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The Power of Close Others: How Social Interactions Impact Older Adults’ Mobile Shopping Experience

Authors:

Yoobin Elyson Park,

Esther Hehsun Kim,

Joonhwan LeeAuthors Info & Claims

DIS '23: Proceedings of the 2023 ACM Designing Interactive Systems Conference

Pages 712 - 724

https://doi.org/10.1145/3563657.3595993

Published: 10 July 2023 Publication History

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Abstract

Increasingly, older adults are shopping via mobile devices as technology has been incorporated into their lives. When older adults adopt and use mobile shopping, social interactions with close others greatly influence their experience. Therefore, this paper aimed to provide a comprehensive understanding of how social interactions with close others shaped older adults’ mobile shopping practices. We conducted in-depth semi-structured interviews with 31 older adults who reported using mobile shopping regularly. We found that older adults engaged in three types of social interaction: learning from, collaborating with, and assisting close others in adopting and using mobile shopping. Through these social interactions, they gradually built trust in mobile shopping systems and supported each other’s decision-making processes. In conclusion, we presented design implications for facilitating social interactions to improve older adults’ mobile shopping experience.

References

[1]

Barbara Barbosa Neves, Rachel Franz, Rebecca Judges, Christian Beermann, and Ron Baecker. 2019. Can digital technology enhance social connectedness among older adults? A feasibility study. Journal of Applied Gerontology 38, 1 (2019), 49–72.

[2]

Abha Bhattarai. 2021. Baby boomers, to retailers’ surprise, are dominating online shopping. Retrieved February 7, 2023 from https://www.pewresearch.org/fact-tank/2019/09/09/us-generations-technology-use/

[3]

Robert Blaise, Michael Halloran, and Marc Muchnick. 2018. Mobile commerce competitive advantage: A quantitative study of variables that predict m-commerce purchase intentions. Journal of Internet Commerce 17, 2 (2018), 96–114.

[4]

Cheryl C Bracken, Hocheol Yang, and Gary Pettey. 2015. “What I Love about Technology”: older adults and mobile communication technologies. Studies in Media and Communication 3, 1 (2015), 127.

[5]

Zoraida Callejas and Ramón López-Cózar. 2009. Designing smart home interfaces for the elderly. ACM SIGACCESS Accessibility and Computing95 (2009), 10–16.

[6]

Xin Yi Chan, Muhammad Khalilur Rahman, Abdullah Al Mamun, Anas A. Salameh, Wan Mohd Hirwani Wan Hussain, and Syed Shah Alam. 2022. Predicting the intention and adoption of mobile shopping during the COVID-19 lockdown in Malaysia. Sage Open 12, 2 (2022), 21582440221095012.

[7]

Jyoti Choudrie, Chike-Obuekwe Junior, Brad McKenna, and Shahper Richter. 2018. Understanding and conceptualising the adoption, use and diffusion of mobile banking in older adults: A research agenda and conceptual framework. Journal of Business Research 88 (2018), 449–465.

[8]

Sara J Czaja, José H Guerrier, Sankaran N Nair, and Thomas K Landauer. 1993. Computer communication as an aid to independence for older adults. Behaviour & Information Technology 12, 4 (1993), 197–207.

[9]

George Demiris, Marilyn J Rantz, Myra A Aud, Karen D Marek, Harry W Tyrer, Marjorie Skubic, and Ali A Hussam. 2004. Older adults’ attitudes towards and perceptions of ‘smart home’technologies: a pilot study. Medical informatics and the Internet in medicine 29, 2 (2004), 87–94.

[10]

Sarv Devaraj, Robert F Easley, and J Michael Crant. 2008. Research note—how does personality matter? Relating the five-factor model to technology acceptance and use. Information systems research 19, 1 (2008), 93–105.

[11]

Rosine Eisma, Anna Dickinson, Joy Goodman, Audrey Syme, Lachimi Tiwari, and Alan F Newell. 2004. Early user involvement in the development of information technology-related products for older people. Universal Access in the Information Society 3 (2004), 131–140.

Digital Library

[12]

Margarida Bernardo Ferreira. 2016. Measuring consumer perceptions of online shopping convenience. Ph. D. Dissertation.

[13]

Amy Franklin and Sahiti Myneni. 2018. Engagement and design barriers of mHealth applications for older adults. In Proceedings of the technology, mind, and society. 1–5.

Digital Library

[14]

Rachel L Franz, Cosmin Munteanu, Barbara Barbosa Neves, and Ronald Baecker. 2015. Time to retire old methodologies? Reflecting on conducting usability evaluations with older adults. In Proceedings of the 17th international conference on human-computer interaction with mobile devices and services adjunct. 912–915.

Digital Library

[15]

Lars Fuglsang. 2005. IT and senior citizens: Using the Internet for empowering active citizenship. Science, Technology, & Human Values 30, 4 (2005), 468–495.

[16]

Paula J Gardner. 2011. Natural neighborhood networks—Important social networks in the lives of older adults aging in place. Journal of aging studies 25, 3 (2011), 263–271.

[17]

Peter Gregor, Alan F Newell, and Mary Zajicek. 2002. Designing for dynamic diversity: interfaces for older people. In Proceedings of the fifth international ACM conference on Assistive technologies. 151–156.

Digital Library

[18]

Hacer Guner and Cengiz Acarturk. 2020. The use and acceptance of ICT by senior citizens: a comparison of technology acceptance model (TAM) for elderly and young adults. Universal Access in the Information Society 19 (2020), 311–330.

Digital Library

[19]

Jiyeon Ha and Hyeyoung K Park. 2020. Factors affecting the acceptability of technology in health care among older Korean adults with multiple chronic conditions: a cross-sectional study adopting the senior technology acceptance model. Clinical Interventions in Aging (2020), 1873–1881.

[20]

Sae ha Lee and Mira Choi. 2020. Elders in Korea join digital shopping bandwagon amid Covid-19 fear. Retrieved February 7, 2023 from https://pulsenews.co.kr/view.php?year=2020&no=1305959

[21]

Michelle Hough and Andrzej Kobylanski. 2009. Increasing elder consumer interactions with information technology. Journal of Consumer Marketing 26, 1 (2009), 39–48.

[22]

Amanda Hunsaker, Minh Hao Nguyen, Jaelle Fuchs, Gökçe Karaoglu, Teodora Djukaric, and Eszter Hargittai. 2020. Unsung helpers: older adults as a source of digital media support for their peers. The Communication Review 23, 4 (2020), 309–330.

[23]

Khan Kalimullah and Donthula Sushmitha. 2017. Influence of design elements in mobile applications on user experience of elderly people. Procedia computer science 113 (2017), 352–359.

[24]

Hyun Gu Kang, Diane F Mahoney, Helen Hoenig, Victor A Hirth, Paolo Bonato, Ihab Hajjar, Lewis A Lipsitz, 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. Journal of the American Geriatrics Society 58, 8 (2010), 1579–1586.

[25]

Eunhye Kim, Christian Fernando Libaque-Saenz, and Myeong-Cheol Park. 2019. Understanding shopping routes of offline purchasers: selection of search-channels (online vs. offline) and search-platforms (mobile vs. PC) based on product types. Service Business 13 (2019), 305–338.

[26]

Bran Knowles and Vicki L Hanson. 2018. Older adults’ deployment of ‘distrust’. ACM Transactions on Computer-Human Interaction (TOCHI) 25, 4 (2018), 1–25.

Digital Library

[27]

Bran Knowles, Vicki L Hanson, Yvonne Rogers, Anne Marie Piper, Jenny Waycott, Nigel Davies, Aloha Hufana Ambe, Robin N Brewer, Debaleena Chattopadhyay, Marianne Dee, 2021. The harm in conflating aging with accessibility. Commun. ACM 64, 7 (2021), 66–71.

Digital Library

[28]

Andriy Kovalenko and E Mazaheri. 2021. Older adults shopping online: A fad or a trend?Impact COVID-19 E-Commer 1 (2021), 67–80.

[29]

Sanna Kuoppamäki and Britt Östlund. 2020. Digital mobile technology enhancing social connectedness among older adults in Sweden. In Human Aspects of IT for the Aged Population. Technologies, Design and User Experience: 6th International Conference, ITAP 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I 22. Springer, 289–302.

[30]

Sanna-Mari Kuoppamäki, Sakari Taipale, and Terhi-Anna Wilska. 2017. The use of mobile technology for online shopping and entertainment among older adults in Finland. Telematics and Informatics 34, 4 (2017), 110–117.

Digital Library

[31]

Celine Latulipe, Ronnie Dsouza, and Murray Cumbers. 2022. Unofficial Proxies: How Close Others Help Older Adults with Banking. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. 1–13.

Digital Library

[32]

Jinkyung Lee and Ki Han Kwon. 2022. Mobile shopping beauty live commerce changes in COVID-19 pandemic focused on fun contents of MZ generation in Republic of Korea. Journal of Cosmetic Dermatology 21, 6 (2022), 2298–2306.

[33]

Jiunn-Woei Lian and David C Yen. 2014. Online shopping drivers and barriers for older adults: Age and gender differences. Computers in human behavior 37 (2014), 133–143.

[34]

Annamari Lignell 2014. Older consumers’ adoption of online shopping. (2014).

[35]

Kah-Boon Lim, Sook-Fern Yeo, and Jin-Chee Wong. 2020. Factors Affecting Purchasing Intention by Using Mobile Shopping Applications in Malaysia. International Journal of Business and Society 21, 3 (2020), 1058–1067.

[36]

Na Liu, Jiamin Yin, Sharon Swee-Lin Tan, Kee Yuan Ngiam, and Hock Hai Teo. 2021. Mobile health applications for older adults: a systematic review of interface and persuasive feature design. Journal of the American Medical Informatics Association 28, 11 (2021), 2483–2501.

[37]

Katrien Luijkx, Sebastiaan Peek, and Eveline Wouters. 2015. “Grandma, you should do it—It’s cool” Older Adults and the Role of Family Members in Their Acceptance of Technology. International journal of environmental research and public health 12, 12 (2015), 15470–15485.

[38]

James R Lumpkin. 1985. Shopping orientation segmentation of the elderly consumer. Journal of the Academy of marketing Science 13 (1985), 271–289.

[39]

Qi Ma, Alan HS Chan, and Ke Chen. 2016. Personal and other factors affecting acceptance of smartphone technology by older Chinese adults. Applied ergonomics 54 (2016), 62–71.

[40]

George P Moschis. 1992. Marketing to older consumers: A handbook of information for strategy development. Greenwood Publishing Group.

[41]

Marios A Pappas, Eleftheria Demertzi, Yannis Papagerasimou, Lefteris Koukianakis, Nikitas Voukelatos, and Athanasios Drigas. 2019. Cognitive-based E-learning design for older adults. Social Sciences 8, 1 (2019), 6.

[42]

Gabrielle N Pfund, Matthias Hofer, Mathias Allemand, and Patrick L Hill. 2022. Being social may be purposeful in older adulthood: A measurement burst design. The American Journal of Geriatric Psychiatry 30, 7 (2022), 777–786.

[43]

François Portet, Michel Vacher, Caroline Golanski, Camille Roux, and Brigitte Meillon. 2013. Design and evaluation of a smart home voice interface for the elderly: acceptability and objection aspects. Personal and Ubiquitous Computing 17 (2013), 127–144.

Digital Library

[44]

Cecil Prescott. 2019. Internet access -households and individuals, Great Britain: 2019.

[45]

Yoel Raban, Malcolm Brynin, R Kraut, M Brynin, and S Kiesler. 2006. Older People and New Technologies.

[46]

Andrea L Rosso, Jennifer A Taylor, Loni Philip Tabb, and Yvonne L Michael. 2013. Mobility, disability, and social engagement in older adults. Journal of aging and health 25, 4 (2013), 617–637.

[47]

Zoe Roupa, Marios Nikas, Elena Gerasimou, Vasiliki Zafeiri, Lamprini Giasyrani, Eunomia Kazitori, and Pinelopi Sotiropoulou. 2010. The use of technology by the elderly. Health Science Journal 4, 2 (2010), 118.

[48]

Hasanin Mohammed Salman, Wan Fatimah Wan Ahmad, and Suziah Sulaiman. 2018. Usability evaluation of the smartphone user interface in supporting elderly users from experts’ perspective. Ieee Access 6 (2018), 22578–22591.

[49]

Pavica Sheldon, Mary Grace Antony, and Lynn Johnson Ware. 2021. Baby Boomers’ use of Facebook and Instagram: uses and gratifications theory and contextual age indicators. Heliyon 7, 4 (2021), e06670.

[50]

Alessandro Soro, Margot Brereton, Laurianne Sitbon, Aloha Hufana Ambe, Jennyfer Lawrence Taylor, and Cara Wilson. 2019. Beyond independence: Enabling richer participation through relational technologies. In Proceedings of the 31st Australian Conference on Human-Computer-Interaction. 149–160.

Digital Library

[51]

Yolande Strengers, Melisa Duque, Michael Mortimer, Sarah Pink, Rex Martin, Larissa Nicholls, Ben Horan, Alicia Eugene, and Sue Thomson. 2022. “Isn’t this Marvelous” Supporting Older Adults’ Wellbeing with Smart Home Devices Through Curiosity, Play and Experimentation. In Designing Interactive Systems Conference. 707–725.

Digital Library

[52]

Emily A. Vogels. 2019. Millennials stand out for their technology use, but older generations also embrace digital life. Retrieved February 7, 2023 from https://www.pewresearch.org/fact-tank/2019/09/09/us-generations-technology-use/

[53]

Hartmut Wandke, Michael Sengpiel, and Malte Sönksen. 2012. Myths about older people’s use of information and communication technology. Gerontology 58, 6 (2012), 564–570.

[54]

Ange Wang, Lynn Redington, Valerie Steinmetz, and David Lindeman. 2011. The ADOPT model: Accelerating diffusion of proven technologies for older adults. Ageing International 36, 1 (2011), 29–45.

[55]

Michael Williams and Tami Moser. 2019. The art of coding and thematic exploration in qualitative research. International Management Review 15, 1 (2019), 45–55.

[56]

Salifu Yusif, Jeffrey Soar, and Abdul Hafeez-Baig. 2016. Older people, assistive technologies, and the barriers to adoption: A systematic review. International journal of medical informatics 94 (2016), 112–116.

[57]

Ruixue Zhaoyang, Stacey B Scott, Lynn M Martire, and Martin J Sliwinski. 2021. Daily social interactions related to daily performance on mobile cognitive tests among older adults. PLoS One 16, 8 (2021), e0256583.

Cited By

Figueira ICha YBranham S(2024)Intersecting Liminality: Acquiring a Smartphone as a Blind or Low Vision Older AdultProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3675622(1-14)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3663548.3675622

Index Terms

The Power of Close Others: How Social Interactions Impact Older Adults’ Mobile Shopping Experience
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies

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cover image ACM Conferences

DIS '23: Proceedings of the 2023 ACM Designing Interactive Systems Conference

July 2023

2717 pages

ISBN:9781450398930

DOI:10.1145/3563657

Editors:
Daragh Byrne
Carnegie Mellon University
,
Nikolas Martelaro
Carnegie Mellon University
,
Andy Boucher
Northumbria University
,
David Chatting
Goldsmiths, University of London
,
Sarah Fdili Alaoui
LISN-Université Paris Saclay
,
Sarah Fox
Carnegie Mellon University
,
Iohanna Nicenboim
Delft University of Technology
,
Cayley MacArthur
University of Waterloo

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Published: 10 July 2023

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New Faculty Startup Fund from Seoul National University

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July 10 - 14, 2023

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Cited By

Figueira ICha YBranham S(2024)Intersecting Liminality: Acquiring a Smartphone as a Blind or Low Vision Older AdultProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3675622(1-14)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3663548.3675622

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