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Older Adults’ Emotional Challenges and Co-design Preferences for a Social Robot after the COVID-19 Pandemic | IEEE Conference Publication | IEEE Xplore

Older Adults’ Emotional Challenges and Co-design Preferences for a Social Robot after the COVID-19 Pandemic


Abstract:

Mental health challenges became more prevalent during the COVID-19 pandemic, especially among older adults. Consequently, we witnessed an uptake of new technologies, incl...Show More

Abstract:

Mental health challenges became more prevalent during the COVID-19 pandemic, especially among older adults. Consequently, we witnessed an uptake of new technologies, including social robots to address these challenges. However, we observed limited inclusion of older adults in the design process to design these technologies to cater user needs during the pandemic. To address this gap, we conducted a co-design workshop with 17 older adults and explored their emotional challenges after the COVID-19 pandemic. They evaluated the current social robot designs available in the literature and elicited the design preferences for a social robot to address their current emotional challenges. Our results based on thematic analysis show that the impact of the pandemic on older adults’ emotional challenges is persisting, and the companionship of a social robot is preferred to enhance their mental well-being. We also show that older adults preferred an animal-like robot design embodied with soft skin possessing a medium size. These findings highlighted older adults’ design choices of a social robot and affirmed their potential to support older adults’ mental well-being.
Date of Conference: 28-31 August 2023
Date Added to IEEE Xplore: 13 November 2023
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Conference Location: Busan, Korea, Republic of

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References is not available for this document.

I. Introduction

The average age of the world’s population is rising, and over the next ten years, the number of older adults is predicted to rise by more than 60%, reaching 1 billion by 2030 [1]. Older adults may lose their social positions, friends, family, and health as they age [2], causing emotional challenges such as depression, loneliness, and self-isolation leading to mental well-being issues [3], [4]. The COVID-19 pandemic has nearly tripled [5] mental well-being issues due to greater stress exposure and social engagement restrictions that increased anxiety and fear levels, posing unique challenges for older adults after the pandemic compared to other age groups [6], [7]. Social robots have been suggested as a healthy ageing technology that promotes mental well-being [8]. Designing social robots need a comprehensive understanding of human behaviour, intellect, and diverse technological abilities [9]. As researchers and organisations build robots for older adults, it is recommended that they be aware of preconceived notions to understand how the technologies affect mental well-being [10]. Consequently, social robots for older adults could be designed using a User-Centred Design (UCD) approach that encourages non-designers to participate in co-design activities [11], which amplifies users’ voices frequently ignored in technology design and empower them in the design process [12]. By engaging older adults in robot co-design, technology can be adapted to their demands and abilities, promoting mental well-being and ensuring more effective designs [13], [14]. Prior research in co-design methods included older adults in different technological designs, such as mobile applications [15], websites [16], smart home applications [17] and assistive robots [18].

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1.
W. He, D. Goodkind, P. R. Kowal et al., An aging world: 2015, 2016.
2.
A. Ollevier, G. Aguiar, M. Palomino and I. S. Simpelaere, "How can technology support ageing in place in healthy older adults? a systematic review", Public health reviews, vol. 41, no. 1, pp. 1-12, 2020, [online] Available: https://doi.org/10.1186/s40985-020-00143-4.
3.
E. Licht-Strunk, D. A. van der Windt, H. W. van Marwijk, M. de Haan and A. T. Beekman, "The prognosis of depression in older patients in general practice and the community. A systematic review", Family Practice, vol. 24, no. 2, pp. 168-180, 2007, [online] Available: https://doi.org/10.1093/fampra/cml071.
4.
Y. Luo, L. C. Hawkley, L. J. Waite and J. T. Cacioppo, "Loneliness health and mortality in old age: A national longitudinal study", Social science & medicine, vol. 74, no. 6, pp. 907-914, 2012, [online] Available: https://doi.org/10.1016/j.socscimed.2011.11.028.
5.
J. Wilke, K. Hollander, L. Mohr, P. Edouard, C. Fossati, M. González-Gross, C. Sánchez Ramírez, F. Laiño, B. Tan, J. D. Pillay et al., "Drastic reductions in mental well-being observed globally during the covid-19 pandemic: Results from the asap survey", Frontiers in medicine, vol. 8, pp. 578959, 2021, [online] Available: https://doi.org/10.3389/fmed.2021.578959.
6.
J. Brooke and D. Jackson, "Older people and covid-19 isolation risk and ageism", Journal of clinical nursing, 2020, [online] Available: https://doi.org/10.1111/jocn.15274.
7.
J. A. Schrack, A. A. Wanigatunga and S. P. Juraschek, "After the covid-19 pandemic: the next wave of health challenges for older adults", The Journals of Gerontology: Series A, vol. 75, no. 9, pp. e121-e122, 2020, [online] Available: https://doi.org/10.1093/gerona/glaa102.
8.
S. Kriglstein and G. Wallner, "Homie: An artificial companion for elderly people", CHI ’05 Extended Abstracts on Human Factors in Computing Systems ser. CHI EA ’05, pp. 2094-2098, 2005, [online] Available: https://doi.org/10.1145/1056808.1057106.
9.
B. Siciliano, O. Khatib and T. Kröger, Springer handbook ofrobotics, Springer, vol. 200, 2008, [online] Available: https://doi.org/10.1007/978-3-540-30301-5.
10.
C. L. Breazeal, A. K. Ostrowski, N. Singh and H. W. Park, "Designing social robots for older adults", Natl. Acad. Eng. Bridge, vol. 49, pp. 22-31, 2019.
11.
E. B.-N. Sanders, E. Brandt and T. Binder, "A framework for organizing the tools and techniques of participatory design", Proceedings of the 11th Biennial Participatory Design Conference ser. PDC ’10, pp. 195-198, 2010, [online] Available: https://doi.org/10.1145/1900441.1900476.
12.
C. N. Harrington, K. Borgos-Rodriguez and A. M. Piper, "Engaging low-income african american older adults in health discussions through community-based design workshops", Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems ser. CHI ’19, pp. 1-15, 2019, [online] Available: https://doi.org/10.1145/3290605.3300823.
13.
Y. Rogers, J. Paay, M. Brereton, K. L. Vaisutis, G. Marsden and F. Vetere, "Never too old: Engaging retired people inventing the future with makey makey", Proceedings of the SIGCHI Conference on Human Factors in Computing Systems ser. CHI ’14, pp. 3913-3922, 2014, [online] Available: https://doi.org/10.1145/2556288.2557184.
14.
D. K. Sakaguchi-Tang, J. L. Cunningham, W. Roldan, J. Yip and J. A. Kientz, "Co-design with older adults: Examining and reflecting on collaboration with aging communities", Proc. ACM Hum.-Comput. Interact., vol. 5, no. CSCW2, oct 2021, [online] Available: https://doi.org/10.1145/3479506.
15.
M. Wilson, J. Doyle and G. McTaggart, "Designing stress management interventions for older adults to improve wellbeing", Proceedings of the 2015 British HCI Conference ser. British HCI ’15, pp. 307-308, 2015, [online] Available: https://doi.org/10.1145/2783446.2783624.
16.
J. A. Johnson, "Designing websites for adults 55+: Toward universal design", Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems ser. CHI EA ’15, pp. 2449-2450, 2015, [online] Available: https://doi.org/10.1145/2702613.2706672.
17.
I. Iacono and P. Marti, "Engaging older people with participatory design", Proceedings of the 8th Nordic Conference on HumanComputer Interaction: Fun Fast Foundational ser. NordiCHI ’14, pp. 859-864, 2014, [online] Available: https://doi.org/10.1145/2639189.2670180.
18.
N. Randall, S. Šabanović and W. Chang, "Engaging older adults with depression as co-designers of assistive in-home robots", Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare ser. PervasiveHealth ’18, pp. 304-309, 2018, [online] Available: https://doi.org/10.1145/3240925.3240946.
19.
H. A. Whiteford, L. Degenhardt, J. Rehm, A. J. Baxter, A. J. Ferrari, H. E. Erskine, F. J. Charlson, R. E. Norman, A. D. Flaxman, N. Johns et al., "Global burden of disease attributable to mental and substance use disorders: findings from the global burden of disease study 2010", The lancet, vol. 382, no. 9904, pp. 1575-1586, 2013, [online] Available: https://doi.org/10.1016/S0140-6736(13)61611-6.
20.
T.-J. Hwang, K. Rabheru, C. Peisah, W. Reichman and M. Ikeda, "Loneliness and social isolation during the covid-19 pandemic", International Psychogeriatrics, vol. 32, no. 10, pp. 1217-1220, 2020, [online] Available: https://doi.org/10.1017/S1041610220000988.
21.
B. Wu, "Social isolation and loneliness among older adults in the context of covid-19: a global challenge", Global health research and policy, vol. 5, no. 1, pp. 27, 2020, [online] Available: https://doi.org/10.1186/s41256-020-00154-3.
22.
I. V. Vahia, D. G. Blazer, G. S. Smith, J. F. Karp, D. C. Steffens, B. P. Forester, et al., "Covid-19 mental health and aging: A need for new knowledge to bridge science and service", The American Journal of Geriatric Psychiatry, vol. 28, no. 7, pp. 695-697, 2020, [online] Available: https://doi.org/10.1016/j.jagp.2020.03.007.
23.
C. W. Hew and M. Ramasamy, "Development of a iot based low cost wearable smart health monitoring system for elderly", 2022 IEEE 8th International Conference on Smart Instrumentation Measurement and Applications (ICSIMA), pp. 42-47, 2022, [online] Available: https://doi.org/10.1109/ICSIMA55652.2022.9929133.
24.
X. Ding, D. Clifton, N. Ji, N. H. Lovell, P. Bonato, W. Chen, et al., "Wearable sensing and telehealth technology with potential applications in the coronavirus pandemic", IEEE Reviews in Biomedical Engineering, vol. 14, pp. 48-70, 2021, [online] Available: https://doi.org/10.1109/RBME.2020.2992838.
25.
Z. Gao, J. E. Lee, D. J. McDonough and C. Albers, Virtual reality exercise as a coping strategy for health and wellness promotion in older adults during the covid-19 pandemic, pp. 1986, 2020, [online] Available: https://doi.org/10.3390/jcm9061986.
26.
M. R. Lima, M. Wairagkar, M. Gupta, F. Rodriguez y Baena, P. Barnaghi, D. J. Sharp, et al., "Conversational affective social robots for ageing and dementia support", IEEE Transactions on Cognitive and Developmental Systems, vol. 14, no. 4, pp. 1378-1397, 2022, [online] Available: https://doi.org/10.1109/TCDS.2021.3115228.
27.
J. Broekens, M. Heerink and H. Rosendal, "Assistive social robots in elderly care: a review", Caries Research, 2009, [online] Available: https://doi.org/10.4017/GT.2009.08.02.002.00.
28.
B. Graf, M. Hans and R. D. Schraft, "Care-o-bot ii—development of a next generation robotic home assistant", Autonomous robots, vol. 16, no. 2, pp. 193-205, 2004, [online] Available: https://doi.org/10.1023/B:AURO.0000016865.35796.e9.
29.
A. K. Ostrowski, D. DiPaola, E. Partridge, H. W. Park and C. Breazeal, "Older adults living with social robots: Promoting social connectedness in long-term communities", IEEE Robotics & Automation Magazine, vol. 26, no. 2, pp. 59-70, 2019, [online] Available: https://doi.org/10.1109/MRA.2019.2905234.
30.
S. Coghlan, J. Waycott, A. Lazar and B. Barbosa Neves, "Dignity autonomy and style of company: Dimensions older adults consider for robot companions", Proc. ACM Hum.-Comput. Interact., vol. 5, no. CSCW1, apr 2021, [online] Available: https://doi.org/10.1145/3449178.
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References

References is not available for this document.