Studies and Experiments

Spring 2018/2019

Autumn 2018/2019

Spring 2017/2018

Autumn 2017/2018

please insert here the entry according to the instructions


Detection of gaze patterns in navigational tasks on the Web

Date: Marec 2019
Experiment conductor: Gabriel Csikmák
Supervisor: Ing. Patrik Hlaváč
Short description:

In this project, our goal is to understand the user’s behaviour while performing navigational tasks on the Web. We would like to examine this activity within product search process performed in the search engine. For this purpose, we proposed two types of navigational tasks:
Finding a concrete product (precisely specified product)
Finding an ideal product (generally specified product)
The aim of this work is to determine, whether a type of task can have an effect on user’s interaction. The experiment will be primarily focused on the impact of snippets “tethered” to each of search results. Role of these snippets can be important in cases, when a user does not search for a specified target – the informativness of a snippet can lead to finding of a required result.
During this study, we will work with two types of navigational tasks mentioned above. To track user behaviour, we will use technology of eye-tracking. Finally, our plan is to analyze the acquired data for our type of experiment.

Link to a formal description of the UX experiment: experiment description (In Slovak)


Discovery of view patterns in navigational tasks on the web

Date: Marec 2019
Experiment conductor: Patrik Kovács
Supervisor: Patrik Hlaváč
Short description:

The experiment will focus on comparing the selected navigational mechanisms according to their effectiveness. Efficiency is defined by the number of steps required to achieve the result. In our study, we compare different variations of the given website. The variants will be distinguished according to different navigational mechanisms that they use. For comparison, we have selected the most commonly used navigation mechanisms, such as breadcrumb, sitemap, and dynamic menus. The efficiency of navigational mechanisms will be evaluated from the data obtained from the eye tracker and from the process of problem solving followed by the participants of the experiment. From the obtained data, it will be possible to evaluate the success rate of each menu type, according the level of the menu that contains the necessary knowledge for achieving the result.
Link to a formal description of the UX experiment: experiment description (In Slovak)


The effect of contours on visual attention

Date: December 2018
Experiment conductor: Marek Jakab
Supervisor:
Short description:

Human’s brain receives every second great amount of information. Such amount of bits could not be processed without previous filtering. The filter is provided by visual attention which is the main factor for being able to perceive effectively and in real time our surroundings. State-of-the-arts saliency models usually analyse intensity, color and orientation features. Our experiment focuses on the effect of object shapes and contours on visual attention. Participants of the experiment will see a set of images with silhouettes of real and abstract objects to eliminate the effect of other attention factors as much as possible. The fixation data will be used to design and evaluate new saliency model focused on object contours and shapes.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Automatic categorization of users based on their web navigation

Date: December 2018
Experiment conductor: Ľubomír Samotný
Supervisor: Ing. Patrik Hlaváč
Short description:

The aim of this work is to create an automated method of categorizing users according to their cognitive styles. That is why we need to get enough data on how users of different cognitive styles are behaving on the web. Based on these, we will design and verify a classifier that can properly assign a cognitive style to the user. It is proved that users with different cognitive style perceive and process the information provided to them differently. By automatically determining a user’s cognitive style only during his web browsing, it would be possible to start personalizing a site that would be better suited to his website perception, thereby improving his user experience and browsing speed.
Two dimensions of cognitive styles were described and verified in psychological research in the past, specifically Verbal-Imager and Wholist-Analyst dimensions. At the beginning of the experiment, we will perform a short test to determine user’s inclusion to these two cognitive style dimensions. The experiment will then continue with search-based tasks on the Web. These are designed to detect differences in users navigating behavior of different cognitive styles. For the classifier to work properly, it is therefore necessary to collect enough data from eye-tracking, but also multiple metrics measured by Javascript on the front-end.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Analysis of the relationship between usability problems and long-term characteristic of the user

Date: December 2018
Experiment conductor: Roderik Willinger
Supervisor: Ing. Martin Svrček, Ing. Jakub Šimko, PhD.
Short description:

The aim of this project is to analyze how the long-term properties of the participants in testing the web affect their encounter with usability problems. Based on personality, we analyze what issues a particular group can detect with specific properties. Testing is done using the View Tracker and the subsequent viewing view analysis using existing metrics
Link to a formal description of the UX experiment: experiment description (In Slovak)


An alternative way of measuring user’s attention to the user interface

Date: November 2018
Experiment conductor: Filip Loja
Supervisor: Ing. Eduard Kuric, PhD.
Short description:

In this experiment, we are going to test a new method for recording a user’s gaze while browsing the web. The method is based on tracking the user’s cursor. A place on a website which a user is looking at is determined by the position of his cursor. To ensure that the user is really looking only at the place on the webpage where his cursor is located, the remaining content of the page will be blurred and only a certain area around the cursor will have focus. Although the content of the webpage will be blurred, the user will still be able to recognize the basic structural and navigational elements on the page but will not be able to read any content without moving the cursor to that location.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Analysis of fake news reader’s view behaviour

Date: October 2018
Experiment conductor: Martina Hanáková, Patrik Racsko
Supervisor: Ing. Jakub Šmko, PhD.
Short description:

In our project we want to investigate the behaviour of users when reading true and fake news. We would like to find out some features that could be used for automatic detection of fake news. Next sentence serves us as a basis: “Everyone wants to read about things that confirm his point of view”. We decided to prepare an experiment in which we provide the participants with articles that are in line with their opinion and the ones that are in opposite. The articles could be both true and false. The important thing is that participants will have no clue what is the experiment really about.
In the second part of experiment the participants should determine if the articles are true or false. Experiment will take place in two sessions. In the first session the participants will be secondary school students and in the second one hoax hunters. This division helps us to evaluate differences in identifying of fake news by common readers and experts.
After the experiment all participants fill in a questionnaire to determine their opinion on selected themes and rate of interest about that themes. The questionnaire also helps us to define which articles are in line with the conviction of the participant and which against it. Afterwards we will verify differences in behaviour of participants from collected data.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Identification of user confusion in a web application

Date: October 2018
Experiment conductor: Michal Hucko, Matej Války
Supervisor: Prof. Ing. Mária Bieliková, PhD.
Short description:
Confusion on the web is a problem connected with web applications. Sometimes apps do not have to be complex to confuse users. Common problems may have newcomers, when accessing the app for the very first time. Ability to identify confusion can help us to give hints to users. These hints can help user to fulfil their needs. Hints can be combined to web application guides.
In our work we identify and predict confusion on web application. We will make a method for this purpose, using logs from the server. Except them we concentrate on user  mouse movements, clicks, scrolling and browsing patterns which describe behaviour. We consider usage of eye-tracker data. Next we apply machine learning methods on gathered data. To confirm our method we will establish an experiment, where we will collect feedback from users. At the moment we are working on selection of appropriate way to collect these feedback. These will be used as labeled data. Our solution can be combined with production systems providing web application guides.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Analysis of influence  of different types of dataset to express the intensity of emotion

Date: October 2018
Experiment conductor: Adam Strásky
Supervisor: Ing. Róbert Móro, PhD.
Short description:
When we recognize emotions using a webcam, we often look at emotions only during usability testing. We often do not recognize the extent to which individuals express their emotions and how these tools are accurate because we can not determine plausibility on the basis of comparison with the basic expression of emotions. The goal of the experiment is to obtain a range of emotions with varying degrees of differentiation and to determine if during the test the emotions will be captured to correspond with the expected results.
Experiment design consists of an initialization dataset, where the stimulus will consist of images, music clips and videos. We will try to create a stimulus scale for this participant and then perform a usability test. Finally, we will use retrospective verbal protocol with each participant to refine the results.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Identification of user confusion in a web application

Date: March 2018
Experiment conductor: Michal Hucko, Matej Války
Supervisor: Prof. Ing. Mária Bieliková, PhD.
Short description:
Confusion on the web is a problem connected with web applications. Sometimes apps do not have to be complex to confuse users. Common problems may have newcomers, when accessing the app for the very first time. Ability to identify confusion can help us to give hints to users. These hints can help user to fulfil their needs. Hints can be combined to web application guides.
In our work we identify and predict confusion on web application. We will make a method for this purpose, using logs from the server. Except them we concentrate on user  mouse movements, clicks, scrolling and browsing patterns which describe behaviour. We consider usage of eye-tracker data. Next we apply machine learning methods on gathered data. To confirm our method we will establish an experiment, where we will collect feedback from users. At the moment we are working on selection of appropriate way to collect these feedback. These will be used as labeled data. Our solution can be combined with production systems providing web application guides.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Scanpath Visualization

Date: April 2018
Experiment conductor: Ján Vnenčák
Supervisor: Ing. Róbert Móro, PhD.
Short description:
We use a variety of software products every day, so it is important to make these products intuitive and easy to use. This is one of the reasons why eye tracking has become more popular in recent years. With eye tracking we can easily find where and how the user is looking at visual stimulus. A motivation is to search for patterns or similarities in the recorded data that allow us to identify different user interaction strategies with the interface. One of the methods to find these patterns or similarities is the visualization of eye tracking data.
In our work, we analyzed existing methods of visualization of eye tracking data. We aim to find ones that are capable of supporting specific tasks in a better way then methods already implemented in commercial eye tracking software. Based on our analysis we implemented circular heat map transition diagram visualization method. The result of our work is a tool, which use this technique to visualize eye tracking data. The tool provide adjustment of the displayed data on user’s demand. We want to verify how this method can help in exploratory analysis of eye tracking data.
Link to a formal description of the UX experiment: experiment description (In Slovak)


The impact of images on user`s behavior on Web

Date: March 2018
Experiment conductor: Andrej Zaťko
Supervisor: Ing. Peter Gašpar
Short description:
In our Bachelor thesis we study the potential of the image. There is a great number of information on the Web which is in the form of an image. Especially in online stores, images enrich products with visual aspect, which is crucial for users during the decision. We observe the behavior of the user while displaying text and image information. Recommender systems attempt to suggest items which attract the user. Nowadays, for creating recommendations, mostly text information is used. However, in some cases they can’t describe the properties of the item accurately. Inclusion of images into the output of recommender’s systems seems to be the way to overcome this issue and may lead to an improvement in accuracy of recommendations.  We propose a method for the evaluation of changes in user`s behavior.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Eye tracking the user behavior on the Web

Date: March 2018
Experiment conductor: Martin Svrček
Supervisor: Prof. Ing. Mária Bieliková, PhD.
Short description:
User behavior on the Web is affected by many various effects. Every person behave differently in different situations according their personal traits or states. However, there is also Web itself and especially the usability of the Web, which impact this behavior. Usability is therefore a subject of many studies and usability testing. There are many ways how to measure the usability. Often we are trying to reveal the visual attention of web users to understand their behavior. Nowadays, one of the best methods to reveal the visual attention is by tracking the user eye movement. Eye tracking is very interesting approach, which can help us to evaluate the overall usability of the Web. However, there are many different methods of analyzing the data from eye tracking and simultaneously there is no sufficient research in eye tracking data analysis in area of the user behavior on the Web. Reason for this is that Web is a dynamic environment and most of the actual research is directed only to static inputs like images. Our goal is to analyze the different representations of eye tracking data and different methods of analysis itself in order to determine the impact of usability on user behavior on the web.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Identifying users characteristics by eye tracking analysis

Date: March 2018
Experiment conductor: Mária Dragúňová, Matej Červenka
Supervisor: Mgr. Jozef Tvarožek, PhD.
Short description:
Human individuality reflects on many aspects of our everyday lives and using web applications is not an exception. Problem of variablity between different users and their needs is commonly solved by personalisation to achieve the best possible usability for every user. However, human is a complex being and there are many characteristic, which should be considered when a system adaptation comes to mind. In our work, we analyze some of cognitive characteristics – working memory capacity, visual search and verbal-imagery dimension of cognitive styles. We propose to consider these characteristics when searching in e-catalog, which is a common structure in e-shop applications. Besides analysis of characteristics, we also focus on identifying tasks in e-commerce environment using eye-tracker.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Identification of usability problems on web sites using the eye-tracker

Date: March 2018
Experiment conductor: Martin Šidlo
Supervisor: Ing. Eduard Kuric, PhD.
Short description: Lately, usability is more discussed in the field of information technologies. Creators of the systems realized, that user experience is a huge part of a product and has a significant impact on the usage. The most effective way, how to evaluate websites, is to use user testing methods. Evaluating of such methods is a long-lasting process. Goal of this work is to shorten this time and suggest potential usability problems without a need of evaluating each user separately. In our work, we want to create models to predict such problems on a website, based on its components. In order to be able to build it, we need to train them. For this purpose, we have to gain enough data. We are using approach of a previous work of Pang et al. [1]. They have been directing user visual flow on a website. We want to use this approach with some modification and user labeling according to their cognitive abilities in order to automatically identify usability problems on websites.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Detection of User’s Intent on the Web based on Eye-tracking Method

Date: March 2018
Experiment conductor: Ondrej Kipila
Supervisor: Ing. Jakub Šimko, PhD.
Short description:
The characteristics of the user are are very useful information in information systems. If the information system is able to automatically detect the user’s characteristics (eg. mood, interest, fatigue, personality characteristics, capacity short-term memory), can use this information to adapt its functionality in such a way that as far as possible meet the needs of the user. An example would be automatic content recommendation. Another option is the use of prediction of his other activities and results in the system.
One way of identifying a characteristic of a user uses the tracking of user activity in the system (eg. Clicks, scrolling, text entry). Records of these activities can be further combined with monitoring a user’s perspective in the implementation of these activities. Other data usable to create a user model is the size of the pupil.
In this master’s thesis we deal with the prediction of the user’s intention (goal) when working with a web page, namely when working with an online shop. The aim of this thesis is to create a predictive model that analyzes the behavior and the user’s sight and predicts the intent in real time.
Link to a formal description of the UX experiment: experiment description (In Slovak)


User experience with web browsing, and the usage of control devices

Date: February 2018
Experiment conductor: Ján Trimel
Supervisor: Ing. Peter Krátky
Short description: In this experiment we are going to develop a method of estimating user’s skill in web browsing using data from monitoring the mouse and the keyboard. We determine the user’s level of experience using questionnaires. Then we find a common pattern for experienced and novice users from their mouse, keyboard usage and visual fixation.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Analysis of influence  of different types of dataset to express the intensity of emotion

Date: February 2018
Experiment conductor: Adam Strásky
Supervisor: Ing. Róbert Móro, PhD.
Short description:
When we recognize emotions using a webcam, we often look at emotions only during usability testing. We often do not recognize the extent to which individuals express their emotions and how these tools are accurate because we can not determine plausibility on the basis of comparison with the basic expression of emotions. The goal of the experiment is to obtain a range of emotions with varying degrees of differentiation and to determine if during the test the emotions will be captured to correspond with the expected results.
Experiment design consists of an initialization dataset, where the stimulus will consist of images, music clips and videos. We will try to create a stimulus scale for this participant and then perform a usability test. Finally, we will use retrospective verbal protocol with each participant to refine the results.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Eye Tracking Using Deep Neural Networks

Date: February 2018
Experiment conductor: Patrik Gajdošík
Supervisor: doc. Ing. Vanda Benešová, PhD.
Short description:
Eye tracking offers valuable insight in the fields of usability and user experience. However, in order to perform a study where the users’ gaze is being recorded, specialized hardware, eye trackers, are needed, which limits the span of such studies and renders them expensive and time consuming. In order to solve this issue, recent studies focus on using the ordinary web-cameras that are available on most of the today’s mobile devices. Some papers, such as ours, employ convolutional neural networks. The problem is that the variance of images shown to these networks during training is very high and we also cannot easily perform calibration as in the majority of eye tracking solutions. In our work, we focus on exploring the ways in which to alleviate the task for the neural network. We train and evaluate our models on existing datasets as well as on data gathered by proper eye tracker.
Link to a formal description of the UX experiment: experiment description (In Slovak)

Analysis of source code reading

Date: February 2018
Experiment conductor: Matúš Tundér
Supervisor: Mgr. Jozef Tvarožek, PhD.
Short description:
The main aim of this thesis is to determine, how the order of functions in the source code will affect the program comprehension while reading a source code, but also the way of reading itself. In experiments, programmers will read two types of source codes. The first one, where the main function is on the top and the second one, where the main function is on the bottom of the source code. Experiments are taking place in UX lab at the faculty. The effect of the functions’ layout is determined by scanning the information about gaze while reading the source code. To make programmers study the whole source code, there was the task given to them to find errors in the source code.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Analysis of Influcence of Visual Stimuli on Movies Selection

Date: January 2018
Experiment conductor: Peter Gašpar
Supervisor: prof. Mária Bieliková, Dr. Michal Kompan
Short description:
In several domains, items can be represented using not only using the text but also by multimedia, specically images. Images and corresponding visual stimuli may affect user during the web navigational tasks, such as clicking activity in the list of items. In such a list, a user feedback is currently interpreted most commonly from the clicking activity, such that when a user clicks the n-th item in a list, all the previous items are considered not to be relevant for him.
In our work, we study how visual stimuli can be used in recommendation process. We analyze how visual stimuli should be considered during the analysis of user behavior in the results of recommendations and how the user’s behavior should be properly interpreted if the images are present there.
Link to a formal description of the UX experiment: experiment description (In Slovak)


The relation of gaze fixations and user’s skill in the digital space

Date: November 2017
Experiment conductor: Ján Hanko
Supervisor: Ing. Patrik Hlaváč
Short description:

Today, the web is a regular part of almost every household. Since not everyone has the same experience with its use, it is important to adapt and facilitate its usability. However, usage depends not only on the experience, but also on the general characteristics of the user. In our case, we focus on his spatial capabilities, that is, as he thinks, perceives and remembers information related to objects and space, from which we derive his spatial cognitive style. This is based on the Spatial Cognitive Style Test (SCST), because we can compare real-space orientation to web navigation, as the web is also considered as a type of space.
Our goal is to explore ways of navigation for users with different cognitive styles. Therefore, we want to identify the differences in the way of navigation, the problems associated with individual ways and to determine to what extent the web navigation is influenced by the spatial cognitive style of the user.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Identification of the user familiarity with Web domain, based on patterns in eyetracking data

Date: November 2017
Experiment conductor: Martin Mokrý
Supervisor: Ing. Róbert Móro, PhD.
Short description:

Identification of repeating patterns from eye tracking data (patterns like sequences of fixations, saccades or areas of interest) is considered to be an important step in eye tracking analysis. Its main focuses are: explanation of recorded interaction, comparison of ways, in which different users interact or clustering of user based on their similarity. This can be used in evaluation of recorded interaction (UX testing) or customization of graphical interface based on identified situation (pattern). This situation e.g. systematic scanning of web page can imply unfamiliarity of user with specific web page. On the other hand, reoccurrences of a similar situation can imply activities of skilled user.
In our work we focus on automatic identification of patterns in scanpaths in eye tracking data, related to  level of user’s familiarity. First phase consists of identifying proper features of fixations, saccades, pupils and head distance (features not task-related and with high frequency of occurrences) and analysis of methods for creating common scanpaths and quantification of similarities between scanpaths.
Goal of second phase is to implement machine learning model for automatic identification of user familiarity with e-shop. Model will take as input basic eye-tracking features and will be extended to use also recurrence, reoccurrence metrics and metrics calculated by similarity of scanpaths to common scanpath.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Automatic recognition of user characteristics

Date: November 2017
Experiment conductor: Martina Redajová
Supervisor: Ing. Jakub Šimko, PhD.
Short description:

This work uses eye movement behavioral scores as a metric for fatigue recognition. We believe that using the method of tracking user’s eye gaze and tracking behavioral scores has a great potential as a method for detecting fatigue.
During the verification phase, we plan to focus on refining the results of previous research and performing experiments to verify selected methods, as we discovered several shortcomings in this method. In case of positive results, we plan to design and apply our method in a real life framework for automated learning of user’s fatigue.
Link to a formal description of the UX experiment: experiment description (In Slovak)


The relation of gaze fixations and user’s skill in the digital space

Date: November 2017
Experiment conductor: Jakub Kubanyi
Supervisor: Ing. Patrik Hlaváč
Short description:

Many information systems use very detailed information about its users for improvement or innovation purposes. Nowadays, statistics of user access and user preferences are used to fulfill these purposes. The other useful information can be user’s skill in the digital space as well. This experiment is focused on analyzing possibilities
of user’s skill determination based on eye-tracker data. When It comes to user’s skill, We have focused on web literacy. The search skill to find, access and evaluate specific information. Research also includes relations in current systems and possibilities of user classification based on their search skills. In this experiment, We have prepared several search-based tasks and we will be examing how participants search for the specific information during the process.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Visual attention and saliency mapping on web page elements

Date: November 2017
Experiment conductor: Dániel Papp
Supervisor: Ing. Jakub Šimko, PhD.
Short description:

In this experiment, we will use eyetracking for identification respectively for capturing the position of significant elements on the web site.
The knowledge of salient parts of a web page could offer several benefits for web page designers and users as well. If we know what parts of the web page people use to recognize previously seen pages, we could create compact visual representations of web pages that contain only these most relevant areas.
Web page designers could also benefit from a model of visual attention to improve page layout and design, e.g., arranging page elements in such a way that users’ attention is focused on the aspects that the author considers most important.

Link to a formal description of the UX experiment: experiment description (In Slovak)


Personalized search by using eye tracking to better identifying the user query

Date: November 2017
Experiment conductor: Filip Šandor
Supervisor: Ing. Eduard Kuric, PhD.
Short description:

Our goal is to improve the method of calculating user interest.
This article counts user’s interests based on the number of views per word. This calculation should be expanded by viewing metrics. We believe we will achieve a more accurate representation of user interest by correctly incorporating multiple viewing metrics.
In the second part of the experiment, we will monitor user behavior when viewing offers and then count on his interest in individual offers. Finally let provide him offer according to his expectations and compare the answer to our calculations and see how much our algorithm is accurate.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Facial engagement recognition using sequential analysis

Date: October 2017
Experiment conductor: Viktor Košťan
Supervisor: doc. Ind. Vanda Benešová, PhD.
Short description:
This experiment aims to create a dataset for engagement recognition model. The dataset will consist of videos of participants in three different states – engagement, mind wandering, disengagement; during text reading and video viewing activities. The project also aims to explore use of sequential analysis in order to distinguish between engagement and mind wandering states.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Eye-tracking of user while reading source codes

Date: October 2017
Experiment conductor: Matúš Gáspár
Supervisor: Martin Konôpka
Short description:
Goal of this experiment is, to set up everything that we need for further testing with eye-tracker on other users while whole semester. We are going to check their eye movements while reading several codes with or without common conventions in them.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Identification of emotions by eyetracking in relation to self-criticism

Date: October 2017
Experiment conductor: Bronislava Strnádelová (FSaEV UK)
Supervisor: doc. Mgr. Júlia Kanovská Halamová, PhD (FSaEV UK)
Short description:
The current pilot study will explore the relationship between self-criticism and face scanning patterns while recognizing photos of primary emotions. Participants will  complete Forms of Self-Criticising/ Attacking & Self-Reassuring Scale and a face recognition task while their eye movements will be  recorded by a Tobii X2 60 eye trackers. Participant´s eye movements and fixation on faces will be tracked by static images (photos from The Umeå University Database of Facial Expressions) of people representing primary-universal emotions (anger, fear, sadness, surprise, joy, disgust, and neutral). There will be 42 photos presented randomly on the screen, as the set includes both men and women in three age groups (about 25 years, 45 years and 65 years). Apart from watching pictures, participants will be asked what emotion on the picture is. The results are important for understanding the role of self-criticism in relation to emotions and their scanning patterns. It can be used for diagnostic purposes and developing as well as evaluation of the interventions for highly self-critical people.
Link to a formal description of the UX experiment: experiment description (In Slovak)


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