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Ivan Poliakov

dblp:80/5306 · DBLP profile ↗
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7ranked-venue papers
1as first author
0since 2021 · last 2019
0000-0003-4902-1198ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3Artificial intelligence and machine learning · 2Theory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Health and well-being technologies · 41% Accessibility and assistive technology · 36% Wearable and physiological sensing · 23%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology › assistive technology
wearable assistive device
0.212014
Exploring the acceptability of google glass as an everyday assistive device for people with parkinson's · CHI 2014

Methods — techniques the papers use, named apart from their topics

evaluation · 0.2application development · 0.2qualitative study · 0.2field trial · 0.2
YearPublicationVenuePosition
2019 Recommender system based on pairwise association rules
abstract
Recommender systems based on methods such as collaborative and content-based filtering rely on extensive user profiles and item descriptors as well as on an extensive history of user preferences. Such methods face a number of challenges; including the cold-start problem in systems characterized by irregular usage, privacy concerns, and contexts where the range of indicators representing user interests is limited. We describe a recommender algorithm that builds a model of collective preferences independently of personal user interests and does not require a complex system of ratings. The performance of the algorithm is analyzed on a large transactional data set generated by a real-world dietary intake recall system.
Timur Osadchiy, Ivan Poliakov, Patrick Olivier, Maisie Rowland, Emma Foster
Expert Syst. Appl.2
2019 Corrigendum to "Recommender system based on pairwise association rules" [Expert Systems With Applications 115 (2018) 535-542]
Timur Osadchiy, Ivan Poliakov, Patrick Olivier, Maisie Rowland, Emma Foster
Expert Syst. Appl.2
2017 Our Year With the Glass: Expectations, Letdowns and Ethical Dilemmas of Technology Trials With Vulnerable People
abstract
In this paper, we reflect upon the ethical dilemmas faced during our research exploring the potential of Google Glass as a self-care technology for people with Parkinson's. Our project involved two stages of research: an initial study that explored the overall acceptability and responses of people with Parkinson's to the technology; and a follow-up study that examined participants’ experiences of the technology in more depth through further trials and a series of co-design activities. While our first trials were successful, leading to publication and subsequent local and national publicity, our follow-up trials were hampered by technical problems that were often out of our control. We highlight how participants’ heightened expectations prior to the second trial, as a result of public discourse around the project, were difficult to meet. This led to our participants articulating their frustrations, feelings of lowered self-confidence, and in some cases a reduced sense of self-worth. We reflect on how the decisions and actions taken during the project led to these dilemmas, and how these relate to contemporary challenges in human-computer interaction research where there is increased focus on in the wild studies of technology use and a pressure to publicly disseminate the findings of research. In doing so, we offer an open and honest account of how a set of ethical dilemmas emerged while conducting technology field trials with a potentially vulnerable group, and offer guidance to future researchers finding themselves in similar circumstances. We conducted ‘in the wild’ deployments of Google Glass with people with Parkinson's. There were several ethical implications of conducting this type of research, wherein the technology in question was still being developed and updated by its commercial manufacturer. Prior publicity about our project caused participants to formulate overly positive preconceptions around the technology. We reflect in detail on some of the decisions and actions taken during the project, and discuss strategies for researchers to take into account in future studies that might help anticipate, avoid and negotiate ethical dilemmas in the future.
John Vines, Roisin McNaney, Amey Holden, Ivan Poliakov, Peter C. Wright, Patrick Olivier
Interact. Comput.4
2015 LApp: A Speech Loudness Application for People with Parkinson's on Google Glass
abstract
Reduced vocal volume in Parkinson's is extremely common and can have significant social and emotional impact. We describe the development and evaluation of LApp--an application for Google Glass to help people with Parkinson's (PwP) monitor their speech volume and cue themselves to speak louder when necessary. Our findings highlight enthusiasm for using the application both at home as a volume training tool and in public social settings as a situated cueing device. We contribute insights to the literature on how eyewear technologies can provide assistance to people with health conditions and offer insights for the design of future self-monitoring and management applications on Google Glass.
Roisin McNaney, Ivan Poliakov, John Vines, Madeline Balaam, Patrick Olivier
CHI2
2014 Exploring the acceptability of google glass as an everyday assistive device for people with parkinson's
abstract
We describe a qualitative study investigating the acceptability of the Google Glass eyewear computer to people with Parkinson's disease (PD). We held a workshop with 5 PD patients and 2 carers exploring perceptions of Glass. This was followed by 5-day field trials of Glass with 4 PD patients, where participants wore the device during everyday activities at home and in public. We report generally positive responses to Glass as a device to instil confidence and safety for this potentially vulnerable group. We also raise concerns related to the potential for Glass to reaffirm dependency on others and stigmatise wearers.
Roisin McNaney, John Vines, Daniel Roggen, Madeline Balaam, Ivan Poliakov, Patrick Olivier
CHI6
2009 Workcraft - A Framework for Interpreted Graph Models
Ivan Poliakov, Victor Khomenko, Alexandre Yakovlev
Petri Nets1
2008 Analysis of Static Data Flow Structures
Danil Sokolov, Ivan Poliakov, Alexandre Yakovlev
Fundam. Informaticae2