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Usage of Mobile Phones Amongst Elderly People in Pakistan

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Advances in Ergonomics in Design (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 588))

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Abstract

The cumulative development and utilization of innovation presents encounters for older people and they often experience trouble in utilizing new innovation. This research observed the smart phone usage patterns and preference of specific functions among older people in Pakistan. Two methods are used to investigate the results. Firstly, focus group discussion (FGD) was directed to eight older smart phone users to explore their utilization patterns and issues of usage. The second method is a questionnaire survey, a questionnaire was administrated to 100 participants aged 45 and over to comprehend their inclination of smart phone functions. The research discovered that some specific smart phone functions were thought to be more imperative for older people. The eleven functions most frequently used by the respondents are calling, display date and time, emergency button, address book, camera, calculator, alarm, contact pictures, wi-fi Internet, calendar and torch. The outcomes of this research can facilitate the design of smart phones for the older populace.

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Author information

Authors and Affiliations

  1. The University of Lahore, Gujrat, Pakistan

    Zunaira Ilyas Bhutta & Javed Anjum Sheikh

  2. University of Gujrat, Sialkot Campus, Sialkot, Pakistan

    Azeem Yousaf

Authors
  1. Zunaira Ilyas Bhutta
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  2. Javed Anjum Sheikh
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  3. Azeem Yousaf
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Correspondence to Zunaira Ilyas Bhutta .

Editor information

Editors and Affiliations

  1. Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz Quebrada, Portugal

    Francisco Rebelo

  2. Federal University of Pernambuco, Recife, Pernambuco, Brazil

    Marcelo Soares

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Bhutta, Z.I., Sheikh, J.A., Yousaf, A. (2018). Usage of Mobile Phones Amongst Elderly People in Pakistan. In: Rebelo, F., Soares, M. (eds) Advances in Ergonomics in Design. AHFE 2017. Advances in Intelligent Systems and Computing, vol 588. Springer, Cham. https://doi.org/10.1007/978-3-319-60582-1_62

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  • DOI: https://doi.org/10.1007/978-3-319-60582-1_62

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