Ivan Poliakov
Senior Research Associate
My background is in computing science and software engineering. I have worked on a number of diverse projects, including 3D graphics software, CAD tools (my PhD research was focused on developing a graphical tool for asynchronous circuit modelling called “Workcraft“), and web-based systems: School in the Cloud, and Intake24.
My interests include computer graphics, virtual reality, mobile and wearable technology, functional programming, IT automation.
Intake24: A 24-hour dietary recall system
2020
Progressive 24-Hour Recall: Usability Study of Short Retention Intervals in Web-Based Dietary Assessment Surveys
2020 – Journal of Medical Internet Research
2019
Recommender system based on pairwise association rules
2019 – Expert Systems with Applications
Corrigendum to “Recommender system based on pairwise association rules” [Expert Systems With Applications 115 (2018) 535–542]
2019 – Expert Systems with Applications
Validity and reliability of an online self-report 24-hour dietary recall method (Intake24): A doubly-labelled water study and repeated measures analysis
2019 – Journal of Nutritional Science
2018
Field Testing of the Use of Intake24 - An Online 24-Hour Dietary Recall System
2018 – Nutrients
2017
Our Year with the Glass: Expectations, Letdowns and Ethical Dilemmas of Technology Trials with Vulnerable People
2017 – Interacting with Computers
Iterative Development of an Online Dietary Recall Tool: INTAKE24
2017 – Nutrients
2016
Comparison of INTAKE24 (an Online 24-h Dietary Recall Tool) with Interviewer-Led 24-h Recall in 11–24 Year-Old
2016 – Nutrients
2015
LApp: A Speech Loudness Application for People with Parkinson's on Google Glass
2015 – Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15)
Iterative development of an online dietary recall tool, INTAKE24
2015 – Proceedings of the Nutrition Society
LApp: A Speech Loudness Application for People with Parkinson's on Google Glass
2015 – 33rd Annual ACM Conference on Human Factors in Computing Systems
Comparison of INTAKE24 (an online 24hr dietary recall tool) with an interviewer-led 24hr recall method in 11-16 year olds
2015 – Nutrition Society Summer Meeting
2014
An exploration of the feasibility of using Google Glass for dietary assessment
2014 – School of Computing Science Technical Report Series
Testing the feasibility of Intake24 as an portion size estimation aid
2014 – School of Computing Science Technical Report Series
Exploring the Acceptability of Google Glass as an Everyday Assistive Device for People with Parkinson's
2014 – SIGCHI Conference on Human Factors in Computing Systems