English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper we describe a mechanism of generating credible affectivereactions in a virtual recruiter during an interaction with a user. This isdone using communicative performance computation based on the behaviours of theuser as detected by a recognition module. The proposed software pipeline ispart of the TARDIS system which aims to aid young job seekers in acquiring jobinterview related social skills. In this context, our system enables thevirtual recruiter to realistically adapt and react to the user in real-time.

Interpreting social cues to generate credible affective reactions of virtual job interviewers