Table 6.

Results of the questionnaire designed based on mechanic part of the playability heuristics [52].

Question		Question, mean (SD)	Heuristic, mean (SD)	Heuristic overall percent
1. Game should react in a consistent, challenging, and exciting way to the player’s actions (eg, appropriate music with the action).
	Q1	2.8 (1.6)	2.8 (1.6)	51
2. Make effects of the AIa clearly visible to the player by ensuring they are consistent with the player’s reasonable expectations of the AI actor.
	Q2	3.1 (0.9)	3.1 (0.9)	62.3
3. A player should always be able to identify their score/status and goal in the game.
	Q3	4.4 (0.5)	4.3 (0.14)	86
	Q4	4.2 (0.9)	N/Ab	N/A
4. Mechanics/controller actions have consistently mapped and learnable responses.
	Q5	4.4 (1.1)	4.15 (0.35)	83
	Q6	3.9 (1.6)	N/A	N/A
5. Shorten the learning curve by following the trends set by the gaming industry to meet user’s expectations.
	Q7	4.3 (1.3)	3.95 (0.49)	79
	Q8	3.6 (1.6)	N/A	N/A
6. Controls should be intuitive, and mapped in a natural way; they should be customizable and default to industry standard settings.
	Q9	4.5 (1.0)	4.35 (0.21)	87
	Q10	4.2 (0.9)	N/A	N/A
7. Player should be given controls that are basic enough to learn quickly yet expandable for advanced options.
	Q11	3.3 (1.3)	3.53 (0.32)	70.67
	Q12	3.4 (1.7)	N/A	N/A
	Q13	3.9 (1.4)	N/A	N/A

^aAI: artificial intelligence.

^bN/A: not applicable.