Personalised Measurement Design: Implementing Industry 5.0

Introduction

Implementing the design of personalized measurement of human-computer interaction (HCI) for Industry 5.0 involves committed rich data examination by experts aware of how big data is transforming business and society (McKay & Mohamad, 2018). Passing from Industry 4.0 towards 5.0 has meant massive disruption for commerce (Marr, 2016). For instance: this sustainable awareness through improved wireless communications (Alsharif & Nordin, 2017) and finding data behaviour patterns amongst the data messiness (Melendez, 2015; Schöch, 2013). However, few authors agree on what constitutes big data, depending on the philosophical stance taken (McKay & Mohamad, 2018)—keeping such data archived for appropriate retrieval poses major global cyber security issues and crosses ethical boundaries.

This chapter discusses five topics to illustrate where the concept of personalized measurement design fits within Industry 5.0. The first section explains how digital transformation has merged multi-disciplinary specializations, such as the community-rich society created by Derek Powazek (2002), concerning his ideas for artful design for connecting real people in virtual places that are now commonplace. The second section discusses practical preparations for personalizing measurement design to eliminate otherwise subjective decisions leading to incorrect and poor-quality outcomes. The third section shows how the social science knowledge society opens an Industry 5.0 pathway to fully automated IoT human-computer interaction (HCI) connectivity (McKay, 2008). Then the fourth section is about designing flexible online assessment practices, while the final section discusses the next generation of learning analytics.