Researchers

Matthias Klauser

Ph.D. Student, Winter 2012

Projects

Developing and Analysing Adaptive, Enjoyable, and Engaging Human-Computer Interfaces

Publications

Year 2014

Social Player Analytics in a Facebook Health Game

@inproceedings{Nacke:2014:SPA:2729485.2729512,
Abstract = {Social health games can drive healthy behaviour. To track social behaviour change in social network games (SNGs), gameplay metrics should quantify socially-engaging gameplay behaviour based on player interactions. We developed social player metrics in a quantitative study of player behaviour in a social health game called Healthseeker (developed by Ayogo Health Inc.). This Facebook game targets people with diabetes to help them manage health goals in real life. Our metrics identify which game mechanics led to more gameplay success, connectedness and virality. We also identified how the behaviour of successful players differs from unsuccessful players in the game. Our results support that game mechanics aiming at social interactions can motivate players to solve more missions, to fulfill more healthy goals and to play the game longer. We conclude that having a well-connected social network can improve player success in solving game missions.},
Address = {Seoul, Republic of Korea},
Author = {L. E. Nacke, M. Klauser, and P. Prescod},
Booktitle = {Proceedings of HCI Korea},
Img = {http://hcigames.com/wp-content/uploads/2015/05/HealthSeeker.png},
Isbn = {978-89-6848-752-1},
Numpages = {8},
Pages = {180-187},
Publisher = {Hanbit Media, Inc.},
Series = {HCIK '15},
Title = {Social Player Analytics in a Facebook Health Game},
Url = {https://hcigames.com/download/social-player-analytics-in-a-facebook-health-game},
Year = {2014},

Social health games can drive healthy behaviour. To track social behaviour change in social network games (SNGs), gameplay metrics should quantify socially-engaging gameplay behaviour based on player interactions. We developed social player metrics in a quantitative study of player behaviour in a social health game called Healthseeker (developed by Ayogo Health Inc.). This Facebook game targets people with diabetes to help them manage health goals in real life. Our metrics identify which game mechanics led to more gameplay success, connectedness and virality. We also identified how the behaviour of successful players differs from unsuccessful players in the game. Our results support that game mechanics aiming at social interactions can motivate players to solve more missions, to fulfill more healthy goals and to play the game longer. We conclude that having a well-connected social network can improve player success in solving game missions.

Year 2013

EEG-Based Assessment of Video and In-Game Learning

@inproceedings{wehbe2013eeg,
Abstract = {People often learn game-related information in video games by taking turns playing and watching each other play. This type of in-game learning involves both observation and imitation of actions. However, games are also made to be learnt individually during gameplay. Our study seeks to assess which is more effective for learning: just playing a game yourself or watching somebody play it first. We compare two gameplay situations: playing a digital game before watching a game-play video and playing a digital game after watching a gameplay video. Using a between-participants design, to measure learning effectiveness we recorded Mu rhythms, which are indirectly linked to mirror neuron activation during imitation learning. We also analyze hemispheric frontal alpha asymmetry. Our results indicate that presentation order of the video game matters and players are more aroused when watching a gameplay video before playing.},
Address = {Paris, France},
Author = {R. R. Wehbe, D. L. Kappen, D. Rojas, M. Klauser, B. Kapralos, and L. E. Nacke},
Booktitle = {Proceedings of CHI EA 2013},
Doi = {10.1145/2468356.2468474},
Img = {http://hcigames.com/wp-content/uploads/2015/05/eeg-based_assessment_of_video_and_in-game_learning.png},
Organization = {ACM},
Pages = {667-672},
Publisher = {ACM},
Title = {EEG-Based Assessment of Video and In-Game Learning},
Url = {https://hcigames.com/download/eeg-based-assessment-of-video-and-in-game-learning},
Year = {2013},

People often learn game-related information in video games by taking turns playing and watching each other play. This type of in-game learning involves both observation and imitation of actions. However, games are also made to be learnt individually during gameplay. Our study seeks to assess which is more effective for learning: just playing a game yourself or watching somebody play it first. We compare two gameplay situations: playing a digital game before watching a game-play video and playing a digital game after watching a gameplay video. Using a between-participants design, to measure learning effectiveness we recorded Mu rhythms, which are indirectly linked to mirror neuron activation during imitation learning. We also analyze hemispheric frontal alpha asymmetry. Our results indicate that presentation order of the video game matters and players are more aroused when watching a gameplay video before playing.

Social Player Analytics in a Facebook Health Game

@article{nacke2014social,
  title={Social player analytics in a Facebook health game},
  author={Nacke, Lennart E and Klauser, Matthias and Prescod, Paul},
  journal={한국 HCI 학회 학술대회},
  pages={180--187},
  year={2014}
}

Year 2012

CycloShoot: A first-person shooter fitness game on a bicycle