the BIRAFFE Dataset,” in ICAISC 2020, vol. 12416 LNAI, Springer, 2020, pp. 290–300.
  • Abstract

HAIIW2020

  • K. Kutt, D. Drążyk, M. Szelążek, S. Bobek, and G. J. Nalepa, “The BIRAFFE2 Experiment – Study in Bio-Reactions and Faces for Emotion-based Personalization for AI Systems.” Paper was presented at HAII workshop during ECAI 2020 (online)
  • Abstract

MRC2020

  • L. Żuchowska, K. Kutt, K. Geleta, S. Bobek, and G. J. Nalepa, “Affective Games Provide Controlable Context. Proposal of an Experimental Framework,” in MRC@ECAI, 2020, vol. 2787, pp. 45–50.
  • Abstract

AfCAI2019

  • K. Kutt, D. Drążyk, P. Jemioło, S. Bobek, B. Giżycka, V. Rodriguez-Fernandez, and G. J. Nalepa, “BIRAFFE: Bio-Reactions and Faces for Emotion-based Personalization,” in Proceedings of the 3rd Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2019), 2020, vol. 2609
  • Abstract

SEMANTiCS2019

  • B. Giżycka, K. Kutt, and G. J. Nalepa, “Knowledge-based Development of Games Using Design Patterns Ontology,” in SEMANTiCS 2019 Posters&Demos, 2019, vol. 2451.
  • Abstract

Sensors2019

  • G. J. Nalepa, K. Kutt, B. Giżycka, P. Jemioło, and S. Bobek, “Analysis and Use of the Emotional Context with Wearable Devices for Games and Intelligent Assistants,” Sensors, vol. 19, no. 11, p. 2509, 2019.
  • DOI: 10.3390/s19112509
  • Abstract

ICAISC2019b

  • M. Z. Łępicki and S. Bobek, “Affective Context-Aware Systems: Architecture of a Dynamic Framework
  • Abstract

ICAISC2019a

  • P. Jemioło, B. Giżycka, and G. J. Nalepa, “Prototypes of Arcade Games Enabling Affective Interaction
  • DOI: 10.1007/978-3-030-20915-5_49
  • Abstract

CoSECiVi2018

  • G. J. Nalepa and B. Giżycka, “How a mobile platform for emotion identification supports designing affective games
  • Abstract

GEM2018

  • B. Giżycka and G. J. Nalepa, “Emotion in models meets emotion in design: building true affective games
  • DOI: 10.1109/GEM.2018.8516439
  • Abstract

HAI2018

  • B. Giżycka, G. J. Nalepa, and P. Jemioło, “AIded with emotions – a new design approach towards affective computer systems
  • Abstract

CCSC2018

  • B. Giżycka, “Using Affective Loop as Auxilliary Design Tool for Video Games
  • Presented at the: 10th Cracow Cognitive Science Conference
  • Abstract

HSI2018

  • K. Kutt, G. J. Nalepa, B. Giżycka, P. Jemioło, and M. Adamczyk, “BandReader – A Mobile Application for Data Acquisition from Wearable Devices in Affective Computing Experiments,” in 2018 11th International Conference on Human System Interaction (HSI), 2018, pp. 42–48.
  • DOI: 10.1109/HSI.2018.8431271
  • Abstract

FGCS2018b

  • J. K. Argasiński and P. Węgrzyn, “Affective patterns in serious games
  • DOI: 10.1016/j.future.2018.06.013
  • Abstract

ICAISC2018

  • K. Kutt, W. Binek, P. Misiak, G. J. Nalepa, and S. Bobek, “Towards the Development of Sensor Platform for Processing Physiological Data from Wearable Sensors,” in ICAISC 2018, vol. 10842 LNAI, Springer, 2018, pp. 168–178.
  • Abstract

AfCAI2018

  • G. J. Nalepa, K. Kutt, S. Bobek, and B. Giżycka, “Development of Mobile Platform for Affect Interpretation. Current Progress,” in Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2018), 2018.
  • Abstract

FGCS2018a

  • G. J. Nalepa, K. Kutt, and S. Bobek, “Mobile platform for affective context-aware systems,” Futur. Gener. Comput. Syst., vol. 92, pp. 490–503, Mar. 2019.
  • Abstract

FedCSIS2017

  • G. J. Nalepa, B. Giżycka, K. Kutt, and J. K. Argasiński, “Affective Design Patterns in Computer Games. Scrollrunner Case Study,” in Communication Papers of the 2017 Federated Conference on Computer Science and Information Systems, 2017, vol. 13, pp. 345–352.
  • DOI: 10.15439/2017F192
  • Abstract

AfCAI2016b

  • G. J. Nalepa, J. K. Argasiński, K. Kutt, P. Węgrzyn, S. Bobek, and M. Z. Łępicki, “Affective Computing Experiments in Virtual Reality with Wearable Sensors. Methodological considerations and preliminary results,” in Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2016), 2016, vol. 1794.
  • Abstract

AfCAI2016a

  • G. J. Nalepa, K. Kutt, S. Bobek, and M. Z. Łępicki, “AfCAI systems: Affective Computing with Context Awareness for Ambient Intelligence. Research proposal,” in Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2016), 2016, vol. 1794.
  • Abstract

See the BandReader page on the GEIST webpage

See the Ontology page.

See the workshops page.

  • pub/research.txt
  • Last modified: 2024/09/20 17:59
  • by kkutt