Abstract
The population of people age 65 or over is increasing especially in Europe [3]. Granting to this target population a longer and healthier life is paramount for the European Community. In the context of the H2020 EU funded project “NESTORE” [11], an embodied and ubiquitous e-coach is being developed seeking to change the lifestyle of seniors in different domains of wellbeing. NESTORE e-coach is known as a personalized embodied and ubiquitous e-coach that plays three essential roles in elderly’s wellbeing: a coach, a friend and a companion. As a coach, NESTORE will give trainings and advice following a wellbeing path that is proposed by experts in wellbeing. As a friend, this e-coach knows and understands the user. As a companion, this e-coach has the ability to detect the user’s emotion and aims at building empathy with the user based by providing support throughout their daily training. The NESTORE e-coach is based on three different intervention medium: a mobile application, a chatbot and an embodied vocal assistant. These interfaces have different forms, different capabilities and different visions. Users can communicate with the NESTORE e-coach through different interfaces exclusively, sequentially, concurrently and synergistically. The interaction can be initiated from the user side to different interfaces and/or from the e-coach side. In this paper, we present the NESTORE’s full vision for building the three essential roles of this e-coach which are: a coach, a companion and a friend for seniors. Furthermore, we explain the NESTORE system design, architecture, capabilities and how the different interfaces of this E-coach contribute to make a multi-modal system. Finally, we conclude our work with the state of this H2020 project.
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References
El Kamali, M., Angelini, L., Caon, M., Andreoni, G., Khaled, O.A., Mugellini, E.: Towards the NESTORE e-Coach: a tangible and embodied conversational agent for older adults. In: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, pp. 1656–1663. ACM (2018)
Orte, S., et al.: Dynamic decision support system for personalised coaching to support active ageing. In: AI* AAL@AI* IA, pp. 16–36 (2018)
Chłoń-Domińczak, A., Kotowska, I.E., Kurkiewicz, J., Abramowska-Kmon, A., Stonawski, M.: Population Ageing in Europe: Facts, Implications and Policies. European Commission, Brussel (2014)
Miskelly, F.G.: Assistive technology in elderly care. Age Ageing 30(6), 455–458 (2001)
Albaina, I.M., Visser, T., Van Der Mast, C.A., Vastenburg, M.H.: Flowie: a persuasive virtual coach to motivate elderly individuals to walk. In: 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare, pp. 1–7. IEEE, April 2009
Angelini, L., et al.: The NESTORE e-coach: accompanying older adults through a personalized pathway to wellbeing. In: Proceedings of the 12th ACM International Conference on Pervasive Technologies Related to Assistive Environments, pp. 620–628. ACM, June 2019
Rocke, C., et al.: D5.1 Definition of intervention techniques. https://nestore-coach.eu/deliverables
Fasola, J., Matarić, M.J.: A socially assistive robot exercise coach for the elderly. J. Hum.-Robot Interact. 2(2), 3–32 (2013)
Schwarzer, R., Luszczynska, A.: How to overcome health-compromising behaviors: the health action process approach. Eur. Psychol. 13(2), 141–151 (2008)
Dumas, B., Lalanne, D., Oviatt, S.: Multimodal interfaces: a survey of principles, models and frameworks. In: Lalanne, D., Kohlas, J. (eds.) Human Machine Interaction. LNCS, vol. 5440, pp. 3–26. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-00437-7_1
Nestore: a companion for better and healthier ageing. European Comission. https://ec.europa.eu/digital-single-market/en/news/nestore-companion-better-and-healthier-ageing
Sykora, M.D., Jackson, T., O’Brien, A., Elayan, S.: Emotive ontology: extracting fine-grained emotions from terse, informal messages. In: Proceedings of the IADIS International Conference Intelligent Systems and Agents 2013, ISA 2013, Proceedings of the IADIS European Conference on Data Mining 2013, ECDM 2013, pp. 19–26 (2013)
Similä, H., Merilahti, J., Ylikauppila, M., Muuraiskangas, S., Perälä, J., Kivikunnas, S.: Comparing two coaching systems for improving physical activity of older adults. In: Roa Romero, L. (ed.) XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013. IFMBE, vol. 41, pp. 1197–1200. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-00846-2_296
Aguilar, E., Bolaños, M., Radeva, P.: Food recognition using fusion of classifiers based on CNNs. In: Battiato, S., Gallo, G., Schettini, R., Stanco, F. (eds.) ICIAP 2017. LNCS, vol. 10485, pp. 213–224. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-68548-9_20
Goddard, M.: The EU general data protection regulation (GDPR): European regulation that has a global impact. Int. J. Market Res. 59(6), 703–705 (2017)
Potts, M.K.: Social support and depression among older adults living alone: the importance of friends within and outside of a retirement community. Soc. Work 42(4), 348–362 (1997)
Chafale, D., Pimpalkar, A.: Review on developing corpora for sentiment analysis using Plutchik’s wheel of emotions with fuzzy logic. Int. J. Comput. Sci. Eng. (IJCSE) 2(10), 14–18 (2014)
Tse, T., Linsey, H.: Adult day groups: addressing older people’s needs for activity and companionship. Australas. J. Ageing 24(3), 134–140 (2005)
Chatbots.org. Conversational agent. https://www.chatbots.org/conversational_agent
Fitzpatrick, K.K., Darcy, A., Vierhile, M.: Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): a randomized controlled trial. JMIR Ment. Health 4(2), e19 (2017)
Sciuto, A., Saini, A., Forlizzi, J., Hong, J.I.: “Hey Alexa, what’s up?” A mixed-methods studies of in-home conversational agent usage. In: Proceedings of the 2018 Designing Interactive Systems Conference, pp. 857–868, June 2018
Acknowledgements
This project is supported by the European Commission under the Horizon 2020 programme, SC1-PM-15-2017 – Personalised Medicine topic, through the project grant N.76964. The authors want to thank all the NESTORE Consortium. The opinions expressed in this paper are those of the authors and are not necessarily those of the project partners or the European Commission.
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El Kamali, M., Angelini, L., Caon, M., Lalanne, D., Abou Khaled, O., Mugellini, E. (2020). An Embodied and Ubiquitous E-coach for Accompanying Older Adults Towards a Better Lifestyle. In: Kurosu, M. (eds) Human-Computer Interaction. Human Values and Quality of Life. HCII 2020. Lecture Notes in Computer Science(), vol 12183. Springer, Cham. https://doi.org/10.1007/978-3-030-49065-2_2
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