Virtual human technology: patient demographics and healthcare training factors in pain observation and treatment recommendations

Figures & data

Figure 1 A young, Caucasian, female virtual human showing a high pain expression.

Table 1 Means (M) and standard deviations (SD) of pain intensity and recommendation for medical help

	Pain intensity				Recommend medical help
	Undergraduate students		Healthcare trainees		Undergraduate students		Healthcare trainees
	N = 75		N = 107		N = 75		N = 107
	M	SD	M	SD	M	SD	M	SD
Sex
Men	38.65	14.53	33.74	15.78	44.06	21.16	48.79	25.00
Women	41.14	13.87	36.16	16.46	47.15	20.95	50.13	25.18
Race
Caucasian	40.06	13.97	32.97	15.51	45.92	21.18	48.15	25.27
African American	39.73	14.46	36.93	17.07	45.29	20.72	50.76	24.15
Age
Young	39.42	13.66	31.32	15.00	44.35	21.18	45.89	25.03
Old	40.37	14.91	38.59	17.89	46.85	20.94	53.03	24.74
Pain intensity cue
Low pain intensity	25.94	14.80	21.26	14.65	31.94	23.99	37.91	26.65
High pain intensity	53.86	16.99	48.64	20.31	59.26	20.91	61.00	24.90