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Socially Interactive Agents for Supporting Aging

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  1. J. Abdi, A. Al-Hindawi, T. Ng, and M. P. Vizcaychipi. 2018. Scoping review on the use of socially assistive robot technology in elderly care. BMJ Open 8, 2, e018815. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  2. H. Abdollahi, A. Mollahosseini, J. T. Lane, and M. H. Mahoor. 2017. A pilot study on using an intelligent life-like robot as a companion for elderly individuals with dementia and depression. In 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids). IEEE, 541–546. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. F. Amirabdollahian, R. op den Akker, S. Bedaf, R. Bormann, H. Draper, V. Evers, J. G. Pérez, G. J. Gelderblom, C. G. Ruiz, D. Hewson, and N. Hu. 2013. Assistive technology design and development for acceptable robotics companions for ageing years. Paladyn J. Behav. Robot. 4, 2, 94–112. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  4. M. R. Banks, L. M. Willoughby, and W. A. Banks. 2008. Animal-assisted therapy and loneliness in nursing homes: Use of robotic versus living dogs. J. Am. Med. Dir. Assoc. 9, 3, 173–177. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  5. J. Boger and K. Mercer. 2017. Technology for fostering intergenerational connectivity: Scoping review protocol. Syst. Rev. 6, 1, 250. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  6. J. N. Boger. 2014. Transdisciplinary Development of Intelligent Assistive Technologies to Support Wellbeing. Ph.D. thesis. Ulster University.Google ScholarGoogle Scholar
  7. C. Breazeal, K. Dautenhahn, and T. Kanda. 2016. Social robotics. In Springer Handbook of Robotics. Springer, Cham, 1935–1972. ISBN 978-3-319-32552-1. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  8. E. Broadbent, R. Stafford, and B. MacDonald. 2009. Acceptance of healthcare robots for the older population: Review and future directions. Int. J. Social Robot. 1, 4, 319. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  9. M. Cabrita, H. op den Akker, M. Tabak, H. J. Hermens, and M. M. Vollenbroek-Hutten. 2018. Persuasive technology to support active and healthy ageing: An exploration of past, present, and future. J. Biomed. Inform. 84, 17–30. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. R. A. Calvo, S. D’Mello, J. M. Gratch, and A. Kappas. 2015. The Oxford Handbook of Affective Computing. Oxford University Press, USA. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  11. J. Chan and G. Nejat. 2010. Promoting engagement in cognitively stimulating activities using an intelligent socially assistive robot. In 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. IEEE, 533–538. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  12. A. Chowanda, M. Flintham, P. Blanchfield, and M. Valstar. 2016. Playing with social and emotional game companions. In International Conference on Intelligent Virtual Agents, Vol. 10011: Lecture Notes in Computer Science. Springer, 85–95. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  13. J. Daly Lynn, J. Rondón-Sulbarán, E. Quinn, A. Ryan, B. McCormack, and S. Martin. 2019. A systematic review of electronic assistive technology within supporting living environments for people with dementia. Dementia 18, 7–8, 2371–2435. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  14. K. Dautenhahn. 1995. Getting to know each other—Artificial social intelligence for autonomous robots. Robot. Auton. Syst. 16, 2–4, 333–356. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  15. K. Dautenhahn. 1997. I could be you: The phenomenological dimension of social understanding. Cybern. Syst. 28, 5, 417–453. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  16. K. Dautenhahn. 2007. Socially intelligent robots: Dimensions of human–robot interaction. Philos. Trans. R. Soc. B: Biol. Sci. 362, 1480, 679–704. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  17. K. Dautenhahn. 2014. Human–robot interaction. In C. Ghauoi (Ed.), The Encyclopedia of Human–Computer Interaction. Interaction Design Foundation.Google ScholarGoogle Scholar
  18. Dementia Australia. 2020. Dementia Language Guidelines. Retrieved May 11, 2020, from https://www.dementia.org.au/resources/dementia-language-guidelines.Google ScholarGoogle Scholar
  19. B. De Schutter. 2017. Gerontoludic design: Extending the MDA framework to facilitate meaningful play for older adults. Int. J. Gaming Comput.-Mediat. Simul. 9, 1, 45–60. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. M. Derek, J. Chan, and G. Nejat. 2012. A socially assistive robot for meal-time cognitive interventions. J. Med. Device. 6, 1. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  21. A. Dix, A. J. Dix, J. Finlay, G. D. Abowd, and R. Beale. 2003. Human–Computer Interaction. Pearson Education.Google ScholarGoogle Scholar
  22. A. Drachen, P. Mirza-Babaei, and L. E. Nacke. 2018. Games User Research. Oxford University Press.Google ScholarGoogle Scholar
  23. M. Dragone, J. Saunders, and K. Dautenhahn. 2015. On the integration of adaptive and interactive robotic smart spaces. Paladyn J. Behav. Robot. 6, 1, 165–179. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  24. E. Duque, G. Fonseca, H. Vieira, G. Gontijo, and L. Ishitani. 2019. A systematic literature review on user centered design and participatory design with older people. In Proceedings of the 18th Brazilian Symposium on Human Factors in Computing Systems. ACM, 1–11. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. J. Fasola and M. Mataric. 2011. Comparing Physical and Virtual Embodiment in a Socially Assistive Robot Exercise Coach for the Elderly. Technical Report CRES-11-003. Center Robotics and Embedded Systems. University of Southern California.Google ScholarGoogle Scholar
  26. T. Fong, I. Nourbakhsh, and K. Dautenhahn. 2003. A survey of socially interactive robots. Robotics and autonomous systems 42(3–4), 143–166. Chicago.Google ScholarGoogle Scholar
  27. J. Forlizzi, C. DiSalvo, and F. Gemperle. 2004. Assistive robotics and an ecology of elders living independently in their homes. Hum. Comput. Interact. 19, 1–2, 25–59. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  28. J. Galliers, S. Wilson, A. Roper, N. Cocks, J. Marshall, S. Muscroft, and T. Pring. 2012. Words are not enough: Empowering people with aphasia in the design process. In Proceedings of the 12th Participatory Design Conference: Research Papers-Vol. 1. ACM, 51–60. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. P. Gamito, J. Oliveira, C. Coelho, D. Morais, P. Lopes, J. Pacheco, R. Brito, F. Soares, N. Santos, and A. F. Barata. 2017. Cognitive training on stroke patients via virtual reality-based serious games. Disabil. Rehabil. 39, 4, 385–388. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  30. R. I. García-Betances, M. T. Arredondo Waldmeyer, G. Fico, and M. F. Cabrera-Umpiérrez. 2015. A succinct overview of virtual reality technology use in Alzheimer’s disease. Front. Aging Neurosci. 7, 80. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  31. M. Ghafurian, N. Budnarain, and J. Hoey. 2019. Role of emotions in perception of humanness of virtual agents. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS ’19. International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 1979–1981. ISBN 9781450363099.Google ScholarGoogle Scholar
  32. M. Ghafurian, N. Budnarain, and J. Hoey. 2021a. Improving Humanness of Virtual Agents and Users’ Cooperation through Emotions. IEEE Transactions on Affective Computing. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  33. M. Ghafurian, C. Ellard, and K. Dautenhahn. 2021b. Social companion robots to reduce isolation: a perception change due to covid-19. In IFIP Conference on Human-Computer Interaction. Springer, Cham, 43–63.Google ScholarGoogle Scholar
  34. M. Ghafurian, J. Hoey, and K. Dautenhahn. 2021c. Social robots for the care of persons with dementia: A systematic review. ACM Trans. Hum-Robot Interact. 10, 4, 1–31. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. T. Gnambs and M. Appel. 2019. Are robots becoming unpopular? Changes in attitudes towards autonomous robotic systems in Europe. Comput. Hum. Behav. 93, 53–61. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. R. E. Harris. 2019. Epidemiology of Chronic Disease: Global Perspectives. Jones & Bartlett Learning.Google ScholarGoogle Scholar
  37. M. Heerink, B. Kröse, V. Evers, and B. Wielinga. 2010. Assessing acceptance of assistive social agent technology by older adults: The Almere model. Int. J. Soc. Robot. 2, 4, 361–375. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  38. F. Hegel, C. Muhl, B. Wrede, M. Hielscher-Fastabend, and G. Sagerer. 2009. Understanding social robots. In 2009 Second International Conferences on Advances in Computer-Human Interactions. IEEE, 169–174. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. G. Hubbard, M. G. Downs, and S. Tester. 2003. Including older people with dementia in research: Challenges and strategies. Aging Ment. Health 7, 5, 351–362. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  40. M. Jennings. 2000. Theory and models for creating engaging and immersive ecommerce websites. In Proceedings of the 2000 ACM SIGCPR Conference on Computer Personnel Research. ACM, 77–85. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. R. Kachouie, S. Sedighadeli, R. Khosla, and M.-T. Chu. 2014. Socially assistive robots in elderly care: A mixed-method systematic literature review. Int. J. Hum. Comput. Interact. 30, 5, 369–393. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  42. H. G. Kang, D. F. Mahoney, H. Hoenig, V. A. Hirth, P. Bonato, I. Hajjar, L. A. Lipsitz, C. for the Center for Integration of Medicine and Innovative Technology Working Group on Advanced Approaches to Physiologic Monitoring for the Aged. 2010. In situ monitoring of health in older adults: Technologies and issues. J. Am. Geriatr. Soc. 58, 8, 1579–1586. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  43. D. L. Kappen, P. Mirza-Babaei, and L. E. Nacke. 2019. Older adults’ physical activity and exergames: A systematic review. Int. J. Hum. Comput. Interact. 35, 2, 140–167. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  44. R. Khosla, M.-T. Chu, R. Kachouie, K. Yamada, F. Yoshihiro, and T. Yamaguchi. 2012. Interactive multimodal social robot for improving quality of care of elderly in Australian nursing homes. In Proceedings of the 20th ACM International Conference on Multimedia. ACM, 1173–1176. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. R. Khosla, K. Nguyen, and M.-T. Chu. 2014. Assistive robot enabled service architecture to support home-based dementia care. In 2014 IEEE 7th International Conference on Service-Oriented Computing and Applications. IEEE, 73–80. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  46. K. Kilteni, R. Groten, and M. Slater. 2012. The sense of embodiment in virtual reality. Presence: Teleoperators Virtual Environ. 21, 4, 373–387. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. A. König, A. Malhotra, J. Hoey, and L. E. Francis. 2016. Designing personalized prompts for a virtual assistant to support elderly care home residents. In Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies Healthcare. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 278–282.Google ScholarGoogle Scholar
  48. A. Konig, L. E. Francis, J. Joshi, J. M. Robillard, and J. Hoey. 2017. Qualitative study of affective identities in dementia patients for the design of cognitive assistive technologies. J. Rehabil. Assist. Technol. Eng. 4. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  49. A. Konig, L. E. Francis, and J. Hoey. 2018. Emotionally adaptive technologies for people with dementia. Alzheimers Dement. 14, 7, 208. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  50. H. M. Lau, J. H. Smit, T. M. Fleming, and H. Riper. 2017. Serious games for mental health: Are they accessible, feasible, and effective? A systematic review and meta-analysis. Front. Psychiatry 7, 209. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  51. A. Lazar, J. L. Feuston, C. Edasis, and A. M. Piper. 2018. Making as expression: Informing design with people with complex communication needs through art therapy. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 1–16. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  52. K. M. Lee, Y. Jung, J. Kim, and S. R. Kim. 2006. Are physically embodied social agents better than disembodied social agents?: The effects of physical embodiment, tactile interaction, and people’s loneliness in human–robot interaction. Int. J. Hum. Comput. Stud. 64, 10, 962–973. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  53. V. Leuty, J. Boger, L. Young, J. Hoey, and A. Mihailidis. 2013. Engaging older adults with dementia in creative occupations using artificially intelligent assistive technology. Assist. Technol. 25, 2, 72–79. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  54. J. Li. 2015. The benefit of being physically present: A survey of experimental works comparing copresent robots, telepresent robots and virtual agents. Int. J. Hum. Comput. Stud. 77, 23–37. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  55. J. Li, M. Erdt, L. Chen, Y. Cao, S.-Q. Lee, and Y.-L. Theng. 2018. The social effects of exergames on older adults: Systematic review and metric analysis. J. Med. Internet Res. 20, 6, e10486. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  56. A. Malhotra, L. Yu, T. Schroeder, and J. Hoey. 2015. An exploratory study into the use of an emotionally aware cognitive assistant. In Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial8 Intelligence.Google ScholarGoogle Scholar
  57. A. Mannion, S. Summerville, E. Barrett, M. Burke, A. Santorelli, C. Kruschke, H. Felzmann, T. Kovacic, K. Murphy, D. Casey, Whelan S. A. 2019. Introducing the social robot MARIO to people living with dementia in long term residential care: Reflections. Int. J. Soc. Robot. 12, 535–547. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  58. F. Martín, C. Agüero, J. M. Cañas, G. Abella, R. Benítez, S. Rivero, M. Valenti, and P. Martínez-Martín. 2013. Robots in therapy for dementia patients. J. Phys. Agents 7, 1, 48–55. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  59. M. J. Matarić and B. Scassellati. 2016. Socially assistive robotics. In Springer Handbook of Robotics. Springer, 1973–1994. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  60. D. R. Michael and S. L. Chen. 2005. Serious Games: Games that Educate, Train, and Inform. Muska & Lipman/Premier-Trade.Google ScholarGoogle Scholar
  61. A. Mihailidis, J. Boger, J. Hoey, and T. Jiancaro. 2011. Zero effort technologies: Considerations, challenges, and use in health, wellness, and rehabilitation. Synth. Lect. Assist. Rehabil. Health-Preserving Technol. 1, 2, 1–94. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  62. W. Moyle, C. Jones, T. Dwan, T. Ownsworth, and B. Sung. 2018. Using telepresence for social connection: Views of older people with dementia, families, and health professionals from a mixed methods pilot study. Aging Ment. Health 23, 12, 1643–1650. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  63. M. Mulvenna, A. Hutton, V. Coates, S. Martin, S. Todd, R. Bond, and A. Moorhead. 2017. Views of caregivers on the ethics of assistive technology used for home surveillance of people living with dementia. Neuroethics 10, 2, 255–266. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  64. J. E. Muñoz, A. Goncalves, É. Rúbio Gouveia, M. S. Cameirao, and S. Bermudez i Badia. 2019. Lessons learned from gamifying functional fitness training through human-centered design methods in older adults. Games Health J. 8, 6, 387–406. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  65. D. Norman. 2013. The Design of Everyday Things: Revised and Expanded Edition. Basic Books.Google ScholarGoogle Scholar
  66. D. A. Norman. 2005. Robots in the home: What might they do? Interactions 12, 2, 65. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  67. R. Nouchi, Y. Taki, H. Takeuchi, H. Hashizume, Y. Akitsuki, Y. Shigemune,A. Sekiguchi, Y. Kotozaki, T. Tsukiura, Y. Yomogida, and Kawashima R. 2012. Brain training game improves executive functions and processing speed in the elderly: A randomized controlled trial. PLoS One 7, 1, e29676. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  68. H. L. O’Brien and E. G. Toms. 2008. What is user engagement? A conceptual framework for defining user engagement with technology. J. Am. Soc. Inf. Sci. Technol. 59, 6, 938–955. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  69. L. Odetti, G. Anerdi, M. P. Barbieri, D. Mazzei, E. Rizza, P. Dario, G. Rodriguez, and S. Micera. 2007. Preliminary experiments on the acceptability of animaloid companion robots by older people with early dementia. In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1816–1819. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  70. A. Paiva, I. Leite, H. Boukricha, and I. Wachsmuth. 2017. Empathy in virtual agents and robots: A survey. ACM Trans. Interact. Intell. Syst. 7, 3, 1–40. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  71. G. Perugia, M. D. Doladeras, A. C. Mallofré, M. Rauterberg, and E. Barakova. 2017. Modelling engagement in dementia through behaviour. Contribution for socially interactive robotics. In 2017 International Conference on Rehabilitation Robotics (ICORR). IEEE, 1112–1117. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  72. M. Pino, M. Boulay, F. Jouen, and A. S. Rigaud. 2015. “Are we ready for robots that care for us?” Attitudes and opinions of older adults toward socially assistive robots. Front. Aging Neurosci. 7, 141. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  73. A. Pradhan, K. Mehta, and L. Findlater. 2018. “Accessibility came by accident”: Use of voice-controlled intelligent personal assistants by people with disabilities. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 1–13. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  74. J. P. Proença, C. Quaresma, and P. Vieira. 2018. Serious games for upper limb rehabilitation: A systematic review. Disabil. Rehabil.: Assist. Technol. 13, 1, 95–100. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  75. L. Pu, W. Moyle, C. Jones, and M. Todorovic. 2019. The effectiveness of social robots for older adults: A systematic review and meta-analysis of randomized controlled studies. Gerontologist 59, 1, e37–e51. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  76. C. Raïevsky and F. Michaud. 2009. Emotion generation based on a mismatch theory of emotions for situated agents. In Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence. IGI Global, 247–266. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  77. J. M. Robillard and J. Hoey. 2018. Emotion and motivation in cognitive assistive technologies for dementia. Computer 51, 3, 24–34. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  78. J. M. Robillard, I. Cleland, J. Hoey, and C. D. Nugent. 2018. Ethical adoption: A new imperative in the development of technology for dementia. Alzheimers Dementia 14, 9, 1104–1113. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  79. N. Rouaix, L. Retru-Chavastel, A.-S. Rigaud, C. Monnet, H. Lenoir, and M. Pino. 2017. Affective and engagement issues in the conception and assessment of a robot-assisted psychomotor therapy for persons with dementia. Front. Psychol. 8, 950. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  80. S. Sabanovic, M. P. Michalowski, and R. Simmons. 2006. Robots in the wild: Observing human–robot social interaction outside the lab. In 9th IEEE International Workshop on Advanced Motion Control, 2006. IEEE, 596–601. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  81. S. Šabanović, C. C. Bennett, W.-L. Chang, and L. Huber. 2013. PARO robot affects diverse interaction modalities in group sensory therapy for older adults with dementia. In 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR). IEEE, 1–6. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  82. J. Saez-Pons, D. S. Syrdal, and K. Dautenhahn. 2015. What has happened today? memory visualisation of a robot companion to assist user’s memory. J. Assist. Technol. 9, 4, 207–218. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  83. M. Salem, G. Lakatos, F. Amirabdollahian, and K. Dautenhahn. 2015. Would you trust a (faulty) robot? Effects of error, task type and personality on human–robot cooperation and trust. In 2015 10th ACM/IEEE International Conference on Human–Robot Interaction (HRI). ACM, 141–148. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  84. E. B.-N. Sanders and P. J. Stappers. 2008. Co-creation and the new landscapes of design. Co-design 4, 1, 5–18. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  85. J. Saunders, D. S. Syrdal, K. L. Koay, N. Burke, and K. Dautenhahn. 2015. “Teachme–show me” —End-user personalization of a smart home and companionrobot. IEEE Trans. Hum. Mach. Syst. 46, 1, 27–40. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  86. S. Sävenstedt, P.-O. Sandman, and K. Zingmark. 2006. The duality in using information and communication technology in elder care. J. Adv. Nurs. 56, 1, 17–25. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  87. T. Shibata. 2012. Therapeutic seal robot as biofeedback medical device: Qualitative and quantitative evaluations of robot therapy in dementia care. Proc. IEEE 100, 8, 2527–2538. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  88. T. Shibata and K. Wada. 2011. Robot therapy: A new approach for mental healthcare of the elderly—A mini-review. Gerontology 57, 4, 378–386. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  89. K. Shinozawa, F. Naya, J. Yamato, and K. Kogure. 2005. Differences in effect of robot and screen agent recommendations on human decision-making. Int. J. Hum. Comput. Stud. 62, 2, 267–279. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  90. M. Shishehgar, D. Kerr, and J. Blake. 2018. A systematic review of research into how robotic technology can help older people. Smart Health 7–8, 1–18. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  91. M. Shishehgar, D. Kerr, and J. Blake. 2019. The effectiveness of various robotic technologies in assisting older adults. Health Informatics J. 25, 3, 892–918. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  92. C.-A. Smarr, A. Prakash, J. M. Beer, T. L. Mitzner, C. C. Kemp, and W. A. Rogers. 2012. Older adults’ preferences for and acceptance of robot assistance for everyday living tasks. Proc. Hum. Factors Ergon. Soc. Annu. Meet. 56, 1, 153–157. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  93. C.-A. Smarr, T. L. Mitzner, J. M. Beer, A. Prakash, T. L. Chen, C. C. Kemp, and W. A. Rogers. 2014. Domestic robots for older adults: Attitudes, preferences, and potential. Int. J. Soc. Robot. 6, 2, 229–247. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  94. C. V. Smedegaard. 2019. Reframing the role of novelty within social HRI: From noise to information. In 2019 14th ACM/IEEE International Conference on Human–Robot Interaction (HRI). IEEE, 411–420. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  95. I. Springate, M. Atkinson, and K. Martin. 2008. Intergenerational Practice: A Review of the Literature. LGA Research Report F/SR262. National Foundation for Educational Research.Google ScholarGoogle Scholar
  96. B. Stigall, J. Waycott, S. Baker, and K. Caine. 2019. Older adults’ perception and use of voice user interfaces: A preliminary review of the computing literature. In Proceedings of the 31st Australian Conference on Human–Computer-Interaction. ACM, 423–427. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  97. B. Still and K. Crane. 2017. Fundamentals of User-Centered Design: A Practical Approach. CRC Press.Google ScholarGoogle Scholar
  98. S. Suijkerbuijk, H. H. Nap, L. Cornelisse, W. A. IJsselsteijn, Y. A. De Kort, and M. Minkman. 2019. Active involvement of people with dementia: A systematic review of studies developing supportive technologies. J. Alzheimers Dis. 69, 4, 1041–1065. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  99. A. Suryani. 2013. Comparing case study and ethnography as qualitative research approaches. Jurnal ILMU KOMUNIKASI 5, 1. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  100. D. S. Syrdal, K. Dautenhahn, K. L. Koay, and W. C. Ho. 2014. Views from within a narrative: Evaluating long-term human–robot interaction in a naturalistic environment using open-ended scenarios. Cognit. Comput. 6, 4, 741–759. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  101. D. S. Syrdal, K. Dautenhahn, K. L. Koay, and W. C. Ho. 2015. Integrating constrained experiments in long-term human–robot interaction using task-and scenario-based prototyping. Inf. Soc. 31, 3, 265–283. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  102. J. Tholander, M. Normark, and C. Rossitto. 2012. Understanding agency in interaction design materials. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2499–2508. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  103. J. Vespa, D. M. Armstrong, and L. Medina. 2018. Demographic Turning Points for the United States: Population Projections for 2020 to 2060. US Department of Commerce, Economics and Statistics Administration, US Census Bureau.Google ScholarGoogle Scholar
  104. K. Wada and T. Shibata. 2007. Robot therapy in a care house—Change of relationship among the residents and seal robot during a 2-month long study. In RO-MAN 2007—The 16th IEEE International Symposium on Robot and Human Interactive Communication. IEEE, 107–112. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  105. K. Wada, T. Shibata, T. Saito, K. Sakamoto, and K. Tanie. 2005. Psychological and social effects of one year robot assisted activity on elderly people at a health service facility for the aged. In Proceedings of the 2005 IEEE International Conference on Robotics and Automation. IEEE, 2785–2790. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  106. K. Walsh and A. Callan. 2011. Perceptions, preferences, and acceptance of information and communication technologies in older-adult community care settings in Ireland: A case-study and ranked-care program analysis. Ageing Int. 36, 1, 102–122. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  107. M. L. Walters, D. S. Syrdal, K. Dautenhahn, R. Te Boekhorst, and K. L. Koay. 2008. Avoiding the uncanny valley: Robot appearance, personality and consistency of behavior in an attention-seeking home scenario for a robot companion. Auton. Robot. 24, 2, 159–178. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  108. M. L. Walters, M. Lohse, M. Hanheide, B. Wrede, D. S. Syrdal, K. L. Koay, A. Green, H. Hüttenrauch, K. Dautenhahn, G. Sagerer, and K. Severinson-Eklundh K. 2011. Evaluating the robot personality and verbal behavior of domestic robots using video-based studies. Adv. Robot. 25, 18, 2233–2254. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  109. D. Wang, B. Subagdja, Y. Kang, A.-H. Tan, and D. Zhang. 2014. Towards intelligent caring agents for aging-in-place: Issues and challenges. In 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI). IEEE, 1–8. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  110. R. H. Wang, A. Sudhama, M. Begum, R. Huq, and A. Mihailidis. 2017. Robots to assist daily activities: Views of older adults with Alzheimer’s disease and their caregivers. Int. Psychogeriatr. 29, 1, 67–79. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  111. M. Webster, C. Dixon, M. Fisher, M. Salem, J. Saunders, K. L. Koay, K. Dautenhahn, and J. Saez-Pons. 2015. Toward reliable autonomous robotic assistants through formal verification: A case study. IEEE Trans. Hum.-Mach. Syst. 46, 2, 186–196. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  112. S. Whelan, K. Murphy, E. Barrett, C. Krusche, A. Santorelli, and D. Casey. 2018. Factors affecting the acceptability of social robots by older adults including people with dementia or cognitive impairment: A literature review. Int. J. Social Robot. 10, 5, 643–668. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  113. World Health. 2018. Global health and aging.Google ScholarGoogle Scholar
  114. World Health Organization (WHO). 2019. Dementia: Fact Sheet No282. Accessed December 13, 2019.Google ScholarGoogle Scholar
  115. World Health Organization (WHO). 2020a. Health statistics and information systems: Proposed working definition of an older person in Africa for the MDS Projec. Accessed February 12, 2020.Google ScholarGoogle Scholar
  116. World Health Organization (WHO). 2020b. Disability: Assistive devices and technologies. Accessed February 12, 2020.Google ScholarGoogle Scholar
  117. W. Xu, H.-N. Liang, Z. Zhang, and N. Baghaei. 2020. Studying the effect of display type and viewing perspective on user experience in virtual reality exergames. Games Health J 405–414. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  118. F. Zhang and D. Kaufman. 2016. Cognitive benefits of older adults’ digital gameplay: A critical review. Gerontechnology 15, 1, 3–16. DOI: .Google ScholarGoogle ScholarCross RefCross Ref
  119. J. Zimmerman, J. Forlizzi, and S. Evenson. 2007. Research through design as a method for interaction design research in HCI. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 493–502. DOI: .Google ScholarGoogle ScholarDigital LibraryDigital Library
  120. D. M. Zulman, M. Kirch, K. Zheng, and L. C. An. 2011. Trust in the Internet as a health resource among older adults: Analysis of data from a nationally representative survey. J. Med. Internet Res. 13, 1, e19. DOI: .Google ScholarGoogle ScholarCross RefCross Ref

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  1. Socially Interactive Agents for Supporting Aging
            Index terms have been assigned to the content through auto-classification.

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              cover image ACM Books
              The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application
              October 2022
              710 pages
              ISBN:9781450398961
              DOI:10.1145/3563659

              Publisher

              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 3 November 2022

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