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Research profile

With the rise of digitalization, there has been a huge growth in data. Organizations can smartly leverage this data to create models that assist people in decision-making. Research indicates that computer models (algorithms) often make decisions that are just as good or better than those made by humans for many tasks. However, these models are not always utilized, and people sometimes do not trust them, even when they function well, and sometimes trust them when they should not. We are investigating the factors that play a role in this interaction.


My dream is that someday, trusting algorithmic advice will be as easy and natural for us as relying on a friend's suggestion. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 16 - Peace, Justice and Strong Institutions

Education/Academic qualification

Master, Global Supply Chain Management MSc, Brunel University

Award Date: 28 Sept 2012

External positions

Lecturer, Fontys University of Applied Sciences

1 Sept 2013 → …


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Collaborations and top research areas from the last five years

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  • Trust in algorithmic advice increases with task complexity

    Tahtali, M., Snijders, C. C. P. & Dirne, C. W. G. M., 15 Mar 2024, Trust in algorithmic advice increases with task complexity: Second International Conference, HAR 2023, Paris, France, September 19–22, 2023, Proceedings. Baratgin, J., Jacquet, B. & Yama, H. (eds.). Springer, p. 86-106 21 p. (Lecture Notes in Computer Science (LNCS); vol. 14522).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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