24 citations · 36 across the 21 of their papers we have counts for
7 papers · 1 filter
SENSE: State-aware Emotion Navigation Storytelling Engine
Yi Xia, Pablo Carrasco Velo, Mudit Paliwal +5
This paper presents SENSE, a state-aware framework for generating playable branching visual novels with multi-track emotional navigation. Integrating a state-based narrative archit…
Emoception: Selective Affective Layer Fine-Tuning of Video Vision Transformers for Player Arousal Change Recognition From Gameplay Footage
Yi Xia, Ibrahim Khan, Mury Fajar Dewantoro +2
This article proposes Selective Affective Layer Fine-Tuning (SALFT), an efficient adaptation framework for Video Vision Transformers in player arousal recognition from gameplay. To…
Enhanced DareFightingICE Competitions: Sound Design and AI Competitions
Ibrahim Khan, Chollakorn Nimpattanavong, Thai Van Nguyen +2
This paper presents a new and improved DareFightingICE platform, a fighting game platform with a focus on visually impaired players (VIPs), in the Unity game engine. It also introd…
DareFightingICE Competition: A Fighting Game Sound Design and AI Competition
Ibrahim Khan, Thai Van Nguyen, Xincheng Dai +1
This paper presents a new competition -- at the 2022 IEEE Conference on Games (CoG) -- called DareFightingICE Competition. The competition has two tracks: a sound design track and…
Toward a Minecraft Mod for Early Detection of Alzheimer's Disease in Young Adults
Satoko Ito, Ruck Thawonmas, Pujana Paliyawan
This paper proposes a Minecraft-based system for early detection of Alzheimer's disease in young adults. Early detection, where spatial navigation is a crucial key, is regarded as…
Towards An Angry-Birds-like Game System for Promoting Mental Well-being of Players Using Art-Therapy-embedded PCG
Zhou Fang, Pujana Paliyawan, Ruck Thawonmas +1
This paper presents an integration of a game system and the art therapy concept for promoting the mental well-being of video game players. In the proposed game system, the player p…
A Personalized Method for Calorie Consumption Assessment
Yunshi Liu, Pujana Paliyawan, Takahiro Kusano +2
This paper proposes an image-processing-based method for personalization of calorie consumption assessment during exercising. An experiment is carried out where several actions are…