This article introduces a dataset of human-machine interactions collected in a controlled and structured manner. The aim of this dataset is to provide insights into user behavior and support the ...

Mobile applications have become a critical part of modern business strategies, helping companies connect with customers, ...

As AI continues to gain new momentum and traction across industries, its technologies are advancing across tools that many companies utilize in their day-to-day. From automation and audits to data ...

This data descriptor introduces a dataset designed for affective computing applications in the context of human-computer interaction, with a particular focus on user experience (UX) and website ...

Gone are the days when AI was merely a distant concept. Today, AI has already been integrated into our daily lives through various applications and services, transforming how we interact with digital ...

For a long time, companies treated user interaction as a collection of separate moments. Support handled problems. Sales handled opportunities. Onboarding handled setup. Operations handled exceptions.

Google published a research paper on how to extract user intent from user interactions that can then be used for autonomous agents. The method they discovered uses on-device small models that do not ...