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Smartphone Overuse in the Old Age: A Qualitative Exploration on Actual Smartphone Use and Perceptions Among Italian Older Heavy Users

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Human Aspects of IT for the Aged Population. Technology Design and Acceptance (HCII 2021)

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Abstract

This article investigates the phenomenon of smartphone overuse among a group of Italian older users. Drawing on the analysis of 20 qualitative interviews and smartphone log data of the same group, the article explores the actual use of smartphone in older people everyday life against their perceptions about permanent connection and digital overuse. The article concludes that, notwithstanding a limited use of smartphones, overuse is an important cultural topic in their narrations about everyday use of such a device. Specifically, interviewees feel trapped within unwanted forms of sociality (especially related messaging apps) that they perceive artificial and shallow. This condition leads participants to use smartphones as less as possible and only to accomplish practical and instrumental tasks. This article aims at contributing to studies on media ideologies, which are still limited regarding older people’s smartphone ideologies.

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Notes

  1. 1.

    Q Methodology is a research method created by William Stephenson (1902–1989) to study people’s viewpoint on specific subjects. Q methodology makes use of factor analysis to look for correlations between subjects across a sample of variables. In this way, it reveals and describes divergent views as well as consensus in a group [56].

  2. 2.

    There are different ways of defining older people, according to the World Health Organization older people in developed World economies are usually defined as individual aged 65 years or more [59].

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Acknowledgements

This work was supported by the Fondazione Cariplo (Bando 2017, ricerca scientifica: Ricerca sociale sull’invecchiamento: persone, luoghi e relazioni. Project name: “Aging in a networked society. Older people, social networks and well-being”) – No Grant Number.

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Correspondence to Alessandro Caliandro .

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Appendix

Appendix

Participant

Gender

Age

Marital status

Education

Last occupation

1

M

71

Married

High school degree

Director

2

M

71

Married

High school degree

Manager

3

M

75

Widow

High school degree

Technician

4

M

72

Married

High school degree

Clerical worker

5

M

70

Married

High school degree

Clerical worker

6

M

70

Married

Middle school degree

Director

7

M

65

Married

High school degree

Manager

8

M

72

Married

University degree

Director

9

M

62

Married

High school degree

Clerical worker

10

M

75

Married

High school degree

Manager

11

M

74

Married

High school degree

Clerical worker

12

F

66

Single

Middle school degree

Clerical worker

13

F

71

Married

HIGH school degree

Clerical worker

14

F

70

Married

Middle school degree

Plant operator

15

F

70

Married

Elementary school degree

Plant operator

16

M

68

Married

University degree

Manager

17

M

76

Widow

High school degree

Clerical worker

18

F

70

Married

Elementary school degree

Plant operator

19

M

71

Widow

University degree

Free Lance worker

20

M

73

Married

High school degree

Technician

21

M

63

Married

High school degree

Director

22

F

68

Married

Middle school degree

Plant operator

23

F

72

Widow

High school degree

Clerical worker

24

M

61

Married

University degree

Manager

25

M

76

Married

Middle school degree

Craft worker

26

M

73

Single

University school degree

Director

27

F

69

Married

High school degree

Sales worker

28

M

74

Married

High school degree

Clerical worker

29

F

75

Married

Elementary school degree

Clerical worker

30

F

70

Married

High school degree

Manager

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Caliandro, A., Gui, M., Di Leva, A., Sturiale, V. (2021). Smartphone Overuse in the Old Age: A Qualitative Exploration on Actual Smartphone Use and Perceptions Among Italian Older Heavy Users. In: Gao, Q., Zhou, J. (eds) Human Aspects of IT for the Aged Population. Technology Design and Acceptance. HCII 2021. Lecture Notes in Computer Science(), vol 12786. Springer, Cham. https://doi.org/10.1007/978-3-030-78108-8_27

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