Interviewer: What is your name position/role and your institution?
Joshua Duvnjak: Hi, i'm Joshua Duvnjak i am a PHD student with the Horizon CDT which is based in Computer Science but i am based in the human factors research group as part of this Horizon CDT project at the University of Nottingham.
Interviewer: Can you provide a short overview of the research you have conducted?
Joshua Duvnjak: So i i am in my second year of my PHD i'm midway through but the first year was kind of planning for the projects i'm doing as part of my Horizon CDT doctoral training program.
So i've only just started to get into doing my research at the moment.
So i'm currently have ran a pilot study um looking at quality control environments and how automation can affect this.
It's currently being worked on at the moment and data has been collected so hopefully that will be potentially used as a platform to run future quality control based experiments so this was done online using online participant platforms um and was run completely online due to um coronavirus and the difficulty with getting participants um in real world scenarios.
Previously though i was also helping out with the Digitop project so i've worked with other members of the Digitop team to help complete studies or do such as working on analysis or just generally helping with piloting and other things like that.
Interviewer: Can you explain what the outcomes of your research mean for users/industry?
Joshua Duvnjak: As part of my PHD i'm looking quite significantly at automation and kind of within automation i'm looking at trust and personal data.
So i'm hoping that the outcomes are able to adjust how we think about trust and personal data within automated systems so this would hopefully be able to bring benefits to the users who are working with automation working alongside automation perhaps on a day-to-day basis.
Um either in physical environments perhaps robotics or within kind of digital environments such as decision support systems which my current study is utilizing.
So these would hopefully allow kind of benefits in productivity or efficiency and using automated systems by having this linking with the trust within automated systems and the personal data is quite a key component of this.
So for future works i'm going to potentially look at using customization as quite a big part of affecting trust within alternative systems to allow for the greatest benefits for users and this in turn will benefit industry by having this stronger link with trust on automated systems.