Exploring the pace of an endless runner game in stationary and mobile settings
CHI PLAY 2019 - Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play, Page: 543-550
2019
- 5Citations
- 14Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
We explore the effects of pace of an endless runner game on user performance, preference, enjoyment, and engagement in stationary and mobile settings (while walking). Results revealed that game pace affects performance in both settings. The number of attempts increases and the total score decreases exponentially with increasing pace. Enjoyment, engagement, and preference are unaffected, yet most users prefer a slower pace while walking. These findings encourage further research on how to manipulate game pace based on the player’s mobility status and physiological state to improve the mobile gaming experience.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know