Daylist. Exploring the Design of Configuration Settings to Establish a Lean Back On-Demand Radio Experience

Compared to other traditional media such as television and newspapers, radio consumption has remained relatively stable over the past decades. Meanwhile, radio is increasingly exploring the rich possibilities that non-linear consumption patterns offer, such as on-demand or personalised radio. Yet from a human-computer-interaction perspective, radio remains a relatively under-researched topic. Therefore, we study how to offer personalised on-demand radio fragments without losing the highly appreciated ‘ease-of-use’ of traditional radio. We designed and developed a high-fidelity smartphone application that allows listeners to catch up informational items on a daily basis. The study was set up in two conditions; a playlist that deploys a content-based recommender without user configuration; and a playlist based on indicated interests and time-to-spend. The results of our study are based on both a quantitative and qualitative evaluation approach, including 13 in-depth interviews. We discuss the main findings and conclude with design recommendations for on-demand radio applications.

Publication year:2020

Accessibility:Closed