Too Many Choices, Too Much Doubt: How Augmented Reality Helps Shoppers Decide

What is it about?

Online cosmetics stores often offer dozens of similar shades — and that abundance can paralyze consumers rather than empower them. This study examines whether augmented reality (AR) virtual try-on tools can help shoppers navigate that overload and feel more confident in their choices. Drawing on the Stimulus-Organism-Response model and cognitive load theory, we designed an experiment with 256 North American women who either browsed an online lipstick store normally or used its AR virtual try-on feature. We also conducted two focus groups beforehand to ground our theoretical model in real consumer experiences. The results show that AR reduces the perception that all options look the same (perceived similarity) and eases the mental overwhelm caused by too many choices (confusion by overchoice). Together, these reductions lower the anxiety and doubt consumers feel before committing to a purchase — a state known as prepurchase cognitive dissonance — which in turn increases both their purchase intention and their willingness to pay a higher price for the chosen product.

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Photo by Markus Winkler on Unsplash

Photo by Markus Winkler on Unsplash

Why is it important?

It is estimated that 60% of online sales opportunities are lost because consumers simply cannot decide. The paralysis created by large product assortments and visually similar options is a real and costly problem for e-commerce. This research shows that web-based AR — not just the mobile apps most studies have focused on — can meaningfully address that problem by reducing cognitive load at a critical moment in the customer journey. For retailers, the implication is practical and commercially significant: investing in AR virtual try-on tools is not just about innovation or brand image, but about directly improving conversion rates and profit margins. The study also adds nuance to the debate about whether AR might actually increase confusion by tempting consumers to try more options — our findings suggest that, in practice, the clarity AR provides more than compensates for any additional complexity.

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