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Experiment Protocol for Human–Robot Interaction Studies with Seniors with Mild Cognitive Impairments

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Human Centred Intelligent Systems

Abstract

While assistive robotics (AR) have shown promise in supporting seniors with daily life activities and psycho-social development, evaluation of AR systems presents novel challenges. From a technical point of view, reproducing HRI experiments has been problematic due to the lack of protocols, standardization and benchmarking tools, which ultimately impairs the evaluation of previous experiments. On the other hand, working with seniors with cognitive decline presents a major design challenge for researchers, since communication skills, state of mind and attention of participants are compromised. To address these challenges, this paper presents practical recommendations and a protocol for conducting HRI experiments with seniors with mild cognitive decline (MCI).

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References

  1. Lee, Y., Hwang, J., Lim, S., Kim, J.T.: Identifying characteristics of design guidelines for elderly care environments from the holistic health perspective. Indoor Built Environ. 22, 242–259 (2013)

    Article  Google Scholar 

  2. UK-RAS: Robotics in Social Care: A Connected Care EcoSystem for Independent Living (2017)

    Google Scholar 

  3. Kidd, C., Breazeal, C.: Human-robot interaction experiments: lessons learned. In: Proceeding of AISB’05 Convention (2005)

    Google Scholar 

  4. Bethel, C.L., Burke, J.L., Murphy, R.R., Salomon, K.: Psychophysiological experimental design for use in human-robot interaction studies. In: Proceedings of the 2007 International Symposium on Collaborative Technologies and Systems, CTS, pp. 99–105 (2007)

    Google Scholar 

  5. EURobotics: Strategic Research Agenda For Robotics in Europe 2014-2020. IEEE Robot. Autom. Mag. 24, 171 (2014)

    Google Scholar 

  6. Desideri, L., Ottaviani, C., Malavasi, M., di Marzio, R., Bonifacci, P.: Emotional processes in human-robot interaction during brief cognitive testing. Elsevier (2019)

    Google Scholar 

  7. Di Nuovo, A., Varrasi, S., Lucas, A., Conti, D., McNamara, J., Soranzo, A.: Assessment of cognitive skills via human-robot interaction and cloud computing. J. Bionic Eng. 16, 526–539 (2019)

    Article  Google Scholar 

  8. Tricco, A.C., Soobiah, C., Lillie, E., Perrier, L., Chen, M.H., Hemmelgarn, B., Majumdar, S.R., Straus, S.E.: Use of cognitive enhancers for mild cognitive impairment: protocol for a systematic review and network meta-analysis. Syst. Rev. 1, 25 (2012)

    Article  Google Scholar 

  9. Xu, Q., Ng, J., Tan, O., Huang, Z., Tay, B., Park, T.: Methodological issues in scenario-based evaluation of human-robot interaction. Int. J. Soc. Robot. 7, 279–291 (2015)

    Article  Google Scholar 

  10. Jones, R., Asthana, S., Walmsley, A., Sheaff, R., Milligan, J., Paisey, M., Aguiar Noury, G.: Developing the eHealth sector in Cornwall, Plymouth (2019)

    Google Scholar 

  11. Petersen, R.C., Smith, G.E., Waring, S.C., Ivnik, R.J., Tangalos, E.G., Kokmen, E.: Mild cognitive impairment. Arch. Neurol. 56, 303 (1999)

    Article  Google Scholar 

  12. Eshkoor, S.A., Hamid, T.A., Mun, C.Y., Ng, C.K.: Mild cognitive impairment and its management in older people. Clin. Interv. Aging 10, 687–693 (2015)

    Article  Google Scholar 

  13. Berghmans, R.L.P., Meulen, R.H.J.T.: Ethical issues in research with dementia patients. Int. J. Geriatr. Psychiatry 10, 647–651 (1995)

    Article  Google Scholar 

  14. Comito, C., Caniot, M., Lagrue, E., Coignard, P., Fattal, C.: Psychological and symbolic determinants relating to the first meeting with a humanoid robot. Ann. Phys. Rehabil. Med. 59, e87 (2016)

    Article  Google Scholar 

  15. Robot Center: Amy A1 Robot–Collaborative Robotics. https://www.robotcenter.co.uk/products/amy-a1-robot. Accessed 11 Feb 2020

  16. Corpora: An Interactive Open Source Robot for Kids, Developers and Eldercare. http://thecorpora.com/. Accessed 11 Feb 2020

  17. Alzheimer’s Society: Assessing cognition in older people: a practical toolkit for health professionals, pp. 1–2 (2016)

    Google Scholar 

  18. NHS Choices: Tests for diagnosing dementia-Dementia guide-NHS Choices. https://www.nhs.uk/conditions/dementia/diagnosis-tests/. Accessed 24 Jan 2020

  19. Dementia Collaborative Research Centre-Assessment and Better Care: GPCOG|Home. http://gpcog.com.au/. Accessed 24 Jan 2020

  20. Hartford Institute for Geriatric Nursing: Mental status assessment of older adults: the mini-cog. Alzheimer’s Dement. 13, 325–373 (2017)

    Google Scholar 

  21. MoCA: MOCA Montreal Cognitive Assessment (2004)

    Google Scholar 

  22. Servidoni, A.B., Conterno, L. de O.: Hearing loss in the elderly: is the hearing handicap inventory for the elderly-screening version effective in diagnosis when compared to the audiometric test? Int. Arch. Otorhinolaryngol 22, 1–8 (2018)

    Google Scholar 

  23. Schuchard, R.A.: Validity and interpretation of amsler grid reports. Arch. Ophthalmol. 111, 776–780 (1993)

    Article  Google Scholar 

  24. Makai, P., Brouwer, W.B.F., Koopmanschap, M.A., Nieboer, A.P.: Capabilities and quality of life in Dutch psycho-geriatric nursing homes: an exploratory study using a proxy version of the ICECAP-O. Qual. Life Res. 21, 801–812 (2012)

    Article  Google Scholar 

  25. Tennant, R., Hiller, L., Fishwick, R., Platt, S., Joseph, S., Weich, S., Parkinson, J., Secker, J., Stewart-Brown, S.: The warwick-edinburgh mental well-being scale (WEMWBS): development and UK validation. Health Qual. Life Outcomes 5, 63 (2007)

    Article  Google Scholar 

  26. Radloff, L.S.: The use of the center for epidemiologic studies depression scale in adolescents and young adults. J. Youth Adolesc. 20, 149–166 (1991)

    Article  Google Scholar 

  27. de Jong Gierveld, J., van Tilburg, T.G.: Social isolation and loneliness. In: Encyclopedia of Mental Health, 2nd edn., pp. 175–178 (2016)

    Google Scholar 

  28. Ware, J.E., Sherbourne, C.D.: The MOS 36-item short-form health survey (Sf-36): I. Conceptual framework and item selection. Med. Care. 30, 473–483 (1992)

    Google Scholar 

  29. Sidner, C.L., Kidd, C.D., Lee, C., Lesh, N.: Where to look: a study of human-robot engagement. In: Proceedings of the 9th International Conference on Intelligent User Interface-IUI’04, pp. 78–84 (2004)

    Google Scholar 

  30. Breazeal, C., Kidd, C.D., Thomaz, A.L., Hoffman, G., Berlin, M.: Effects of nonverbal communication on efficiency and robustness in human-robot teamwork. In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, pp. 383–388 (2005)

    Google Scholar 

  31. Kapoor, A., Burleson, W., Picard, R.W.: Automatic prediction of frustration. Int. J. Hum. Comput. Stud. 65, 724–736 (2007)

    Article  Google Scholar 

  32. Posner, J., Russell, J.A., Peterson, B.S.: The circumplex model of affect: an integrative approach to affective neuroscience, cognitive development, and psychopathology. Dev. Psychopathol. 17, 715–734 (2005)

    Article  Google Scholar 

  33. Stern, R.M., Ray, W.J., Quigley, K.S.: Psychophysiological Recording (2012)

    Google Scholar 

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Acknowledgements

Authors of this paper acknowledge the funding provided by the Interreg 2 Seas Mers Zeeën AGE’In project (2S05-014) to support the work in the research described in this publication.

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Correspondence to Gabriel Aguiar Noury .

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Aguiar Noury, G., Tsekeni, M., Morales, V., Burke, R., Palomino, M., Masala, G.L. (2021). Experiment Protocol for Human–Robot Interaction Studies with Seniors with Mild Cognitive Impairments. In: Zimmermann, A., Howlett, R., Jain, L. (eds) Human Centred Intelligent Systems. Smart Innovation, Systems and Technologies, vol 189. Springer, Singapore. https://doi.org/10.1007/978-981-15-5784-2_20

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