TrustedUX

Easy to Use

Online survey tool that helps measure user trust at any point in your product lifecycle

Research-Based

TrustedUX is based on empirical and scientifically-validated research

Visualizations

Analyze your data in snap! Get quick insight with automatic charts and summaries

Easy to use

With the TrustedUX tool, you can easily understand how users rate their level of trustworthiness with your product or service. The online tool can support you in all the following scenarios.

Single Evaluation

This type of study assesses each of the two different products separately and then compares them. You will be provided with an overview of how your customers perceive each of the products. You can decide whether both products are evaluated by the same test group, or whether product A and product B are evaluated by completely different test groups.

Comparision A-B

With the TrustedUX tool, not only can you compare user trust levels across two different products A and B but you can also compare completely different versions of the same product and understand why your users perfer a particular version. Read more on the benefits of such a study here.

Multiple

Why not take your testing up a notch? User our online survey tool to compare multiple products, compare their trust scores with one another, gain insights and design for trust! Read more on the benefits of such a study and how to carry it using our tool here.

Research-based

Take advantage of a robust scientifically developed scale for trust measurement. Our work has been reviewed and published in high level scientific venues. Be rest assured that the results which you get are a product of years of scientific work at the highest level!

Work model

This type of study assesses each of the two different products separately and then compares them. You will be provided with an overview of how your customers perceive each of the products. You can decide whether both products are evaluated by the same test group, or whether product A and product B are evaluated by completely different test groups.

Instrument of measurement

To measure trust, we use a set of 12 statements on a 5-point likert scale where 1 indicates strongly disagree and 5 indicates strongly agree. These 12 statements can be used by a UX practitioner to make a questionnaire when evaluating trust with a product or servce. Learn more about trust score in Documentation.

Publications

Siddharth Gulati, Sonia Sousa & David Lamas. 2019. Design, development and evaluation of a human-computer trust scale. Behaviour & Information Technology, 38:10, 1004-1015, DOI: 10.1080/0144929X.2019.1656779

Siddharth Gulati, Sonia Sousa, and David Lamas. 2019. Towards an empirically developed scale for measuring trust. Proceedings of the 31st European Conference on Cognitive Ergonomics. Association for Computing Machinery, New York, NY, USA, 45–48. DOI:https://doi.org/10.1145/3335082.3335116

Siddharth Gulati, Sonia Sousa, and David Lamas. 2018. Modelling trust in human-like technologies. In Proceedings of the 9th Indian Conference on Human Computer Interaction (IndiaHCI'18). Association for Computing Machinery, New York, NY, USA, 1–10. DOI:https://doi.org/10.1145/3297121.3297124

Gulati S., Sousa S., Lamas D. 2017. Modelling Trust: An Empirical Assessment. In: Bernhaupt R., Dalvi G., Joshi A., K. Balkrishan D., O’Neill J., Winckler M. (eds) Human-Computer Interaction – INTERACT 2017. INTERACT 2017. Lecture Notes in Computer Science, vol 10516. Springer, Cham. https://doi.org/10.1007/978-3-319-68059-0_3

Siddharth Nakul Gulati, Phd

Sid is a Phd student and the focus of his research is to understand the role of trust in user engagement. His main goal is to develop evaluation frameworks in the form of empirical models or scales which can be used to monitor trust levels of users during their interactions with a technological artifact. This work stems from the motivation that despite repeated trust breaches in the online environment, there has been little change in the behavior of people.

Sónia Sousa, Associate Professor, Tallinn University

Sónia is an Associate Professor and Researcher of Interaction Design. Since her post-doc projects in Tallinn University and Aberta University, she has been focusing on exploring the role of Trust in technologically enhanced contexts. Her research evolves around the Trust socio-technical model and Human-computer Interaction. She teaches multiple courses for the master program and supervises doctoral projects.

David Lamas, Professor of Interaction Design, Head of HCI group, Tallinn University

David Lamas main research interests are design theory and methodologies, and he has been designing organisations, communities and human technologies, systems and more since his post-doc at Michigan State University as a member of the MIND Labs network. He has done so in the USA, UK, Portugal, Cape Verde, and recently in Mozambique, Afghanistan and Estonia, developing through his experiences an acute understanding of how to shape and lead transformation processes.

Visualization

Survey results are presented in an easy to understand format. You can generate a report from the project menu in your dashboard.

Demographics

Get a breakdown of participant demographics such as age, gender, nationality etc.

Trust measurement

Not only can you see an overall trust score, but we also break down survey results to different trust dimensions such as competence, risk perception & benevolence.

How it works

1 Create an account: Either register as a new user or sign-in into your account
1 Create a survey: As soon as your are logged in, create a new project and your first survey
2 Collect data: Send your survey links to your participants to collect data
3 Get a report: Our system will automatically generate your project reports. You can download the report, as well as collected raw data

Frequently Asked Questions

It is an easy to use online service that measure perceived trust of product or service. It enables researchers, designers and anyone else interested to run studies to understand to what extent users trust digital technologies.

Measuring trust on a regular basis can help understand many factors such as whether or not users are comfortable in using your product and how likely would they continue doing so! To be specific, it can help the following set of people:
• Designers: allowing to take into account trust factors when designing a product;
• UX researchers/practitioners: to evaluate trust, figure out user pain points and set a clear metric .

You can create a new account by following the link Try it now. After email verification, you may log and create new projects. Find more instructions here.

Upon successfully creating a project, you will have the option to copy the link next to your created project. Simply send this link to your participants who can then answer your survey.

There are no restrictions on the number of participants in a study.

Data protection is important to us. The data you enter will be processed anonymously and will not be passed on to any third party. Only you know who your test participants and customers are. We therefore have no information or contact details of your test participants.

TrustedUX is a research project, which was funded by NGI-Trust. Our main aim is to provide a tool for UX practitioners to measure and analyze trust to improve technological projects.

Online tool to measure trust