Data as Partner (DAP): Integrating Automation with Daily Living

Sonia Hassan; Drishty Sobnath; Esther Snell; Femi Isiaq

doi:10.1109/ISC255366.2022.9922431

Data as Partner (DAP): Integrating Automation with Daily Living

Sonia Hassan, Drishty Sobnath, Esther Snell, Femi Isiaq

Research output: Chapter in Book/Report/Published conference proceeding › Conference contribution › peer-review

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Abstract

This paper addresses the need to infuse automation of data management in daily lives and how beneficial it can be for people with Disabilities (PwD) and the general public. This paper presents the idea of making Data a Partner (DAP) so that data can act as a partner to humans; learning from its actions and decisions, making it self-sufficient to take its own decisions by learning from a human. This paper also presents a theoretical model called DAPT, which focuses on four sections of the survey conducted to assess the acceptability ratio in masses. Statistical analysis was performed on the survey conducted using SPSS. The survey's outcome, which gathered 875 responses, clarifies that 69.6% of the respondents voted that infusing automation in daily lives leads the way to the future of data management by automation. The survey concluded that infusing automation into daily lives can be helpful, especially for people with disabilities (PwD), such as those with visually impaired people.

Original language	English
Title of host publication	2022 IEEE International Smart Cities Conference (ISC2)
Publisher	IEEE
Pages	1-7
Number of pages	7
ISBN (Print)	9781665485616
DOIs	https://doi.org/10.1109/ISC255366.2022.9922431
Publication status	Published - 3 Nov 2022

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paper_232Accepted author manuscript, 0.98 MBLicence: CC BY-NC-ND

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title = "Data as Partner (DAP): Integrating Automation with Daily Living",

abstract = "This paper addresses the need to infuse automation of data management in daily lives and how beneficial it can be for people with Disabilities (PwD) and the general public. This paper presents the idea of making Data a Partner (DAP) so that data can act as a partner to humans; learning from its actions and decisions, making it self-sufficient to take its own decisions by learning from a human. This paper also presents a theoretical model called DAPT, which focuses on four sections of the survey conducted to assess the acceptability ratio in masses. Statistical analysis was performed on the survey conducted using SPSS. The survey's outcome, which gathered 875 responses, clarifies that 69.6% of the respondents voted that infusing automation in daily lives leads the way to the future of data management by automation. The survey concluded that infusing automation into daily lives can be helpful, especially for people with disabilities (PwD), such as those with visually impaired people.",

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AU - Hassan, Sonia

AU - Sobnath, Drishty

AU - Snell, Esther

AU - Isiaq, Femi

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N2 - This paper addresses the need to infuse automation of data management in daily lives and how beneficial it can be for people with Disabilities (PwD) and the general public. This paper presents the idea of making Data a Partner (DAP) so that data can act as a partner to humans; learning from its actions and decisions, making it self-sufficient to take its own decisions by learning from a human. This paper also presents a theoretical model called DAPT, which focuses on four sections of the survey conducted to assess the acceptability ratio in masses. Statistical analysis was performed on the survey conducted using SPSS. The survey's outcome, which gathered 875 responses, clarifies that 69.6% of the respondents voted that infusing automation in daily lives leads the way to the future of data management by automation. The survey concluded that infusing automation into daily lives can be helpful, especially for people with disabilities (PwD), such as those with visually impaired people.

AB - This paper addresses the need to infuse automation of data management in daily lives and how beneficial it can be for people with Disabilities (PwD) and the general public. This paper presents the idea of making Data a Partner (DAP) so that data can act as a partner to humans; learning from its actions and decisions, making it self-sufficient to take its own decisions by learning from a human. This paper also presents a theoretical model called DAPT, which focuses on four sections of the survey conducted to assess the acceptability ratio in masses. Statistical analysis was performed on the survey conducted using SPSS. The survey's outcome, which gathered 875 responses, clarifies that 69.6% of the respondents voted that infusing automation in daily lives leads the way to the future of data management by automation. The survey concluded that infusing automation into daily lives can be helpful, especially for people with disabilities (PwD), such as those with visually impaired people.

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Data as Partner (DAP): Integrating Automation with Daily Living

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