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Reviewing Assistive Human-Robot Experiences for Inclusive Human-Robot Interaction
Aishah Shah, Saira Iftikhar, Naila Kamran Chaudhry
Pages - 1 - 18     |    Revised - 31-10-2022     |    Published - 01-12-2022
Volume - 11   Issue - 1    |    Publication Date - December 2022  Table of Contents
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KEYWORDS
Human-Robot Collaboration, Assistive Human-Robot Experiences, Inclusion.
ABSTRACT
Human-Robot Interaction (HRI) and collaboration have gained immense popularity recently, owing to the new mechanisms and advancements in the field of computing and the symbiotic nature of the involved processes. It relates to the ever-dynamic means of communication between humans and robots. Such interactions work both ways, i.e., inputs and commands from humans and the expression of the robot's interpretations. A significant amount of work has been done in this area; however, there are still challenges in assistive human-robot experiences. This study aims to review the literature on assistive robots to bring the current research together, identify persistent gaps and challenges, and recommend ways to enhance human-robot interaction. This paper covers critical aspects of assistive robots in social environments for sociophysical needs and assistance for children and the elderly with special needs. Given advancements in elements like sensor technologies, manufacturing materials, machine learning, control methodologies, and computer capacity, the subject of assistive robots is bound to see tremendous results. The findings in this paper present gaps, issues, and challenges in today’s assistive robots that hinder human-robot interaction. The findings can be used to summarize the current works and provide a base for technological innovations to enhance the interactions between humans and their partner robots.
Aerschot, L., & Parviainen, J. (2020). Robots responding to care needs? A multitasking care robot pursued for 25 years, available products offer simple entertainment and instrumental assistance. Ethics and Information Technology, 22(3), 247-256.
Alabdulkareem, A., Alhakbani, N., & Al-Nafjan, A. (2022). A Systematic Review of Research on Robot-Assisted Therapy for Children with Autism. Sensors, 22(3), 944. https://doi.org/10.3390/s22030944.
American Psychology Association. (2017). Stress in America: coping with change. Apa.org. http://www.apa.org/news/press/releases/stress/2016/coping-withchange.pdf.
Ashley, A. (2021). Improving classification of error related potentials using novel feature extraction and classification algorithms for an assistive robotic device. Etheses.whiterose.ac.UK.https://etheses.whiterose.ac.uk/28424/.
Áfio, A. C. E., Carvalho, A. T. de, Carvalho, L. V. de, Silva, A. S. R. da, & Pagliuca, L. M. F. (2016). Avaliação da acessibilidade de tecnologia assistiva para surdos. Revista Brasileira de Enfermagem, 69(5), 833- 839. https://doi.org/10.1590/0034-7167.2016690503.
Łukasik, S., Tobis, S., Kropińska, S., & Suwalska, A. (2020). Role of Assistive Robots in the Care of Older People: Survey Study Among Medical and Nursing Students. Journal of Medical Internet Research, 22(8), e18003. https://doi.org/10.2196/18003
Badawi, A. A., Al-Kabbany, A., & Shaban, H. (2018). Multimodal Human Activity Recognition From Wearable Inertial Sensors Using Machine Learning. 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES). https://doi.org/10.1109/IECBES.2018.8626737.
Balasubramanian, G. V., Beaney, P., & Chambers, R. (2021). Digital personal assistants are smart ways for assistive technology to aid the health and wellbeing of patients and carers. BMC Geriatrics, 21(1). https://doi.org/10.1186/s12877-021-02436-y.
Bauman A, Merom D, Bull FC, Buchner DM, Fiatarone Singh MA.(2016). Updating the evidence for physical activity: Summative reviews of the epidemiological evidence, prevalence, and interventions to promote "active aging". Gerontologist; 56(Suppl_2):268-80.
Botelho, F. H. F. (2021). Childhood and Assistive Technology: Growing with opportunity, developing with technology. Assistive Technology, 33(sup1), 87-93. https://doi.org/10.1080/10400435.2021.1971330.
Busse, T. S., Kernebeck, S., Nef, L., Rebacz, P., Kickbusch, I., & Ehlers, J. P. (2021). Views on using social robots in professional caregiving: content analysis of a scenario method workshop. Journal of medical Internet research, 23(11), e20046.
Chen, B., Ma, H., Qin, L.-Y., Gao, F., Chan, K.-M., Law, S.-W., Qin, L., & Liao, W.-H. (2016). Recent developments and challenges of lower extremity exoskeletons. Journal of Orthopaedic Translation, 5, 26-37. https://doi.org/10.1016/j.jot.2015.09.007
Chen, X., Gong, L., Wei, L., Yeh, S.-C., Da Xu, L., Zheng, L., & Zou, Z. (2021). A Wearable Hand Rehabilitation System With Soft Gloves. IEEE Transactions on Industrial Informatics, 17(2), 943-952. https://doi.org/10.1109/tii.2020.3010369
Christoforou, E. G., Avgousti, S., Ramdani, N., Novales, C., & Panayides, A. S. (2020). The Upcoming Role for Nursing and Assistive Robotics: Opportunities and Challenges Ahead. Frontiers in Digital Health, 2. https://doi.org/10.3389/fdgth.2020.585656
Demers, L., Mortenson, W. B., Fuhrer, M. J., Jutai, J. W., Plante, M., Mah, J., & DeRuyter, F. (2016). Effect of a tailored assistive technology intervention on older adults and their family caregiver: a pragmatic study protocol. BMC Geriatrics, 16(1). https://doi.org/10.1186/s12877-016-0269-3
Desmond, D., Layton, N., Bentley, J., Boot, F. H., Borg, J., Dhungana, B. M., Gallagher, P., Gitlow, L., Gowran, R. J., Groce, N., Mavrou, K., Mackeogh, T., McDonald, R., Pettersson, C., & Scherer, M. J. (2018). Assistive technology and people: a position paper from the first global research, innovation and education on assistive technology (GREAT) summit. Disability and Rehabilitation: Assistive Technology, 13(5), 437-444. https://doi.org/10.1080/17483107.2018.1471169
Dickstein-Fischer, L. A., Crone-Todd, D. E., Chapman, I. M., Fathima, A. T., & Fischer, G. S. (2018). Socially assistive robots: current status and future prospects for autism interventions. Innovation and Entrepreneurship in Health. https://www.dovepress.com/socially-assistive-robots-current-status-and-future-prospects-for-auti-peer-reviewed-fulltext-article-IEH
Fitter, N. T., Mohan, M., Kuchenbecker, K. J., & Johnson, M. J. (2020). Exercising with Baxter: preliminary support for assistive social-physical human-robot interaction. Journal of NeuroEngineering and Rehabilitation, 17(1). https://doi.org/10.1186/s12984-020-0642-5
Fotteler, M. L., Mühlbauer, V., Brefka, S., Mayer, S., Kohn, B., Holl, F., Swoboda, W., Gaugisch, P., Risch, B., Denkinger, M., & Dallmeier, D. (2022). The Effectiveness of Assistive Technologies for Older Adults and the Influence of Frailty: Systematic Literature Review of Randomized Controlled Trials. JMIR Aging, 5(2), e31916. https://doi.org/10.2196/31916
Gale, S. A., Acar, D., & Daffner, K. R. (2018). Dementia. The American Journal of Medicine
Getson, C., & Nejat, G. (2022). The adoption of socially assistive robots for long-term care: During COVID-19 and in a post-pandemic society. Healthcare Management Forum, 084047042211064. https://doi.org/10.1177/08404704221106406
Haleem, Prof. A., Javaid, D. M., Qadri, P. M. A., & Suman, D. R. (2022). Understanding the Role of Digital Technologies in Education: A review. Sustainable Operations and Computers, 3. https://doi.org/10.1016/j.susoc.2022.05.004
Halvorsrud, L., Holthe, T., Karterud, D., Thorstensen, E., & Lund, A. (2021). Perspectives on assistive technology among older Norwegian adults receiving community health services. Disability and Rehabilitation: Assistive Technology, 1-8. https://doi.org/10.1080/17483107.2021.1906962
Harper, K. A., Kurtzworth-Keen, K., & Marable, M. A. (2016). Assistive technology for students with learning disabilities: A glimpse of the livescribe pen and its impact on homework completion. Education and Information Technologies, 22(5), 2471-2483. https://doi.org/10.1007/s10639-016-9555-0
Hatcher, W. G., & Yu, W. (2018). A Survey of Deep Learning: Platforms, Applications and Emerging Research Trends. IEEE Access, 6, 24411-24432. https://doi.org/10.1109/access.2018.2830661
Henschel, A., Hortensius, R., & Cross, E. S. (2020). Social Cognition in the Age of Human-Robot Interaction. Trends in Neurosciences, 43(6), 373-384. https://doi.org/10.1016/j.tins.2020.03.013
Holloway, C., & Dawes, H. (2016). Disrupting the world of Disability: The Next Generation of Assistive Technologies and Rehabilitation Practices. Healthcare Technology Letters, 3(4), 254-256. https://doi.org/10.1049/htl.2016.0087
Jain, S., Thiagarajan, B., Shi, Z., Clabaugh, C., & Matarić, M. J. (2020). Modeling engagement in long-term, in-home socially assistive robot interventions for children with autism spectrum disorders. Science Robotics, 5(39). https://doi.org/10.1126/scirobotics.aaz3791
Kawas, S., Karalis, G., Wen, T., and Ladner, R,E., (2016). Improving real-time captioning experiences for deaf and hard of hearing students. Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility.
Kitt, E. R., Crossman, M. K., Matijczak, A., Burns, G. B., & Kazdin, A. E. (2021). Evaluating the Role of a Socially Assistive Robot in Children’s Mental Health Care. Journal of child and family studies, 30(7), 17221735.
Kivrak, H., Cakmak, F., Kose, H., & Yavuz, S. (2021). Social navigation framework for assistive robots in human inhabited unknown environments. Engineering Science and Technology, an International Journal, 24(2), 284-298. https://doi.org/10.1016/j.jestch.2020.08.008
LeClair, K. and Saunders, J., (2019). Meeting the educational needs of children with hearing loss", Bulletin of the World Health Organization, vol. 97, no. 10, pp. 722-724. Available: 10.2471/blt.18.227561.
Lersilp, S., Putthinoi, S., & Lersilp, T. (2018). Facilitators and Barriers of Assistive Technology and Learning Environment for Children with Special Needs. Occupational Therapy International, 2018, 1-9. https://doi.org/10.1155/2018/3705946
Luperto, M., Monroy, J., Renoux, J., Lunardini, F., Basilico, N., Bulgheroni, M., Cangelosi, A., Cesari, M., Cid, M., Ianes, A., Gonzalez-Jimenez, J., Kounoudes, A., Mari, D., Prisacariu, V., Savanovic, A., Ferrante, S., & Borghese, N. A. (2022). Integrating Social Assistive Robots, IoT, Virtual Communities and Smart Objects to Assist at-Home Independently Living Elders: the MoveCare Project. International Journal of Social Robotics. https://doi.org/10.1007/s12369-021-00843-0.
Marino, F., Crimi, I., Carrozza, C., Failla, C., Sfrazzetto, S. T., Chilà, P., Bianco, M., Arnao, A. A., Tartarisco, G., Cavallaro, A., Ruta, L., Vagni, D., & Pioggia, G. (2019). A Novel Third Wave Contextual Approach of Positive Behavior Support in School for Adolescent at High Psychosocial Risk.
Martinez-Hernandez, U., Metcalfe, B., Assaf, T., Jabban, L., Male, J., & Zhang, D. (2021). Wearable Assistive Robotics: A Perspective on Current Challenges and Future Trends. Sensors (14248220), 21(20), 6751-6751. https://doi.org/10.3390/s21206751.
Martins, G. S., Santos, L., & Dias, J. (2018). User-Adaptive Interaction in Social Robots: A Survey Focusing on Non-physical Interaction. International Journal of Social Robotics, 11(1), 185-205. https://doi.org/10.1007/s12369-018-0485-4.
Moon, N. W., Baker, P. M., & Goughnour, K. (2019). Designing wearable technologies for users.
Moyle, W., Jones, C., Murfield, J., Thalib, L., Beattie, E., Shum, D., & Draper, B. (2017). Using a therapeutic companion robot for dementia symptoms in long-term care: reflections from a cluster-RCT. Aging.
Natale, S., & Cooke, H. (2021). Browsing with Alexa: Interrogating the impact of voice assistants as web interfaces. Media, Culture & Society, 43(6), 1000-1016.
Newman, B. A., Aronson, R. M., Kitani, K., & Admoni, H. (2022a). Helping People Through Space and Time: Assistance as a Perspective on Human-Robot Interaction. Frontiers in Robotics and AI, 8. https://doi.org/10.3389/frobt.2021.720319.
Newman, B. A., Aronson, R. M., Srinivasa, S. S., Kitani, K., and Admoni, H. (2018b). Harmonic: A Multimodal Dataset of Assistive Human-Robot Collaboration. CoRR abs/1807.11154.
Nishiura, Y., Nihei, M., Takaeda, K., & Inoue, T. (2021). Comprehensible Instructions from Assistive Robots for Older Adults with or without Cognitive Impairment. Assistive Technology. https://doi.org/10.1080/10400435.2021.1893236.
OECD. (2021). POLICY BRIEF ON THE FUTURE OF WORK What happened to jobs at high risk of automation? Key findings. https://www.oecd.org/future-of-work/reports-and-data/what-happened-to-jobsathigh-risk-of-automation-2021.pdf.
Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., & McGuinness, L. A. (2021). PRISMA 2020 Explanation and elaboration: Updated Guidance and Exemplars for Reporting Systematic Reviews. BMJ, 372(160), n160. https://doi.org/10.1136/bmj.n160.
Pinney, J., Carroll, F., & Newbury, P. (2022). Human-robot interaction: the impact of robotic aesthetics on anticipated human trust. PeerJ Computer Science, 8, e837. https://doi.org/10.7717/peerj-cs.837.
Puli, L., Layton, N., Mont, D., Shae, K., Calvo, I., Hill, K. D., Callaway, L., Tebbutt, E., Manlapaz, A., Groenewegen, I., & Hiscock, D. (2021). Assistive Technology Provider Experiences during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 18(19), 10477. https://doi.org/10.3390/ijerph181910477.
Raigoso, D., Céspedes, N., Cifuentes, C. A., del-Ama, A. J., & Múnera, M. (2021). A Survey on Socially Assistive Robotics: Clinicians’ and Patients’ Perception of a Social Robot within Gait Rehabilitation Therapies. Brain Sciences, 11(6), 738. https://doi.org/10.3390/brainsci11060738.
Raju, S., Ganapathy, S., & McCarthy, M. C. (2021). Assessing Effectiveness of Information Presentation Using Wearable Augmented Display Device for Trauma Care. International Journal of Recent Trends in Human Computer Interaction, 10(1). https://doi.org/2180-1320.
Ridha, A. M., & Shehieb, W. (2021). Assistive Technology for Hearing-Impaired and Deaf Students Utilizing Augmented Reality. https://doi.org/10.1109/CCECE53047.2021.9569193.
Sankhi, P., & Sandnes, F. E. (2020). A glimpse into smartphone screen reader use among blind teenagers in rural Nepal. Disability and Rehabilitation: Assistive Technology, 1-7. https://doi.org/10.1080/17483107.2020.1818298.
Scassellati, B., Boccanfuso, L., Huang, C.-M., Mademtzi, M., Qin, M., Salomons, N., et al. (2018). Improving social skills in children with ASD using a long-term, in-home social robot. Sci.
Senjam, S. S., Manna, S., & Bascaran, C. (2021). Smartphones-Based Assistive Technology: Accessibility Features and Apps for People with Visual Impairment, and its Usage, Challenges, and Usability Testing. Clinical Optometry, 13, 311-322. https://doi.org/10.2147/OPTO.S336361.
Shi, G., Ke, S., & Banozic, A. (2022). The Role of Assistive Technology in Advancing Sustainable Development Goals. Frontiers in Political Science, 4. https://doi.org/10.3389/fpos.2022.859272.
Short, E. S., Deng, E. C., Feil-Seifer, D., & Matarić, M. J. (2017). Understanding Agency in Interactions Between ChildrenWith Autism and Socially Assistive Robots. Journal of Human-Robot Interaction, 6(3), 21. https://doi.org/10.5898/jhri.6.3.short.
Silva, I. C. S., Nesi, L. C., de Andrade Werly, J., & Murillo, L. R. (2017). Ludic Game Approach as Assistive Technology for Activities of Daily Living Training. Proceedings of the XVI Brazilian Symposium on Human Factors in Computing Systems. https://doi.org/10.1145/3160504.3160531.
Simões, A. C., Pinto, A., Santos, J., Pinheiro, S., & Romero, D. (2022). Designing human-robot collaboration.
Smail, L. C., Neal, C., Wilkins, C., & Packham, T. L. (2020). Comfort and function remain key factors in upper.
Stavropoulos, T. G., Papastergiou, A., Mpaltadoros, L., Nikolopoulos, S., & Kompatsiaris, I. (2020). IoT Wearable Sensors and Devices in Elderly Care: A Literature Review. Sensors, 20(10), 2826. https://doi.org/10.3390/s20102826.
Stone, P., & Ganapathy, S. (2021). Development of An Integrated Catheter Insertion Training Simulator and Performance Monitoring System. International Journal of Recent Trends in Human Computer Interaction, 10(1). https://doi.org/2180-1320.
Sugawara, A. T., Ramos, V. D., Alfieri, F. M., & Battistella, L. R. (2018). Abandonment of assistive products: assessing abandonment levels and factors that impact on it. Disability and Rehabilitation: Assistive Technology, 13(7), 716-723. https://doi.org/10.1080/17483107.2018.1425748.
Svensson, I., Nordström, T., Lindeblad, E., Gustafson, S., Björn, M., Sand, C., Almgren/Bäck, G., & Nilsson, S. (2019). Effects of assistive technology for students with reading and writing disabilities. Disability and Rehabilitation: Assistive Technology, 16(2), 1-13. https://doi.org/10.1080/17483107.2019.1646821.
Tegmark, M. C. -, & Scheutz, M. (2020). Assistive Robots for the Social Management of Health: A Framework for Robot Design and Human-Robot Interaction Research. International Journal of Social Robotics, 13, 197-217. https://doi.org/10.1007/s12369-020-00634-z.
Thakur, N., & Han, C. (2019). Framework for an Intelligent Affect Aware Smart Home Environment for Elderly People. International Journal of Recent Trends in Human Computer Interaction, 9(1). https://doi.org/2106-15599.
Tobis, S., Piasek, J., Cylkowska-Nowak, M., & Suwalska, A. (2022). Robots in Eldercare: How Does a Real-World Interaction with the Machine Influence the Perceptions of Older People? Sensors, 22(5), 1717. https://doi.org/10.3390/s22051717.
Vitanza, A., D’Onofrio, G., Ricciardi, F., Sancarlo, D., Greco, A., & Giuliani, F. (2019). Assistive Robots for the Elderly: Innovative Tools to Gather Health Relevant Data. Data Science for Healthcare, 195-215. https://doi.org/10.1007/978-3-030-05249-2_7.
Vollmer Dahlke, D., & Ory, M. G. (2020). Emerging Issues of Intelligent Assistive Technology Use Among People With Dementia and Their Caregivers: A US Perspective. Frontiers in Public Health, 8. https://doi.org/10.3389/fpubh.2020.00191.
World Alzheimer Report (2016). Improving healthcare for people living with dementia:coverage, quality and costs now and in the future.
Zijpp, T. van der, Wouters, E. J. M., & Sturm, J. (2018). To Use or Not to Use: The Design, Implementation and Acceptance of Technology in the Context of Health Care. In www.intechopen.com. IntechOpen. https://www.intechopen.com/chapters/61503.
Miss Aishah Shah
School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad - Pakistan
aishas51@yahoo.com
Miss Saira Iftikhar
School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad - Pakistan
Miss Naila Kamran Chaudhry
School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad - Pakistan


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