Radoslaw Nielek

Polish-Japanese Academy of Information Technology | PJWSTK · Department of Computer Networks

The feeling of anxiety and loneliness among aging population has been recently amplified by the COVID-19 related lockdowns. Emotion-aware multimodal bot application combining voice and visual interface was developed to address the problem in the group of older citizens. The application is novel as it combines three main modules: information, emotio...

In this exploratory study we evaluated the engagement, performance and preferences of older adults who interacted with different citizen science tasks. Out of 40 projects recently active on the Zooniverse platform we selected top ones to be represented by 8 diverse, yet standardized, microtasks, 2 in each category of image, audio, text and pattern...

In this article we propose a unique framework for designing attractive and engaging crowdsourcing systems for older adults, which is called AFFORCE (Actionable Framework For Crowdsourcing Experiences). We first categorize and map mitigating factors and barriers to crowdsourcing for older adults to finally discuss, present and combine system element...

Digital transformation (DT) is the process of transformation of the business world with the use of information and communication technology (ICT) solutions. It not only has a large impact on organizations – their competitiveness and performance, but also on employee well-being and their stress levels. To measure the stress associated with such digi...

Until very recently, any age-related design adaptations were limited to the audiovisual layer of the application. The Internet relies vastly on algorithms, such as recommendation or trust management systems, that shape online experiences, but they have usually been designed to meet the needs of younger adults. Development teams composed mostly of y...

The number of older adults using e-commerce platform has grown rapidly in recent years. This has created a whole lot of challenges and research problems in the field of adapting e-commerce systems and algorithms to the needs of older adults. In the current study We have conducted an experiment involving 60 older adults whose task was to participate...

The number of older consumers making e-commerce purchasing decisions is constantly rising. We examined the impact of age-related cognitive limitations on older adults’ choices in a series of multi-attribute choice tasks designed to mimic the process of products comparison and selection on e-commerce platforms. 135 older, middle-aged and younger adu...

In this exploratory study we evaluated the engagement, performance and preferences of older adults who interacted with different citizen science tasks. Out of 40 projects recently active on the Zooniverse platform we selected top ones to be represented by 8 diverse, yet standardized, microtasks, 2 in each category of image, audio, text and pattern...

Including older adults as full stakeholders in digital society.

In this paper we show how the age of scientific papers can be predicted given a diachronic corpus of papers from a particular domain published over a certain time period. We first train ordinal regression models for the task of predicting the age of individual sentences by fine-tuning series of BERT models for binary classification. We then aggrega...

This article shows a solution to the problem of predicting the availability of vehicles rented per minute in a city. A grid-based spatial model with use of LSTM network augmented with Time Distribution Layer was developed and tested against actual vehicle availability dataset. The dataset was also made publicly available for researchers as a part o...

Based on our research on the Wikipedia interface and crowdsourcing with older adults, we propose a conversational interface to streamline Wikipedia editing, engage new contributors and increase their well-being. The use of a conversational interface may mitigate the problem of a steep learning curve for new contributors to encourage more people to...

This paper presents a novel recommendation system for investment managers using real data from asset management companies. The recommender can be viewed as a fuzzy expert system. As a matter of fact, this is an explainable recommender that works as a one-class classifier with an explanation. The inference rules, explanations, and visualizations of...

In this paper we refine our method of measuring the innovativeness of scientific papers. Given a diachronic corpus of papers from a particular field of study, published over a period of a number of years, we extract latent topics and train an ordinal regression model to predict publication years based on topic distributions. Using the prediction er...

In the paper, fuzzy recommender systems are proposed based on the novel method for nominal attribute coding. Several flexibility parameters - subjects to learning - are incorporated to their construction, allowing systems to better represent patterns encoded in data. The learning process does not affect the initial interpretable form of fuzzy recom...

Citation analysis does not tell the whole story about the innovativeness of scientific papers. Works by prominent authors tend to receive disproportionately many citations, while publications by less well-known researchers covering the same topics may not attract as much attention. In this paper we address the shortcomings of traditional scientomet...

Assessing users' emotional reactions plays an important role in modern technologies - from image classification and crowd-sourcing, through assessing user experience, to sentiment analysis for social media and marketing data. Providing easy-to-use and enjoyable emotion tagging tools is of key importance in encouraging users to share their reactions...

This paper presents a novel approach to the design of explainable recommender systems. It is based on the Wang–Mendel algorithm of fuzzy rule generation. A method for the learning and reduction of the fuzzy recommender is proposed along with feature encoding. Three criteria, including the Akaike information criterion, are used for evaluating an opt...

In this paper we report the results of a pilot study comparing the older and younger adults’ interaction with an Android TV application which enables users to detect errors in video subtitles. Overall, the interaction with the TV-mediated crowdsourcing system relying on language proficiency was seen as intuitive, fun and accessible, but also cognit...

The below acknowledgement was missing in the original version of this article. This work by Fabio Casati was supported by the project “Evaluation and enhancement of social, economic and emotional wellbeing of older adults” under the agreement no. 14.Z50.310029, Tomsk Polytechnic University. © 2018, Springer Science+Business Media, LLC, part of Spri...

We have developed an agent-based model of e-commerce platform users’ behavior with emphasis on reflecting decision-making characteristics of elderly adults. The model has been used to verify how cognitive deficits of older customers influence the effectiveness of collaborative filtering and content-based recommender systems. The results from our si...

This paper presents an application of the Zero-Order Takagi-Sugeno-Kang method to explainable recommender systems. The method is based on the Wang-Mendel and the Nozaki-Ishibuchi-Tanaka techniques for the generation of fuzzy rules, and it is best suited to predict users’ ratings. The model can be optimized using the Grey Wolf Optimizer without affe...

In this paper we report the results of a pilot study comparing the older and younger adults' interaction with an Android TV application which enables users to detect errors in video subtitles. Overall, the interaction with the TV-mediated crowdsourcing system relying on language profficiency was seen as intuitive, fun and accessible, but also cogni...

Social participation is known to bring great benefits to the health and well-being of people as they age. From being in contact with others to engaging in group activities, keeping socially active can help slow down the effects of age-related declines and reduce risks of loneliness and social isolation and even mortality in old age. There are unfor...

This paper discusses to what extent the browsing context needs to be taken into account when considering web credibility ratings. We focus on the availability of other websites on the same topic and the browsing purpose as two factors that can potentially influence how people perceive credibility and how accurate their judgments are when contrasted...

In this paper we describe the insights from an exploratory qualitative pilot study testing the feasibility of a solution that would encourage older adults to participate in online crowdsourcing tasks in a non-computer scenario. Therefore, we developed an Android TV application using Amara API to retrieve subtitles for TEDx talks which allows the pa...

Globally observed trends in aging indicate that older adults constitute a growing share of the population and an increasing demographic in the modern technologies marketplace. Therefore, it has become important to address the issue of participation of older adults in the process of developing solutions suitable for their group. In this study, we ap...

Friendships and social interactions are renown contributors to wellbeing. As such, keeping a healthy amount of relationships becomes very important as people age and the size of their social network tends to decrease. In this paper , we take a step back and explore reconnection -- find out about or re-contact old friends, an emerging topic due to t...

We investigated how product attributes, average consumer ratings, and single affect-rich positive or negative consumer reviews influenced hypothetical online purchasing decisions of younger and older adults. In line with previous research, we found that younger adults used all three types of information: they clearly preferred products with better...

Friendships and social interactions are renown contributors to wellbeing. As such, keeping a healthy amount of relationships becomes very important as people age and the size of their social network tends to decrease. In this paper, we take a step back and explore reconnection -- find out about or re-contact old friends, an emerging topic due to th...

This paper presents a new method of engaging older participants in the process of application and IT solutions development for older adults for emerging IT and tech startups. A new method called SPIRAL (Support for Participant Involvement in Rapid and Agile software development Labs) is proposed which adds both sustainability and flexibility to the...

Globally observed trends in aging indicate that older adults constitute a growing share of the population and an increasing demographic in the modern technologies marketplace. Therefore, it has become important to address the issue of participation of older adults in the process of developing solutions suitable for their group. In this study, we ap...

Labeling images is essential towards enabling the search and organization of digital media. This is true for both "factual", objective tags such as time, place and people, as well as for subjective labels, such as the emotion a picture generates. Indeed, the ability to associate emotions to images is one of the key functionality most image analysis...

With the growing number of older adults who adopt mobile technology in their life, a new form of challenge faces both them, as well as the software engineering communities. This challenge is the issue of safety, not only in the context of risk older adults already face online, but also, due to the mobile nature of the used applications, real life s...

This paper presents a new method of engaging older participants in the process of application and IT solutions development for older adults for emerging IT and tech startups. A new method called SPIRAL (Support for Participant Involvement in Rapid and Agile software development Labs) is proposed which adds both sustainability and flexibility to the...

Controversy is a complex concept that has been attracting attention of scholars from diverse fields. In the era of Internet and social media, detecting controversy and controversial concepts by the means of automatic methods is especially important. Web searchers could be alerted when the contents they consume are controversial or when they attempt...

This paper presents a cooperative location-based game for the elderly with the use of tablets equipped with mobile application. The game was designed to tackle at once several crucial topics related to the issue of aging, namely the social inclusion, education in the field of modern technology, motivation for learning as well as physical activity....

Population aging and the ubiquity of technology in everyday life have made designing solutions for older adults a necessity. User-centered and participatory design approaches include elderly users in the software development process to some extent but do not encourage them to take a leading role in designing applications to address their unmet need...

The goal of our research is to create a predictive model of Web content credibility evaluations, based on human evaluations. The model has to be based on a comprehensive set of independent factors that can be used to guide user’s credibility evaluations in crowdsourced systems like WOT, but also to design machine classifiers of Web content credibil...

With the growing number of older adults who adopt mobile technology in their life, a new form of challenge faces both them, as well as the software engineering communities. This challenge is the issue of safety, not only in the context of risk older adults already face on-line, but also, due to the mobile nature of the used applications, real life...

Understanding of interaction between people and urban spaces is crucial for inclusive decision making process. Smartphones and social media can be a rich source of behavioral and declarative data about urban space, but it threatens to exclude voice of older adults. The platform proposed in the paper attempts to address this issue. A universal taggi...

In this paper we provide a brief summary of development LivingLab PJAIT as an attempt to establish a comprehensive and sustainable ICT-based solution for empowerment of elderly communities towards better urban participation of seniors. We report on our various endeavors for better involvement and participation of older adults in urban life by lower...

Success of Wikipedia would not be possible without the contributions of millions of anonymous Internet users who edit articles, correct mistakes, add links or pictures. At the same time Wikipedia editors are currently overworked and there is always more tasks waiting to be completed than people willing to volunteer. The paper explores the possibili...

In this paper we present our exploratory findings related to extracting knowledge and experiences from a community of senior tourists. By using tools of qualitative analysis as well as review of literature, we managed to verify a set of hypotheses related to the content created by senior tourists when participating in on-line communities. We also p...

Population aging and the ubiquity of technology in everyday life have made designing solutions for older adults a necessity. User-centered and participatory design approaches include elderly users in the software development process to some extent but do not encourage them to take a leading role in designing applications to address their unmet need...

The World Wide Web conference is a well-established and mature venue with an already long history. Over the years it has been attracting papers reporting many important research achievements centered around the Web. In this work we aim at understanding the evolution of WWW conference series by detecting crucial years and important topics. We propos...

Success of Wikipedia would not be possible without the contributions of millions of anonymous Internet users who edit articles, correct mistakes, add links or pictures. At the same time Wikipedia editors are currently overworked and there is always more tasks waiting to be completed than people willing to volunteer. The paper explores the possibili...

Understanding of interaction between people and urban spaces is crucial for inclusive decision making process. Smartphones and social media can be a rich source of behavioral and declarative data about urban space, but it threatens to exclude voice of older adults. The platform proposed in the paper attempts to address this issue. A universal taggi...

In this paper we present the report on the design and development of a platform for the inter-generational exchange of favors. This platform was designed using participatory design approach during a 24-hour hackathon by a team consisting of younger programmers and older adults. The findings of this report show that inter-generational cooperation in...

The efficient use of available resources is a key factor in achieving success on both personal and organizational levels. One of the crucial resources in knowledge economy is time. The ability to force others to adapt to our schedule even if it harms their efficiency can be seen as an outcome of social stratification. The principal objective of thi...

One of the key issues concerning IT systems is Information Security Management. Among the security objectives in the ISO/IEC 27002:2013 standard refers to information security awareness, education and training. In this area there are many important aspects but in this paper authors focus on people, their knowledge and their security awareness. Auth...

The World Wide Web conference is a well-established and mature venue with an already long history. Over the years it has been attracting papers reporting many important research achievements centered around the Web. In this work we aim at understanding the evolution of WWW conference series by detecting crucial years and important topics. We propos...

Machine learning algorithms and recommender systems trained on human ratings are widely in use today. However, human ratings may be associated with a high level of uncertainty and are subjective, influenced by demographic or psychological factors. We propose a new approach to the design of object classes from human ratings: the use of entire distri...

In this paper we present results of research about elderly users of Stack Overflow (Question and Answer portal for programmers). They have different roles, different main activities and different habits. They are an important part of the community, as they tend to have higher reputation and they like to share their knowledge. This is a great exampl...

In this article we present our exploratory research into the occurrence of ageist attitudes within the discussion related to the US 2016 presidential election. We use natural processing techniques to analyze the content tweets related to Hillary Clinton and Donald Trump. Content analysis shows that although ageist attitudes are scarce in the discus...

GitHub is one of the most commonly used web-based code repository hosting service. Majority of projects hosted on GitHub are really small but, on the other hand, developers spend most of their time working in medium to large repositories. Developers can freely join and leave projects following their current needs and interests. Based on real data c...

Irony is something most people can tell is there when they see it, but it is not so easy to define, let alone detect automatically. In this paper we describe the construction of a balanced corpus of ironic vs. serious watch reviews and show the promising results achieved by classifiers trained on this corpus in predicting the presence of irony or l...

The 5 th International Workshop on Web Quality (WebQuality 2015) was held in conjunction with the 24 rd International World Wide Web Conference in Florence, Italy on the 18 th May 2015. This report briefly summarizes the workshop.

Crowdsourcing platforms are very frequently used for collecting training data. Quality assurance is the most obvious problem but not the only one. This work proposes iterative approach which helps to reduce costs of building training/testing datasets. Information about classifier confidence is used for making decision whether new labels from crowd-...

The growing popularity of wireless sensor networks increases the risk of security attacks. One of the most common and dangerous types of attack that takes place these days in any electronic society is a distributed denial of service attack. Due to the resource constraint nature of mobile sensors, DDoS attacks have become a major threat to its stabi...

By leveraging crowdsourcing, Web credibility evaluation systems (WCESs) have become a promising tool to assess the credibility of Web content, e.g., Web pages. However, existing systems adopt a passive way to collect users' credibility ratings, which incurs two crucial challenges: (1) a considerable fraction of Web content have few or even no ratin...

Considering the case in which not every individual is able to efficiently evacuate, due to the lack of knowledge about safe spots and available routes to them, close cooperation between community members plays a critical role. Using agent-based simulation, we tested two hypothetical scenarios of human behavior during tsunami evacuation and their ef...

High Yield Investment Programs (HYIPs) are online versions of a Ponzi scheme, a fraud that offers extremely high interest rates to attract investors – and pays them up to the moment when HYIP owner decides to run away with the money accumulated in the account. This article presents a simulation focused on the connections between investments in appe...

In this paper, we present the findings of a qualitative analysis of 15,750 comments left by 2,041 participants in a Reconcile web credibility evaluation study. While assessing the credibility of the presented pages, respondents of the Reconcile studies were also asked to justify their ratings in writing. This work attempts to give an insight into t...

Different points of view, opinions and controversies constitute the inherent part of modern society. Early detection of controversy is crucial for increasing productivity in peer production systems. The paper presents novelty approach to detecting controversial articles on the Wikipedia based on users ratings from Article Feedback Tool. The perform...

Since the emergence of Web 2.0, the idea of online knowledge sharing has been gaining attention of researchers and online communities. We can observe the popularity of such services on Wikipedia and numerous Q&A systems, in which ordinary users can explicitly ask questions and provide answers thus raise their expertise level by learning from others...

The article focuses on predicting trustworthiness from tex- tual content of webpages. The recent work Olteanu et al. proposes a number of features (linguistic and social) to ap- ply machine learning methods to recognize trust levels. We demonstrate that this approach can be substantially im- proved in two ways: by applying machine learning methods...

This paper describes a computational model of time allocation in a social network. It particularly focuses on the impact of inequalities or so called stratification process on the efficiency of resources allocation. The presented model is a multi-agent system with implemented network evolution mechanism. The stratification is modeled by the order i...

Our article starts with an observation that street names fall into two general types: generic and historically inspired. We analyse street names distributions (of the second type) as a window to nation-level collective memory in Poland. The process of selecting street names is determined socially, as the selections reflect the symbols considered im...

The development of the Internet is sustainable because of existing business models. Among them one of the most common is currently pay-per-click which is based on recording users' behaviors (in particular clicks but it may also be actions) and charging advertisers according to this information. On the other hand registering users clicks causes a se...

Is trust to web pages related to nation-level factors? Do trust levels change in time and how? What categories (topics) of pages tend to be evaluated as not trustworthy, and what categories of pages tend to be trustworthy? What could be the reasons of such evaluations? The goal of this paper is to answer these questions using large scale data of tr...

Online advertising is a high and a constantly growing business with an elaborate complexity. An important position is occupied by intermediaries, such as ad networks, marketing agencies and companies specialized in delivering software for managing and displaying advertising campaigns. Efficient use of advertising budgets and maximizing profits from...

Unlike traditional media such as television and newspapers, web contents are relatively easy to be published without being rigorously fact-checked. This seriously influences people's daily life if non-credible web contents are utilized for decision making. Recently, web credibility evaluation systems have emerged where web credibility is derived by...

Computational trust representations are used by Trust Management (TM) systems to elicit information from users about the behavior of others. In most practically used TM systems, simple computational trust representations dominate, such as the three-valued discrete scale of “negative”, “neutral” and “positive” used in reputation systems of Internet...

The focus of this paper is on time-constrained collaborative problem solving using common web-based communication systems. The rescue action of a missing Polish kite surfer conducted with help of the kiteforum.pl community created a unique opportunity to investigate how people organize such actions in the Internet and how they collaborate under the...

Web 2.0 technology and so-called social media are among the most popular (among users and researchers alike) Internet technologies today. Among them, Wiki technology - created to simplify HTML editing and enable open, collaborative editing of pages by ordinary Web users - occupies an important place. Wiki is increasingly adopted by businesses as a...

Reputation systems have been used to support users in making decisions under uncertainty or risk that is due to the autonomous behavior of others. Research results support the conclusion that reputation systems can protect against exploitation by unfair users, and that they have an impact on the prices and income of users. This observation leads to...