Research projects
Studying the impact of value alignment on building durable relationships.
A research and development project creating a model for supporting conscious relational decisions (RDPM), based on the alignment of values, goals and decision-making patterns — using artificial intelligence.
Discover your values. Build a relationship on what truly matters to you.
From values to a lasting relationship
The project examines whether gradually getting to know oneself and another person leads to more conscious relationship decisions.
Lovli is an innovative social research project developed by GoodWay Foundation to support young people in building lasting, conscious and value-based relationships.
Lovli is not a dating site.
It is a tool that helps build relationships based on values, mutual understanding and conscious decisions.
Contemporary dating applications focus mainly on appearance, first impressions and quick decisions. Lasting relationships, however, are built on much deeper foundations: values, life goals, personality, communication style, a vision of family and an understanding of happiness.
Lovli therefore reverses the traditional process of getting to know people. It first helps the user get to know themselves better.
Through a series of interactive questions, games, quizzes and analyses, the participant discovers their own values, needs, life goals and individual model of happiness. Only on this basis does the system help find people with a high level of alignment.
The process of getting to know one another takes place gradually and anonymously. Participants discover each other through conversations, tasks and shared activities guided by the system. Photos, personal data and direct contact appear only when both sides reach an appropriate level of mutual knowledge and trust.
The project also has a research dimension. Anonymously and in accordance with applicable law, it analyzes the process of relationship building, value alignment and factors affecting relationship durability. Its goal is to build knowledge that can support healthy relationships, families and communities.
Main research hypothesis
Participating in a digital environment based on value exploration, anonymous communication and gradual identity disclosure fosters more mature relationship competencies than using traditional applications based on visual presentation.
Research hypotheses by research area
Getting to know yourself
People using the anonymous model report a higher level of reflection on their own values.
Users show a higher level of relational self-awareness after completing the process.
People with a stronger sense of meaning in life show a greater tendency to build value-based relationships.
Values, partner choice and relationship satisfaction
Gradual identity disclosure increases the importance of value alignment when choosing a partner.
Alignment of values and life goals is a stronger predictor of relationship satisfaction than alignment of visual preferences.
Among couples who met through Lovli, higher alignment of values and life goals is associated with a greater chance of a lasting relationship after 6 months and higher relationship satisfaction after 12 months.
Experience of the process (anonymity, game, pace)
Gamification elements increase engagement in the process of getting to know oneself and another person.
Initial anonymity increases participants’ sense of safety.
Participants are willing to accept a slower, more demanding process of getting to know someone in exchange for higher relationship quality.
Participants accept system-moderated communication at the early stage of getting to know each other.
A value-based process is not perceived as a “psychological test” or an “interrogation.”
Background: young adults and appearance-based apps
Young adults report being tired of the superficiality of traditional appearance-based dating applications.
System-moderated communication (H10) means a conversation guided by cards and game rules — AI does not read messages.
Planned behavioral study
A digital model for supporting the quality of marital relationships based on logotherapy and artificial intelligence: development and evaluation
A relationship as a process of daily reflection
The model examines how regular conversations about values, responsibility and meaning affect the quality of a marital relationship.
Project purpose
The purpose of the project is to develop and scientifically evaluate a digital model supporting the quality of marital relationships, using self-reflection processes inspired by logotherapy and artificial intelligence acting as a moderator of the development process.
The project includes developing the model, implementing a digital solution and assessing its usability and potential application in social and organizational settings.
Research areas
- Digital implementation of reflection processes inspired by logotherapy.
- Designing self-reflection processes supported by artificial intelligence.
- The impact of a sense of meaning and responsibility on the quality of marital relationships.
- The relationship between the quality of marital relationships, wellbeing and professional functioning.
- Designing ethical AI systems that support human development without diagnostic functions.
- Assessing the usability and effectiveness of digital programs that support relationship development.
- Developing methods to measure changes in relationships using non-diagnostic indicators.
Main research thesis
It is possible to develop, implement and scientifically evaluate a digital model that supports the self-reflection of spouses, grounded in logotherapy and artificial intelligence acting as a moderator of the development process, without performing diagnostic or therapeutic functions.
Research questions
- Does regular use of the program foster self-reflection in a marital relationship?
- Is an increased sense of meaning associated with higher relationship quality?
- Can artificial intelligence effectively moderate the reflection process without performing diagnostic functions?
- Which elements of the program are used most often by users?
- Which elements of the program are rated as most useful?
- Is a declared improvement in relationship quality associated with improved participant wellbeing?
- Do changes in wellbeing affect selected aspects of professional functioning?
Research hypotheses
Regular use of the program increases the level of self-reflection and sense of meaning in a marital relationship.
The program strengthens participants’ responsibility for their own attitudes and manner of communication.
The program promotes improved communication quality between partners.
Regular use of the program increases reported satisfaction with the marital relationship.
Improved relationship quality is associated with improved reported participant wellbeing.
Improved participant wellbeing is associated with favorable changes in selected indicators of professional functioning, particularly work-life balance, stress levels and job satisfaction.
Artificial intelligence can effectively moderate the self-reflection process and support users in completing the program without diagnostic, therapeutic or evaluative functions.
Building and developing the Information Threat Observatory in Poland
Compass is a system for monitoring and analyzing information threats based on anonymous citizen reports.
The research project focuses on analyzing the mechanisms of digital manipulation, online fraud and user decision-making processes in the information environment. The research covers identifying communication patterns used by cybercriminals, analyzing users’ susceptibility to manipulation and using artificial intelligence models to support risk assessment. The project aims to develop methods that increase society’s resilience to information threats and create a scientific basis for new tools supporting digital security.
Signals worth checking before you click
The observatory combines citizen reports, language analysis and behavioral research to identify new fraud patterns earlier.
Misja projektu: Building and developing the Information Threat Observatory in Poland
Research hypotheses
Social
Analysis of anonymous user reports makes it possible to detect new fraud campaigns earlier than monitoring conducted solely by institutions.
AI
Language models can identify manipulation patterns more effectively than traditional rule-based methods.
Behavior
The linguistic characteristics of a message make it possible to predict the probability of fraud.
Education
Regular use of the Compass tool increases users’ resilience to fraud attempts.
Planned project outcomes
A study of the impact of regular phone contact and digital help on loneliness, sense of security and the burden on families of older people.
Regular contact as prevention of loneliness.
Project goal
To test whether short, regular contact (an AI assistant, a student) reduces loneliness and gives families peace of mind.
Main hypothesis · Working hypotheses — in development
Regular, short contact (phone conversations with an AI assistant, with or without a conversation with a student) reduces the declared sense of loneliness of older people and improves their families’ sense of security compared with no such contact.
Research hypotheses (working hypotheses — in development)
People receiving AI assistant calls report a lower level of loneliness after 12 weeks than the waiting-list group.
Adding a weekly conversation with a vetted student increases the reduction in loneliness beyond contact with the AI assistant alone.
Updates for the family after the calls increase peace of mind and reduce the carer’s burden, especially for people living far away or abroad.
Older people accept the AI assistant when they know they are talking to AI and when the family has been informed about it; transparency increases trust.
A short training on using a phone and online safety increases digital independence and reduces vulnerability to fraud attempts (link with the Compass program).
A free guide to benefits increases families’ knowledge of available forms of help and the number of applications submitted.
A quick update for the family after missed calls shortens the family’s response time.
Taking part in the program increases students’ declared communication and caregiving skills.
Planned study
A 12-week pilot, measurements at baseline and after 6 and 12 weeks, a comparison group from the waiting list (everyone eventually receives the service), non-diagnostic scales, a report published even if the results are weak; cities chosen according to sign-ups from families and students.