Rarely do we acquire a creative good after experiencing it in its entirety. Individuals often learn about a work from partial information (e.g., reviews, word-of-mouth, summaries, abstracts), leading to inevitable uncertainty in predicting the content and our preference for a work. Background information about a work, such as its authorship, provenance, and interpretive narratives, not only serves as a decision aid but also provides the necessary means that pique our interest and enhance our appreciation of it. The nature of uncertainty experienced by users is likely to change in a digital environment. While perusing the content of a work is limited in an online setting, novel decision aids such as user reviews and recommender systems are becoming increasingly prevalent to reduce decision uncertainty and promote serendipitous information encounters.