Prof. Nava Tintarev

Prof. Nava Tintarev

Universiteit Maastricht

H-index: 29

Europe-Netherlands

About Prof. Nava Tintarev

Prof. Nava Tintarev, With an exceptional h-index of 29 and a recent h-index of 25 (since 2020), a distinguished researcher at Universiteit Maastricht, specializes in the field of Explanations, Recommender Systems, Natural Language Generation, Human Computer Interaction.

His recent articles reflect a diverse array of research interests and contributions to the field:

Motivated numeracy and active reasoning in a Western European sample

Nudges to mitigate confirmation bias during web search on debated topics: support vs. manipulation

NORMalize: A Tutorial on the Normative Design and Evaluation of Information Access Systems

Modeling the Factors Influencing an Individual's Satisfaction in a Group Context in the Music Domain

Measuring the benefit of increased transparency and control in news recommendation

Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects

Beyond Digital" echo Chambers

Explaining search result stances to opinionated people

Prof. Nava Tintarev Information

University

Position

___

Citations(all)

4449

Citations(since 2020)

2897

Cited By

2434

hIndex(all)

29

hIndex(since 2020)

25

i10Index(all)

65

i10Index(since 2020)

55

Email

University Profile Page

Universiteit Maastricht

Google Scholar

View Google Scholar Profile

Prof. Nava Tintarev Skills & Research Interests

Explanations

Recommender Systems

Natural Language Generation

Human Computer Interaction

Top articles of Prof. Nava Tintarev

Title

Journal

Author(s)

Publication Date

Motivated numeracy and active reasoning in a Western European sample

Behavioural Public Policy

Paul Connor

Emily Sullivan

Mark Alfano

Nava Tintarev

2024/1

Nudges to mitigate confirmation bias during web search on debated topics: support vs. manipulation

ACM Transactions on the Web

Alisa Rieger

Tim Draws

Mariët Theune

Nava Tintarev

2024/3/12

NORMalize: A Tutorial on the Normative Design and Evaluation of Information Access Systems

Johannes Kruse

Lien Michiels

Alain Starke

Nava Tintarev

Sanne Vrijenhoek

2024/3/10

Modeling the Factors Influencing an Individual's Satisfaction in a Group Context in the Music Domain

Francesco Barile

Nava TIntarev

Federico M Cau

2024/1/24

Measuring the benefit of increased transparency and control in news recommendation

AI Magazine

Nava Tintarev

Bart P Knijnenburg

Martijn C Willemsen

2024

Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects

Federico Maria Cau

Nava Tintarev

2024/3/15

Beyond Digital" echo Chambers

R Hada

A Ebrahimi Fard

S Shugars

F Bianchi

P Rossini

...

2023

Explaining search result stances to opinionated people

Zhangyi Wu

Tim Draws

Federico Cau

Francesco Barile

Alisa Rieger

...

2023/7/26

???? Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability

Mireia Yurrita

Tim Draws

Agathe Balayn

Dave Murray-Rust

Nava Tintarev

...

2023/4/19

A Co-design Study for Multi-stakeholder Job Recommender System Explanations

Roan Schellingerhout

Francesco Barile

Nava Tintarev

2023/7/26

Report on NORMalize: The First Workshop on the Normative Design and Evaluation of Recommender Systems

Sanne Vrijenhoek

Lien Michiels

Johannes Kruse

Alain Starke

Jordi Viader Guerrero

...

2023

Effects of AI and Logic-Style Explanations on Users’ Decisions under Different Levels of Uncertainty

ACM Transactions on Interactive Intelligent Systems

Federico Maria Cau

Hanna Hauptmann

Lucio Davide Spano

Nava Tintarev

2023

Searching for the whole truth: Harnessing the power of intellectual humility to boost better search on debated topics

Alisa Rieger

Frank Bredius

Nava Tintarev

Maria Soledad Pera

2023/4/19

Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education

ACM SIGIR Forum

Christine Bauer

Ben Carterette

Nicola Ferro

Norbert Fuhr

Joeran Beel

...

2023/12/4

How do people make decisions in disclosing personal information in tourism group recommendations in competitive versus cooperative conditions?

Shabnam Najafian

Geoff Musick

Bart Knijnenburg

Nava Tintarev

2023/7/12

Supporting High-Uncertainty Decisions through AI and Logic-Style Explanations

Federico Maria Cau

Hanna Hauptmann

Lucio Davide Spano

Nava Tintarev

2023/3/27

Evaluating explainable social choice-based aggregation strategies for group recommendation

User Modeling and User-Adapted Interaction

Francesco Barile

Tim Draws

Oana Inel

Alisa Rieger

Shabnam Najafian

...

2023/6/21

Evaluation of human-understandability of global model explanations using decision tree

Adarsa Sivaprasad

Ehud Reiter

Nava Tintarev

Nir Oren

2023/9/30

Explainable cross-topic stance detection for search results

Tim Draws

Karthikeyan Natesan Ramamurthy

Ioana Baldini

Amit Dhurandhar

Inkit Padhi

...

2023/3/19

Viewpoint diversity in search results

Tim Draws

Nirmal Roy

Oana Inel

Alisa Rieger

Rishav Hada

...

2023/3/17

See List of Professors in Prof. Nava Tintarev University(Universiteit Maastricht)

Co-Authors

H-index: 84
Barry Smyth

Barry Smyth

University College Dublin

H-index: 58
Ehud Reiter

Ehud Reiter

University of Aberdeen

H-index: 49
Katrien Verbert

Katrien Verbert

Katholieke Universiteit Leuven

H-index: 48
Alexander Felfernig

Alexander Felfernig

Technische Universität Graz

H-index: 37
Judith Masthoff

Judith Masthoff

Universiteit Utrecht

H-index: 32
Alessandro Bozzon

Alessandro Bozzon

Technische Universiteit Delft

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