Increasingly, they're becoming a fact of modern life: a computerized avatar (or friendly looking stock image) that guides you through tech support or an automated training session. Although they may seem horribly fake, past research has suggested that we react to them in the same ways we react to a real person: studies have suggested that we tend to be more comfortable when the virtual personality shares our gender and ethnic background, just as we are when we work with living humans. Now, a new study on virtual training instructors extends that to show that people work best with virtual systems that measure progress the same way that they do.
The study actually found a weaker effect of gender and ethnic similarity than past work had suggested, with gender similarity having no effect on the outcomes of training, and ethnic similarity actually making things worse. Combined, however, the two helped increase the subjects' sense of engagement in the training.
The virtual trainer's approach to instruction didn't have much of an effect. It didn't matter how a subject preferred to perform instruction—either through explicit directions or general suggestions—they'd work with a virtual instructor with the opposite style. What did make a difference is how the instructor measured improvements: trainees liked one that matched their own style, either measured against the other students, or measured against their own past performance.
The effect was even more pronounced when the subjects were asked to rate their instructors for similarity. Perceived similarities in feedback were associated with improvements in nearly every measure of training success (the exception being declarative knowledge). When the instructees perceived their virtual teacher looked like them, they did feel more positively towards the avatar, but actually scored worse in tests of objective knowledge.
The results suggest that the effect of trying to match a virtual instructor to a student's gender and ethnicity will provide a weak boost to the student's sense of affiliation with the instructor, but the end result isn't very helpful, at least in terms of successful training. A far more dramatic effect can be had by matching the student's feedback style, which will leave the student feeling much more positively about the experience.
Computers in Human Behavior, 2011. DOI: 10.1016/j.chb.2010.12.016 (About DOIs).
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