This article presents the results of a qualitative-quantitative research on the rela-tionship between work background and digital media use among the elderly. The aim of the study is to investigate the relationship between gender, employment status and professional level, and the technological endowments, skills, use and appropriation processes of ICT by the elderly. A sample of 900 Italians between 65 and 74 years old was used for quantitative analysis, together with 20 in-depth interviews. The research was conducted between December 2013 and April 2014. From the results it emerges that gender, working condition and profession-al level differently influence technological endowment, frequency of use of Inter-net and PC and Social Networks, while gender, income and educational qualifica-tion determine IT competence. This evidence was further corroborated and en-riched by the ethnographic investigation
Carlo, S., Buscicchio, G., Work, Digital Devices and Later Life: A Quanti-qualitative Research, in Qin Gao, J. Z. (ed.), Human Aspects of IT for the Aged Population. Design, Interaction and Technology Acceptance. 8th International Conference, ITAP 2022Held as Part of the 24th HCI International Conference, HCII 2022. Virtual Event, June 26 – July 1, 2022, Springer Nature, Cham 2022: 13330 LNCS 451- 465. 10.1007/978-3-031-05581-2_32 [http://hdl.handle.net/10807/215564]
Work, Digital Devices and Later Life: A Quanti-qualitative Research
Carlo, Simone
;Buscicchio, Giulia
2022
Abstract
This article presents the results of a qualitative-quantitative research on the rela-tionship between work background and digital media use among the elderly. The aim of the study is to investigate the relationship between gender, employment status and professional level, and the technological endowments, skills, use and appropriation processes of ICT by the elderly. A sample of 900 Italians between 65 and 74 years old was used for quantitative analysis, together with 20 in-depth interviews. The research was conducted between December 2013 and April 2014. From the results it emerges that gender, working condition and profession-al level differently influence technological endowment, frequency of use of Inter-net and PC and Social Networks, while gender, income and educational qualifica-tion determine IT competence. This evidence was further corroborated and en-riched by the ethnographic investigation
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