Funnii Studio is a young company that specializes in creating mobile games. We are committed to providing high-quality products to the global market and hope to become one of the top studios. Since 2019, Funnii has released more than 80 mobile games with more than 200 million downloads worldwide. In 2020, we were proud our products are one of the US and China Top Mobile Games with puzzle and ...

Name: This video is a compilation of the funniest videos from this year. Some are funny fails, some are just try not to laugh! We hope you enjoy these hila...

The following paper addresses this issue by introducing a multimodal collection of video game player data: the FUNii Database. The database contains in-laboratory physiological, behavioral and subjective data from 190 players acquired while they played Ubisoft's Assassin's Creed: Unity and Assassin's Creed: Syndicate.

Jun 20, 2019 · The FUNii project aims at developing an adaptive gaming system that uses a physio-behavioural model of fun (heart rate, respiratory activity, skin conductance, eye-tracking and head movements) to detect and maximize players’ enjoyment in real-time.

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The FUNii project aims at developing an adaptive gaming system that uses a physio-behavioural model of fun (heart rate, respiratory activity, skin conduc- tance, eye-tracking and head movements...

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Sep 1, 2019 · The FUNii database [4] contains physiological data from 190 players during gameplay of Ubisoft's Assassin's Creed Unity [33] and Assassin's Creed Syndicate [34]. The first dataset of its kind in...

This paper investigates the use of physio-behavioural detection of fun to model players’ preferences in real-time in the context of an adaptive game.

The findings support that stereotypical preference modelling can be achieved successfully through a physio-behavioural model of fun, but that further investigation on adaptation strategies to those preferences are needed in order to reach the adaptive game's promise of maximizing player’s enjoyment. This paper investigates the use of physio-behavioural detection of …