Abstract
Augmented reality (AR) usage has increased substantially in recent years due to the proliferation of smart phone technology. Retail companies have leveraged augmented reality by allowing users to view products in their space before they buy. Because usability is related to return on investment (Marcus, 2005; Nielsen et al., 2013), ensuring the usability of these products is vital. One way to accomplish this is through heuristic analyses (Tan et al., 2009). While there are many time-tested sets of heuristics (Nielsen, 1994; Schneiderman & Plaisant, 2004), these often fail to address many of the interactions that are unique to AR (Derby & Chaparro, 2021). In this paper, we demonstrate the viability of supplementing traditional heuristic analyses (Nielsen, 1994) with a new heuristic checklist designed specifically for augmented and mixed reality (Derby & Chaparro, In Press) by evaluating a retail AR program.
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