Elisa Mekler
Post Doctoral Fellow
Elisa Mekler is a post-doctoral fellow at the HCI Games Group. She holds a PhD in Cognitive Psychology from the University of Basel with special emphasis on Human-Computer Interaction. Her research focuses on the characteristics of enjoyable and meaningful user experiences with games, gamification, and interactive technology in general. She is particularly interested in why people sometimes value (mixed and negative) emotional experiences with technology, as well as the motivational mechanisms underlying gamification. Her publications have won best paper (top 1%) and best paper honourable mention awards (top 5%) at the premier human-computer interaction conferences CHI and CHI PLAY.
Projects
Publications
Year 2017
Rina R. Wehbe,
Elisa D. Mekler,
Mike Schäkermann, Edward Lank, and
Lennart E. Nacke. 2017. Testing Incremental Difficulty Design in Platformer Games. In
Proceeding of the 2017 ACM Conference on Human Factors in Computing Systems - CHI 2017. Denver, CO, USA. ACM, 5109-5113.
doi:10.1145/3025453.3025697 @inproceedings{Wehbe2017,
abstract = {Designing difficulty levels in platformer games is a challenge for game designers. It is important because design decisions that affect difficulty also directly affect player experience. Consequently, design strategies for balancing game difficulty are discussed by both academics and game designers. In this paper, we study how manipulating the following design decisions, commonly found in platformers, moderates difficulty: Scroll Speed, Target Size, Jump Task Complexity, and Perspective. Results for Scroll Speed and Target Size indicate that errors increase as speed increases and platform size decreases. However, results for jump task complexity demonstrate a separation of errors from task complexity. Specifically, while double-jump tasks are harder than single-jump tasks, triple-jump tasks appear to be as difficult as double-jump tasks. Additionally, the study demonstrates how changes in perspective affect the errors made by players in gameplay. The study results are applicable both to automatic level generation and dynamic difficulty adjustment in platformer games.},
address = {Denver, CO, USA},
author = {Wehbe, Rina R and Mekler, Elisa D and Schaekermann, Mike and Lank, Edward and Nacke, Lennart E},
booktitle = {Proceeding of the 2017 ACM Conference on Human Factors in Computing Systems},
doi = {http://dx.doi.org/10.1145/3025453.3025697},
pages = {5109--5113},
publisher = {ACM},
title = {{Testing Incremental Difficulty Design in Platformer Games}},
year = {2017}
}Designing difficulty levels in platformer games is a challenge for game designers. It is important because design decisions that affect difficulty also directly affect player experience. Consequently, design strategies for balancing game difficulty are discussed by both academics and game designers. In this paper, we study how manipulating the following design decisions, commonly found in platformers, moderates difficulty: Scroll Speed, Target Size, Jump Task Complexity, and Perspective. Results for Scroll Speed and Target Size indicate that errors increase as speed increases and platform size decreases. However, results for jump task complexity demonstrate a separation of errors from task complexity. Specifically, while double-jump tasks are harder than single-jump tasks, triple-jump tasks appear to be as difficult as double-jump tasks. Additionally, the study demonstrates how changes in perspective affect the errors made by players in gameplay. The study results are applicable both to automatic level generation and dynamic difficulty adjustment in platformer games.
Year 2016
Gustavo F. Tondello,
Dennis L. Kappen,
Elisa D. Mekler,
Marim Ganaba, and
Lennart E. Nacke. 2016. Heuristic Evaluation for Gameful Design. In
Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play Extended Ebstracts - CHI PLAY EA '16. Austin, TX, USA. ACM.
doi:10.1145/2968120.2987729 @inproceedings{Tondello2016a,
Abstract = {Despite the emergence of many gameful design methods in the literature, there is a lack of evaluation methods specific to gameful design. To address this gap, we present a new set of guidelines for heuristic evaluation of gameful design in interactive systems. First, we review several gameful design methods to identify the dimensions of motivational affordances most often employed. Then, we present a set of 28 gamification heuristics aimed at enabling experts to rapidly evaluate a gameful system. The resulting heuristics are a new method to evaluate user experience in gameful interactive systems.},
Address = {Austin, TX, USA},
Author = {G. F. Tondello, D. L. Kappen, E. D. Mekler, M. Ganaba, and L. E. Nacke},
Booktitle = {Proceedings of the 2016 annual symposium on computer-human interaction in play extended abstracts - chi play ea '16},
Doi = {10.1145/2968120.2987729},
File = {::},
Img = {http://hcigames.com/wp-content/uploads/2016/08/ratings.png},
Keywords = {Heuristic Evaluation, Gamification, Gameful Design},
Publisher = {ACM},
Title = {Heuristic Evaluation for Gameful Design},
Url = {https://hcigames.com/download/heuristic-evaluation-for-gameful-design},
Year = {2016},Despite the emergence of many gameful design methods in the literature, there is a lack of evaluation methods specific to gameful design. To address this gap, we present a new set of guidelines for heuristic evaluation of gameful design in interactive systems. First, we review several gameful design methods to identify the dimensions of motivational affordances most often employed. Then, we present a set of 28 gamification heuristics aimed at enabling experts to rapidly evaluate a gameful system. The resulting heuristics are a new method to evaluate user experience in gameful interactive systems.
