post by Matthew Yates (2018 cohort)
Hello everyone! I’m a 3rd year Horizon CDT PhD student partnered with the Defence Science and Technology Laboratory (Dstl). My PhD project is about the detection of deep learning generated aerial images, with the final goal of improving current detection models.
For this study, I am looking for participants to take part in my short online study on detecting fake aerial images. We have used Generative Adversarial Networks (GANs) to create these.
I am looking for participants from all backgrounds, as well as those who have specific experience in dealing with either Earth Observation Data (e.g. aerial imagery, satellite images) or GAN-generated images.
Purpose: To assess the difficulty in the task of distinguishing GAN-generated fake images from real aerial photos of rural and urban environments. This is part of a larger PhD project looking at the generation and detection of fake earth observation data.
Who can participate? This is open to anyone who would like to take part, although the involvement of people with experience dealing with related image data (e.g. satellite images, GAN images) is of particular interest.
Commitment: The study should take between 5-15 minutes to complete and is hosted online on pavlovia.org
How to participate? Read through this Information sheet and follow the link to the study at the end.
Link to study: Detecting Fake Aerial Imagery
For any additional information or queries please feel free to contact me: firstname.lastname@example.org
Thanks for your time,
post by Ana Rita Pena (2019 cohort)
My PhD is investigating how technologies to protect individual’s privacy in automated decision for loan applications impact people. Within the scope of this broad topic, I am interested in personal experiences of loan applications in regard to trust, fairness and decision making.
I am currently recruiting for my next study: Attitudes and experiences with Loan Applications: UK context. The study is made up of a 45 minute interview (held online) and a follow-up online survey.
This study aims to understand how people feel about loan applications, data sharing in this context, and how well they understand the decision process behind these decisions.
We will be focusing on personal loans in particular. Participants will not have to disclose specific information about the loan they applied for (in regards to monetary value for example) but are invited to reflect on their experiences.
I am looking to recruit people who:
— are over the age of 18
— have applied for a loan in the UK
— are proficient in English
— able to provide consent to their participation
Participation in the study will be compensated with a £15 online shopping voucher.
More information about the interview study can be found here.
If you have any further questions or are interested in participating, don’t hesitate to contact me at email@example.com
Ana Rita Pena
PhD researcher Christian Tamakloe (2016 Cohort) is currently recruiting participants to take part in an interview-based study.
The study forms part of a PhD project to explore how data from digital self-tracking technologies (such as smartphones and wearables e.g. Fitbits) can be used to better understand how and why business rail passengers use and value their time while travelling, as well as how this influences their travel behavior. Insights from the project will be used to power novel tools/ apps and services that will enable passengers to plan their rail trips around their preferred time use, improving their overall journey experience.
This study is open to individuals who undertake work-related journeys via train fairly often. This could be at least two short/medium-distance (1.5 – 3 hours , cross-regional/national ) trips a month, during business hours for work purposes (e.g. attending conferences/trade fairs, internal/external meetings, visiting clients/suppliers/partners, etc.) or long-distance commutes (typically around 2 hours).
Interview questions will revolve around preparations for journeys, activities engage d in at different stages and places of the journey, devices used and any strategies /hacks relied on to make the most of the time spent travelling.
The interview itself will last no longer than an hour and participants will be compensated for their time with £15 Amazon vouchers.
The study has been approved by the University of Nottingham Faculty of Engineering Ethics committee and all data will be recorded anonymously and used strictly for research purposes only. Participants are free to withdraw at any time during the interview .
Your involvement will help discover how to improve the rail journey experience. If you are interested in taking part in the study or would just like to know more about the research please leave your contact details at http://bit.ly/InterviewMe2 and/or send an email to Christian via Christian.Tamakloe@nottingham.ac.uk