In this work, we analyze video pitches of creators in crowdfunding campaigns and focus on linguistic particularities of "lead user" entrepreneurs. Theory suggests that lead users sense needs long before they become known to the broader public and would benefit greatly from finding a solution to these needs. For our study, we consider 537 video pitches of creators on Kickstarter, distinguishing lead users and regular campaigners. The study employs natural language processing (NLP) analysis of (video-to-)speech-to-text content. Initial results indicate that lead users are more oriented towards product and problem-solving rather than focusing on pecuniary motives.
|Title of host publication||CHI EA'17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems|
|Place of Publication||Denver Colorado|
|Publisher||Association for Computing Machinery (ACM)|
|Publication status||Published - May 2017|