Interviewer: What is your name position/role and your institution?

Natalie Leesakul: Hi my name is Natalie Leesakul i'm a fourth year phd candidate from horizon center for doctoral training and i am working in partnership with DigiTOP.

Interviewer: Can you provide a short overview of the research you have conducted?

Natalie Leesakul: My phd is a socio-legal research and i'm investigating the legal ethical and social impact of human robot collaboration in digital manufacturing and to achieve this objective i have conducted an empirical study by interviewing experts in the fields relevant to the adoption of technology. The experts include manufacturers, lawyers, consultants and senior researchers. I'm also conducting a doctrinal research following the legal challenges found in empirical study in order to provide further analysis on the current legal frameworks and recommendations.

Interviewer: Can you explain what the outcomes of your research mean for users/industry?

Natalie Leesakul: So through my research i aim to bridge the gap between different stakeholders understanding of the acceptance and adoption challenges when it comes to human robot collaboration. Often i found that there is a tension between law and technology with the law being to blame for the lack of human robot collaboration adoption as well as there are concerns on automation leads to job displacement.

However, i have found that there are various challenges when it comes to the adoptions and acceptance of human robot collaboration ranging from general business operational costs to trust to insurance mechanism to ethical and environmental considerations.

So i believe that the outcomes of this research can be transformed into a working toolkit that will enable organizations to utilize the research findings in supporting their decision making process.

So my colleagues and i actually have worked on a paper to explore the implications of technology adoptions in digital manufacturing on a sustainable workforce.

So our paper is based on the findings from the expert interviews and a survey conducted to explore whether the opinions of the experts could be generalized to the oppo to the populational level and in our paper we highlight the need to understand the wider human factors implications to better strategize technology adoption.

So we recommended um interventions targeted at individual employees and at the organizational's level to encourage a sustainable workforce in digital manufacturing and some of the interventions include encouragement for more input of the workforce on the accusations and safety decisions of the technology or to increase the job security through better training and to understand and manage change in mental workload experienced by the employees due to adoptions of manufacturing technologies and robotics