Abstract
Currently, the number of people at the age of 65+ is rising at frenetic pace. For instance, in developed countries, the number of older adults forms 24% and this number should rise to 33% by 2050. Therefore, there is a need to prolong an active life of older people, who want to lead active, fulfilling and quality life in a sense of their inclusion, socialization and independence. This can be achieved not only by continuous support from their family members, but current trends show an important role of information and communication technologies (ICT) in this process. The purpose of this study is to explore technology acceptance models, as well as the factors influencing the acceptance of technologies by older people, such as the key demographic characteristics (i.e., age or education), which can accelerate or slow down their acceptance of ICT devices. The methods used in this study include a method of literature review of available sources exploring the acceptance of ICT devices by older people, a method of comparison and evaluation of the findings from the selected studies on this topic. The findings of the reviewed research studies indicate that the presented four theoretical models provide sound theoretical bases for potential empirical studies exploring the acceptance and use of technologies by older people. However, more attention should be paid to their support in the form of training, as well as meeting their unique personal needs. Future research should focus on the acceptance and use of mobile devices and their effectiveness on the improvement of quality of life of older generation groups.
You have full access to this open access chapter, Download conference paper PDF
1 Introduction
Ageing is becoming a big social issue nowadays. In 2000, the number of people at the age of 65+ in the world reached 12.4% and this number is expected to grow to 19% by 2030 [1]. In developed countries, this number of older adults forms 24% and it should rise to 33% by 2050 [2]. In Europe the population group aged 65+ represents 18% of the 503 million Europeans, which should almost double by 2060 [3]. Therefore, there is a need to prolong an active life of older people, who want to lead active, fulfilling and quality life in a sense of their inclusion, socialization and independence. This can be achieved not only by continuous support from their family members, but current trends show an important role of information and communication technologies (ICT) in this process. These ICT devices can promote autonomy of older people by facilitating the execution of many routine activities, such as shopping or communication. Their use also offers cognitively and intellectually challenging activities that can empower older people. Thus, the use of ICT devices can maintain them independent, active and socially inclusive. In fact, there are certain prerequisites, which can trigger their use and acceptance by older people. These include a steady rise in the number of older people worldwide, ICT as a tool for providing older people with the promise of greater independence, and the fact that the generation of baby boomers approaching retirement is relatively comfortable using ICT [4].
As research shows, older people are nowadays more digitally literate, especially those parents of baby boomers, and 80% of them have access to the Internet [4,5,6]. Furthermore, there is an increasing number of those older individuals who own and use mobile devices, such as a mobile phone. For instance, 78% of older people at the age of 65+ own a mobile phone in the USA, as well as in the UK [7, 8]. In the Czech Republic, it is 91% [9]. In fact, currently mobile devices seems to be more exploited than the desktop computers [10].
The purpose of this study is to explore technology acceptance models, as well as the factors influencing the acceptance of technologies by older people, such as the key demographic characteristics (i.e., age or education), which can accelerate or slow down their acceptance of ICT devices. In addition, the authors aim at emphasizing the main benefits and limitations of technology acceptance by this group of people.
2 Methods
The methods used in this study include a method of literature review of available sources exploring the acceptance of ICT devices by older people, a method of comparison and evaluation of the findings from the selected studies on this topic, as well as the discussion of the findings from the authors’ own empirical studies on this research topic. The literature search was conducted in the acknowledged databases Web of Science, Scopus, and ScienceDirect. Altogether over 36,000 articles were generated from all three databases where the key words older people AND technology acceptance were inserted. Nevertheless, only few related to the research topic.
For example, in the Web of Science 167 articles were found. The first one appeared already in 1996. However, most of the articles on the research issue started to be published after 2010 as Fig. 1 below illustrates. The topic of the majority of studies relates to health monitoring and assisted living technologies. This is not surprising since older people are mainly concerned at this age in maintaining their health conditions. The number of articles on the pure exploration of older people and their acceptance of technologies was relatively scarce.
3 Findings and Discussion
The research on the acceptance of technologies by older people firstly concerns the exploration of the existing models describing successful acceptance of technological devices by older individuals. Overall, there are four models. The first, original one is the Technology Acceptance Model (TAM) developed by Davis in 1989 [12]. This model is based on two basic constructs: perceived usefulness (i.e., the level to which an individual reckons that exploiting a particular system would improve his or her job performance) and perceived ease of use (i.e., the level to which an individual reckons that exploiting a particular system would cause smaller effort). Thus, if the individual believes that the technological devices is useful and s/he can use it independently, s/he will develop a positive attitude and his/her behavior will lead to the adoption of such a technological device. On the contrary, if his/her personal needs are not satisfied, s/he will reject it.
The second model, which is based on TAM, is the so-called Unified Theory of Acceptance and Use of Technology (UTAUT) model, developed in 2003 by Venkantesh et al. [13]. This model consists of four basic constructs determining person’s behavioral intention to exploit the system and his/her usage behavior (Fig. 2 below).
The extent to which each key construct influences the user’s intention to use the technological device is influenced by four factors, which are as follows: gender, age, experience, and voluntariness of use [14]. The functionality of this model in practice has been recently evidenced by Macedo [15], who applied this model with 278 Portuguese older adults. Especially behavioral intention appeared to be significantly effective on determining the actual use of technological devices.
The third model, based on TAM and UTAUT, is the Senior Technology Acceptance Model (STAM), aimed particularly at older generation groups [16, 17]. This model was developed by Renaud and Van Biljon in 2008 [16]. It consists of three stages: objectification (i.e., the intention to exploit the technological device, to see whether it is useful and easy to use or not); incorporation (i.e., further exploration and experimentation with the technological device); and conversion (i.e., either accept or reject the technology on the basis of real life experience).
The fourth model, developed by Kim et al. [14] in 2016, includes the key elements of all three prior models, but incorporates another four new components; one more stage - intention to learn, including three new factors: self-efficacy (i.e., the level to which a person thinks s/he is able to do the task), conversion readiness (i.e., ability to accept a new device), and peer support (i.e., people in his/her surrounding having experience with the new technology). Figure 3 below illustrates this model.
Thus, there are altogether four stages/phases leading to the acceptance or rejection of a technological device. As it has been already pointed out, there are also several factors determining and facilitating indirectly and directly the acceptance of technologies by older people. Peek et al. [18] group them into six categories:
-
1.
concerns regarding technology (e.g., high costs or privacy implications and usability);
-
2.
expected benefits of technology (e.g., improved safety and perceived usefulness);
-
3.
need for technology (e.g., healthcare reasons);
-
4.
alternatives to technology (i.e., family members can help and substitute the technology);
-
5.
social impact (i.e., communication with friends or family members);
-
6.
characteristics of older adults (i.e., they wish to age in their homes, in the environment where they feel comfortable and safe).
These categories/topics are also discussed by Chen and Chan in their study on gerontechnology acceptance by elderly in Honk Kong [19].
The most decisive factor for the technology acceptance by older people seems to be the age. According to this criterion, seniors can be divided into three age groups: 55–64 years, 65–74 years, and 75+ years. Seniors aged 55–64 years are usually parents of the baby boomers. They are well-educated older individuals with desire to socialize and a love for active lifestyles. Their income is also quite favorable. Even in their retirement they are eager to pursue education, either formally or informally [20]. The use of technological devices dramatically declines at the age of 75 years, when older people start to be affected by cognitive and physical impairments [20, 21]. This finding has been also confirmed by authors’ study [9].
Another important factor is an educational status. Findings of the research studies [20, 22] indicate that older individuals with higher education are more willing to accept and adopt technological devices than those with lower education.
Nevertheless, to enhance the acceptance and use of technologies by seniors, it is important to provide support to them. This can be done by training them and making sure that the technological device suits their personal needs and age [23]. Righi et al. [24] expands that technologies designed for older individuals should be designed to meet situated and dynamic needs/interests of the communities (and not only of care) to which they belong.
As research shows, older people accept and use the technological devices in order to socialize, communicate, and monitor their health [9]. As it has been already mentioned in the part on Methods, research studies on the use of health-related technologies for older people are quite widespread. Older people are in fact the main users of health-related Internet services despite the fact that the dominant group of the Internet use is formed by young people [25]. They predominantly use technological devices, including the Internet, for searching health-related information, receiving reminders for scheduled visits, medication instructions, or consulting a doctor at a distance [26,27,28].
In addition, there is an increasing trend towards the exploitation of mobile devices by older generation [7, 29]. In fact, surveys, e.g., [9, 10] report that mobile and tablet internet usage exceeds desktop computers. Some of the seniors even use a smartphone, but the number of these people is still very low. The reasons include a number of constraints [22, 30,31,32]. Figure 4 below illustrates these barriers.
Therefore, the designers of technological devices aimed at older people should bear in mind the following principles:
-
vision and hearing of the elderly people (e.g., suitable font size, usually bigger than 16 pixels, contrast ratios with text, or provision of subtitles when video or audio content is fundamental to the user experience);
-
motor control (e.g., bigger buttons at least 9.6 mm or bigger screen device);
-
device use (user-friendly);
-
relationships (e.g., enable connection with a smaller, but a more important group of people such as their family members and friends);
-
cognitive capacities of the elderly (e.g., provision of services such as reminders and alerts as cues for habitual actions) [33].
However, older people should be systematically made aware of the benefits of technological devices because they can provide them with a number of benefits such as reduction of travel costs (i.e., they do not inevitably have to see their doctor face-to-face if they need, for example, a prescription or some professional consultation); avoidance of social isolation (i.e., technological devices can enable them easier communication with their family members or friends and thus avoid their loneliness); decrease reduction of pressure on (family) caregivers; maintenance of their independence in executing tasks of daily life; or enhancement of feeling of safety [34,35,36,37]. On the contrary, of course, there are certain limitations and barriers preventing older people from accepting new technological devices (cf. [38]). Table 1 below summarizes the main benefits and limitations of the acceptance and use of technological devices by older people.
4 Conclusion
The findings of the reviewed research studies indicate that the presented four theoretical models provide satisfying theoretical bases for potential empirical studies exploring the acceptance and use of technologies by older people, such as [15] or [17]. However, more attention should be paid to their support in the form of training, as well as meeting their unique personal needs.
Future research should focus on the acceptance and use of mobile devices, such as smartphones, and their effectiveness on the improvement of quality of life of these older generation groups.
References
Vafa, K.: Census Bureau Releases Demographic Estimates and Projections for Countries of the World (2016). http://blogs.census.gov/2012/06/27/census-bureau-releases-demographic-estimates-and-projections-for-countries-of-the-world/
World Population Ageing 2013. UN, New York (2013)
Petterson, I.: Growing Older: Tourism and Leisure Behaviour of Older Adults. Cabi, Cambridge (2006)
Klimova, B., Simonova, I., Poulova, P., Truhlarova, Z., Kuca, K.: Older people and their attitude to the use of information and communication technologies – a review study with special focus on the Czech Republic (Older people and their attitude to ICT). Educ. Gerontol. 42(5), 361–369 (2016)
Wu, Y.H., Damnee, S., Kerherve, H., Ware, C., Rigaud, A.S.: Bridging the digital divide in older adults: a study from an initiative to inform older adults about new technologies. Clin. Interv. Aging 10, 193–201 (2015)
Heart, T., Kalderon, E.: Older adults: are they ready to adopt health-related ICT? Int. J. Med. Inform. 82, e209–e231 (2013)
Pew Research Center: The Demographics of Device Ownership (2015). http://www.pewinternet.org/2015/10/29/the-demographics-of-device-ownership/
Adults’ Media Use and Attitudes Report 2014 (2014). http://stakeholders.ofcom.org.uk/market-data-research/other/research-publications/adults/adults-media-lit-14/
Šimonová, I., Klímová, B., Poulová, P., Pražák, P.: The use of ICT devices by older people with a special focus on their type and respondents’ age – a Czech case study. Educ. Gerontol. 43(12), 641–649 (2017)
StatCounter: Mobile and Tablet Internet Usage Exceeds Desktop for First Time Worldwide (2016). http://gs.statcounter.com/press/mobile-and-tablet-internet-usage-exceeds-desktop-for-first-time-worldwide
Web of Science (2017). http://apps.webofknowledge.com/Search.do?product=WOS&SID=C2TMWq9F8rnnGhDVklU&search_mode=GeneralSearch&prID=da7f67df-a1b9-4a62-b29d-93c351c42a43
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13, 319–340 (1989)
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27, 425–478 (2003)
Kim, S., Gajos, K.Z., Muller, M., Grosz, B.J.: Acceptance of mobile technology by older adults: a preliminary study. In: Proceedings of MohileHCI 2016, pp. 1–11. ACM, Florence (2016)
Macedo, I.M.: Predicting the acceptance and use of information and communication technology by older adults: an empirical examination of the revised UTAUT2. Comput. Hum. Behav. 75, 935–948 (2017)
Renaud, K., Van Biljon, J.: Predicting technology acceptance and adoption by the elderly: a qualitative study. In: Proceedings of the 2008 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists on IT Research in Developing Countries: Riding the Wave of Technology, pp. 210–219. ACM (2008)
Shonhardt, C.: Older Adults and Technology: Adoption and Acceptance Comes from Relationships and Encouragement from Younger Generations (2017). https://scholarworks.bgsu.edu/cgi/viewcontent.cgi?article=1019&context=oagec
Peek, S.T.M., Wouters, E.J.M., van Hoof, J., Luijkx, K.G., Boeije, H.R., Vrijhoef, H.J.M.: Factors influencing acceptance of technology for aging in place: a systematic review. Int. J. Med. Inform. 83(4), 235–348 (2014)
Chen, K., Chan, A.H.S.: Gerontechnology acceptance by elderly Hong Kong Chinese: a senior technology acceptance model (STAM). Ergonomics 57(5), 635–652 (2014)
Sperazza, L.J., Dauenhauer, J., Banerjee, P.: Tomorrows seniors: technology and leisure programming. J. Commun. Inform. 8(1) (2012)
Klimova, B., Valis, M., Kuca, K.: Dancing as an intervention tool for people with dementia: a mini-review. Curr. Alzheimer Res. 14(12), 1264–1269 (2017)
Ma, Q., Chan, A.H.S., Chen, K.: Personal and other factors affecting acceptance of smartphone technology by older Chinese adults. Appl. Ergon. 54, 62–71 (2016)
Steel, D.M., Gray, M.A.: Baby boomers’ use and perception of recommended assistive technology: a systematic review. Disabil. Rehabil. Assist. Technol. 4, 129–136 (2009)
Righi, V., Sayago, S., Blat, J.: When we talk about older people in HCI, who are we talking about? Towards a ‘turn to community’ in the design of technologies for a growing ageing population. Int. J. Hum. Comput. Stud. 108, 15–31 (2017)
Bujnowska-Fedak, M.M.: Trends in the use of the Internet for health purposes in Poland. BMC 15, 194 (2015)
Rockmann, R., Gewald, H.: Elderly people in eHealth: who are they? Proc. Comput. Sci. 63, 505–510 (2015)
Siliquini, R., Ceruti, M., Lovato, E., Bert, F., Bruno, S., De Vito, E., et al.: Surfing the internet for health information: an Italian survey use and population choices. BMC Med. Inform. Decis. 11, 21 (2011)
Kaiser Family Foundation: E-health and the Elderly: How Seniors use the Internet for Health Information. Key Findings from a National Survey of Older Americans (2013). https://kaiserfamilyfoundation.files.wordpress.com/2013/01/e-health-and-the-elderly-how-seniors-use-the-internet-for-health-information-key-findings-from-a-national-survey-of-older-americans-survey-report.pdf
Srb, L.: Senioři rádi využívají mobilní telefony, nové technologie jim však mnohdy brání. (Older People Like to Use Mobile Phones, New Technologies, However, Very Often Prevent them from it) (2012). http://mobilizujeme.cz/clanky/seniori-radi-vyuzivaji-mobilni-telefony-nove-technologie-jim-vsak-mnohdy-brani/
Hong, S.G., Trimi, S., Kim, D.: Smartphone use and internet literacy of senior citizens. J. Assist. Technol. 10(1), 27–38 (2016)
Hwangbo, H., Yoon, S.H., Jin, B.S., Han, Y.S., Ji, Y.G.: A study of pointing performance of elderly users on smartphones. Int. J. Hum. Comput. Interac. 29(9), 604–618 (2013)
Mohadis, H.M., Ali, N.M.: A study of smartphone usage and barriers among the elderly. In: Proceedings of the 3rd International Conference on User Science and Engineering: Experience. Engineer. Engage, pp. 109–114. Institute of Electrical and Electronics Engineers Inc. (2014)
Campbell, O.: Designing for the Elderly: Ways Older People use Digital Technology Differently (2015). http://www.smashingmagazine.com/2015/02/designing-digital-technology-for-the-elderly/
Beer, J.M., Takayama, L.: Mobile remote presence systems for older adults: acceptance, benefits, and concerns. In: Proceedings of the 6th ACM IEEE International Conference on Human-Robot Interactions (HKI 2011), pp. 19–26. ACM, Lausanne
Macedo, I.M., Pinho, J.C., Liao, M.N.: Investigating the impact of Internet usage and acceptance on active ageing among older adults. Confronting contemporary business challenges through management innovation, pp. 1448–1456, Cascais, Portugal
Mitzner, T.L., Boron, J.B., Fausset, C.B., Adams, A.E., Charness, N., Czaja, S.J.: Older adults talk technology: technology usage and attitudes. Comput. Hum. Behav. 26(6), 1710–1721 (2010)
Hola, J., Pikhart, M.: The implementation of internal communication system as a way to company efficiency. E&M 17(2), 161–169 (2014)
Yusif, S., Soar, J., Hafeez-Baig, A.: Older people, assistive technologies, and the barriers to adoption: a systematic review. Int. J. Med. Inform. 94, 112–116 (2016)
Acknowledgements
This study is supported by the SPEV project 2018, run at the Faculty of Informatics and Management, University of Hradec Kralove, Czech Republic. The authors thank Josef Toman for his help with the data collection.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Klimova, B., Poulova, P. (2018). Older People and Technology Acceptance. In: Zhou, J., Salvendy, G. (eds) Human Aspects of IT for the Aged Population. Acceptance, Communication and Participation. ITAP 2018. Lecture Notes in Computer Science(), vol 10926. Springer, Cham. https://doi.org/10.1007/978-3-319-92034-4_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-92034-4_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-92033-7
Online ISBN: 978-3-319-92034-4
eBook Packages: Computer ScienceComputer Science (R0)