Search Results for author: Magy Seif El-Nasr

Found 12 papers, 2 papers with code

Assessing the Impact of Personality on Affective States from Video Game Communication

no code implementations22 Sep 2023 Atieh Kashani, Johannes Pfau, Magy Seif El-Nasr

Individual differences in personality determine our preferences, traits and values, which should similarly hold for the way we express ourselves.

Modeling Player Personality Factors from In-Game Behavior and Affective Expression

no code implementations27 Aug 2023 Reza Habibi, Johannes Pfau, Magy Seif El-Nasr

Developing a thorough understanding of the target audience (and/or single individuals) is a key factor for success - which is exceptionally important and powerful for the domain of video games that can not only benefit from informed decision making during development, but ideally even tailor game content, difficulty and player experience while playing.

Decision Making

EvolvingBehavior: Towards Co-Creative Evolution of Behavior Trees for Game NPCs

no code implementations1 Sep 2022 Nathan Partlan, Luis Soto, Jim Howe, Sarthak Shrivastava, Magy Seif El-Nasr, Stacy Marsella

To assist game developers in crafting game NPCs, we present EvolvingBehavior, a novel tool for genetic programming to evolve behavior trees in Unreal Engine 4.

Open Player Modeling: Empowering Players through Data Transparency

no code implementations12 Oct 2021 Jichen Zhu, Magy Seif El-Nasr

In this paper, we synthesize existing work from the Intelligent User Interface and Learning Science research communities, where they started to investigate the potential of making such data and models available to users.

Design-Driven Requirements for Computationally Co-Creative Game AI Design Tools

no code implementations29 Jul 2021 Nathan Partlan, Erica Kleinman, Jim Howe, Sabbir Ahmad, Stacy Marsella, Magy Seif El-Nasr

We evince deep connections between game AI design and the design of co-creative tools, and present implications for future co-creativity tool research and development.

Advancing Methodology for Social Science Research Using Alternate Reality Games: Proof-of-Concept Through Measuring Individual Differences and Adaptability and their impact on Team Performance

no code implementations25 Jun 2021 Magy Seif El-Nasr, Casper Harteveld, Paul Fombelle, Truong-Huy Nguyen, Paola Rizzo, Dylan Schouten, Abdelrahman Madkour, Chaima Jemmali, Erica Kleinman, Nithesh Javvaji, Zhaoqing Teng, Extra Ludic Inc

In this report we discuss work tackling this open problem with a focus on understanding individual differences and its effect on team adaptation, and further explore the effect of these factors on team performance as both an outcome and a process.

Esports Agents with a Theory of Mind: Towards Better Engagement, Education, and Engineering

no code implementations8 Mar 2021 Murtuza N. Shergadwala, Magy Seif El-Nasr

The role of AI in esports is shifting from leveraging games as a testbed for improving AI algorithms to addressing the needs of the esports players such as enhancing their gaming experience, esports skills, and providing coaching.

Human-Computer Interaction

VINS: Visual Search for Mobile User Interface Design

1 code implementation10 Feb 2021 Sara Bunian, Kai Li, Chaima Jemmali, Casper Harteveld, Yun Fu, Magy Seif El-Nasr

By utilizing this dataset, we propose an object-detection based image retrieval framework that models the UI context and hierarchical structure.

Image Retrieval object-detection +2

The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games

no code implementations26 Jun 2018 Zhengxing Chen, Truong-Huy D Nguyen, Yuyu Xu, Chris Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr

The selection of heroes, also known as pick or draft, takes place before the match starts and alternates between the two teams until each player has selected one hero.

Modeling Individual Differences in Game Behavior using HMM

no code implementations1 Apr 2018 Sara Bunian, Alessandro Canossa, Randy Colvin, Magy Seif El-Nasr

We present a Hidden Markov Model (HMM) of player in-game behaviors to model individual differences, and 2. using the output of the HMM, we generate behavioral features used to classify real world players' characteristics, including game expertise and the big five personality traits.

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