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Jari Takatalo

Jari Takatalo

Aalto-yliopisto

H-index: 22

Europe-Finland

About Jari Takatalo

Jari Takatalo, With an exceptional h-index of 22 and a recent h-index of 11 (since 2020), a distinguished researcher at Aalto-yliopisto, specializes in the field of Human-Computer Interaction, User Experience, Games User Research, VR, Technology Enhanced Learning and Coaching.

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

Predicting game engagement and difficulty using ai players

Predicting game difficulty and engagement using AI players

Predicting game difficulty and churn without players

Jari Takatalo Information

University

Position

Adjunct Professor of HCI (Univ. of Helsinki) Department of Computer Science

Citations(all)

1716

Citations(since 2020)

517

Cited By

1410

hIndex(all)

22

hIndex(since 2020)

11

i10Index(all)

31

i10Index(since 2020)

15

Email

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University Profile Page

Aalto-yliopisto

Google Scholar

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Jari Takatalo Skills & Research Interests

Human-Computer Interaction

User Experience

Games User Research

VR

Technology Enhanced Learning and Coaching

Top articles of Jari Takatalo

Title

Journal

Author(s)

Publication Date

Predicting game engagement and difficulty using ai players

arXiv preprint arXiv:2107.12061

Shaghayegh Roohi

Christian Guckelsberger

Asko Relas

Henri Heiskanen

Jari Takatalo

...

2021/7/26

Predicting game difficulty and engagement using AI players

Proceedings of the ACM on Human-Computer Interaction

Shaghayegh Roohi

Christian Guckelsberger

Asko Relas

Henri Heiskanen

Jari Takatalo

...

2021/10/6

Predicting game difficulty and churn without players

Shaghayegh Roohi

Asko Relas

Jari Takatalo

Henri Heiskanen

Perttu Hämäläinen

2020/11/2

See List of Professors in Jari Takatalo University(Aalto-yliopisto)