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Physiological Differences Depending on Task Performed in a 5-Day Interaction Scenario Designed for the Elderly: A Pilot Study

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Book cover Social Robotics (ICSR 2018)

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Abstract

This paper investigates the relationship between different physiological parameters and three tasks performed by an elderly individual in a 5-days interaction scenario. The physiological parameters investigated are: the galvanic skin response, the facial temperature variation, the heart rate, and the respiration rate. The three tasks were the same during all interactions. More specifically, the participant started with a relaxation period of 3 min, continued with 5 cognitive games, and finished with a news reading task. Each day consisted of two sessions: morning session (at around 11am), and afternoon session (at around 3pm). Our hypotheses were validated, meaning that we can differentiate between the three tasks by looking only at the physiological parameters, and we can differentiate between two difficulty levels of the cognitive games. A discussion of these results is also provided.

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Notes

  1. 1.

    www.enrichme.eu.

  2. 2.

    www.pal-robotics.com.

  3. 3.

    http://wiki.seeedstudio.com/Grove-GSR_Sensor/.

References

  1. Agrigoroaie, R., Tapus, A.: The outcome of a week of intensive cognitive stimulation in an elderly care setup: a pilot test. In: Accepted in RO-MAN (2018)

    Google Scholar 

  2. Agrigoroaie, R., Tapus, A.: Physiological parameters variation based on the sensory stimuli used by a robot in a news reading task. In: Accepted in RO-MAN (2018)

    Google Scholar 

  3. Bellotto, N., et al.: Enrichme integration of ambient intelligence and robotics for AAL. In: AAAI Spring Symposium Series (2017)

    Google Scholar 

  4. Eysenck, S., et al.: A revised version of the psychoticism scale. Pers. Individ. Differ. 6, 21–29 (1985)

    Article  Google Scholar 

  5. Feil-Seifer, D., Mataric, M.J.: Defining socially assistive robotics. In: 9th International Conference on Rehabilitation Robotics (2005)

    Google Scholar 

  6. Femandes, F.E., et al.: Cognitive orientation assessment for older adults using social robots. In: International Conference on Robotics and Biomimetics (2017)

    Google Scholar 

  7. Graf, B., et al.: Robotic home assistant care-o-bot 3-product vision and innovation platform. In: IEEE Workshop on Advanced Robotics and its Social Impacts (2009)

    Google Scholar 

  8. He, W., et al.: An aging world: 2015. International Population Reports (2016)

    Google Scholar 

  9. Horne, J., et al.: A self-assessment questionnaire to determine me in human circadian rhythms. Int. J. Chronobiol. 4, 97–110 (1976)

    Google Scholar 

  10. Ioannou, S., et al.: Proximity and gaze influences facial temperature: a thermal infrared imaging study. Front. Psychol. 5, 845 (2014)

    Article  Google Scholar 

  11. Ioannou, S., et al.: Thermal infrared imaging in psychophysiology: potentialities and limits. Phychophysiology 51, 951–963 (2014)

    Article  Google Scholar 

  12. Merritt, C.R., et al.: Textile-based capacitive sensors for respiration monitoring. IEEE Sens. J. 9, 71–78 (2009)

    Article  Google Scholar 

  13. Nourbakhsh, N., et al.: Detecting users cognitive load by galvanic skin response with affective interference. Trans. Interact. Intell. Syst. 7, 12 (2017)

    Google Scholar 

  14. Pages, J., Marchionni, L., Ferro, F.: Tiago: the modular robot that adapts to different research needs. In: International Workshop on Robot Modularity, IROS (2016)

    Google Scholar 

  15. Papoutsakis, K., et al.: Developing visual competencies for socially assistive robots: the hobbit approach. In: PETRA (2013)

    Google Scholar 

  16. Rahman, H., et al.: Real time heart rate monitoring from facial RGB color video using webcam. In: SAIS (2016)

    Google Scholar 

  17. Setz, C., et al.: Discriminating stress from cognitive load using a wearable EDA device. IEEE Trans. Inf. Technol. Biomed. 14, 410–417 (2010)

    Article  Google Scholar 

  18. Sorostinean, M., et al.: Reliable stress measurement using face temperature variation with a thermal camera in human-robot interaction. In: Humanoids (2015)

    Google Scholar 

  19. Stavropoulos, G., et al.: Automatic action recognition for assistive robots to support MCI patients at home. In: Proceedings of PETRA (2017)

    Google Scholar 

  20. Stroop, J.: Studies of interference in serial verbal reactions. J. Explor. Psychol. 18, 643 (1935)

    Article  Google Scholar 

  21. Tapus, A., et al.: Music therapist robot for individuals with cognitive impairments. In: Proceedings of ACM/IEEE International Conference on HRI (2009)

    Google Scholar 

  22. Turner, J.R., Carroll, D.: Heart rate and oxygen consumption during mental arithmetic, a video game, and graded exercise. Psychophysiology 22, 261–267 (1985)

    Article  Google Scholar 

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Acknowledgement

This work was funded and done in the context of the EU Horizon2020 ENRICHME project, Grant Agreement No: 643691

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Correspondence to Roxana Agrigoroaie .

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Agrigoroaie, R., Tapus, A. (2018). Physiological Differences Depending on Task Performed in a 5-Day Interaction Scenario Designed for the Elderly: A Pilot Study. In: Ge, S., et al. Social Robotics. ICSR 2018. Lecture Notes in Computer Science(), vol 11357. Springer, Cham. https://doi.org/10.1007/978-3-030-05204-1_19

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  • DOI: https://doi.org/10.1007/978-3-030-05204-1_19

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