UK – Phebi has launched a major new release of its flagship Software as a Service offering.
This release offers a number of new features, including immediately available summary reports and the ability to analyze videos for emotional content, both through a new user interface designed for agility and DIY responsiveness.
Combined with Phebi’s legacy of providing rich emotional insights as a no-programming-required add-on for MR platforms and web forms, these new tools should take Phebi from selective use on large-scale projects to daily use by agencies and brands. Customers can now easily collect and use non-conscious emotional information from human speech on a large scale, according to the Southampton-based company.
Phebi detects, analyzes and scores people’s emotions based on the characteristics of their speech (tonal analysis). It is used in quantitative research to obtain longer and richer answers to open-ended questions and in qualitative research to analyze audio and video files in real time. Phebi transcribes what is said (including English translation if necessary), detects emotions, provides reports summarizing ideas for presentations, and provides in-depth analysis tools.
“Phebi has always been known for how its innovative combination of behavioral science research and voice technology improves research by providing insights based on people’s non-conscious emotional responses,” said the co-founder and CEO. by Phebi, Mike Page.
He continued, “In addition to rich new information, the industry is increasingly valuing agility. This new version radically changes the speed of understanding of Phebi [process]. With our clients, we’ve reviewed every step, from setup and voice capture to initial summaries and the ability to drill down by subgroup, topic, and/or emotion.
“Together, we found ways to save time and effort while revealing even more insights into emotion and engagement. Now agencies and brands can immediately see the emotional landscape of subjects in their project and discover some very interesting moments, while being able to quickly discover next-level information.”