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.

A Conceptual Evaluation of the Data as Partner (DAP) Framework

“…The five key themes provide valuable practitioner-informed insights from data analysis experts to refine the DAP conceptual framework and enhance its real-world application. The prominence of assessing practical applicability and performance impact aligns with key technology adoption models like DAPT that emphasise perceived usefulness as a driver of uptake [1]. This indicates that demonstrating the framework's capacity to address real challenges and tangibly improve outcomes is vital for integration in applied settings.…”

“…Larger samples spanning various nations could reveal additional viewpoints. Conducted questionnaires or surveys on the DAP framework focussed on acceptability of automation provided valuable data on attitudes and adoption readiness [1]. Future research should also evaluate the framework longitudinally after implementation through case studies and expert interviews to assess on-ground impact.…”

“…The research methodology encompassed a systematic review to construct the framework and identify its constituent components. The review process commenced by conducting a comprehensive search across multiple databases, yielding a total of 380 relevant documents [1]. Employing specific keywords for the search ensured precision and relevance in document retrieval.…”

“…Research carried previously indicates widespread acceptance of data automation among individuals, with 69.6% of survey respondents believing it represents the future of superior data management. Though, 26.4% personally oppose automation, highlighting the need to understand diverse perceptions [1]. Data automation i.e., using technology to perform tasks competently to process, manage, analyse data; has been leveraged for decades across industries, dramatically enhancing efficiency and accuracy while reducing human intervention [2].…”