Role-Playing with Robot Characters: Increasing User Engagement through Narrative and Gameplay Agency Data Analysis
Spencer Ng, Ting-Han Lin, You Li, Sarah Sebo
Last Updated 3/4/2024
3.6.1 Short Flow State Scale: Challenge-Skill Balance
I felt like I was competent enough to meet the high demands of the situation.
Plot
Mean and Standard deviation:
| Mean | Standard Deviation | |
|---|---|---|
| Control | 3.9 | 1.021 |
| Gameplay Agency | 4.2 | 1.240 |
| Narrative Agency | 4.4 | 0.883 |
Kruskal-Wallis Test
##
## Kruskal-Wallis rank sum test
##
## data: Q5.1_1 by Q1.1
## Kruskal-Wallis chi-squared = 4.1922, df = 2, p-value = 0.1229## # A tibble: 1 × 5
## .y. n effsize method magnitude
## * <chr> <int> <dbl> <chr> <ord>
## 1 Q5.1_1 60 0.0385 eta2[H] small##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: df$Q5.1_1 and df$Q1.1
##
## Control Gameplay Agency
## Gameplay Agency 0.35 -
## Narrative Agency 0.18 1.00
##
## P value adjustment method: bonferroni3.6.1 Short Flow State Scale: Action-Awareness Merging
I did things spontaneously and automatically without having to think.
Plot
Mean and Standard deviation:
| Mean | Standard Deviation | |
|---|---|---|
| Control | 3.40 | 1.188 |
| Gameplay Agency | 3.25 | 1.164 |
| Narrative Agency | 3.45 | 1.146 |
Kruskal-Wallis Test
##
## Kruskal-Wallis rank sum test
##
## data: Q5.1_2 by Q1.1
## Kruskal-Wallis chi-squared = 0.35427, df = 2, p-value = 0.8377## # A tibble: 1 × 5
## .y. n effsize method magnitude
## * <chr> <int> <dbl> <chr> <ord>
## 1 Q5.1_2 60 -0.0289 eta2[H] small##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: df$Q5.1_2 and df$Q1.1
##
## Control Gameplay Agency
## Gameplay Agency 1 -
## Narrative Agency 1 1
##
## P value adjustment method: bonferroni