Metadata
Title
Behavior-Change Technology to Support Job Seekers
Category
general
UUID
61b77b4b5a9e491ebdddeb8263039f72
Source URL
https://wp.unil.ch/persuasivelab/2020/07/behavior-change-technology-to-support-j...
Parent URL
https://wp.unil.ch/persuasivelab/research-projects/
Crawl Time
2026-03-23T21:49:19+00:00
Rendered Raw Markdown

Behavior-Change Technology to Support Job Seekers

Source: https://wp.unil.ch/persuasivelab/2020/07/behavior-change-technology-to-support-job-seekers/ Parent: https://wp.unil.ch/persuasivelab/research-projects/

Rising unemployment has led to many discouraged job seekers, making it crucial to understand their motivation and performance during this period. Our research aims to support job seekers throughout their unemployment spell by designing and testing technological interventions in three key areas: job search, interview training, and self-presentation. We are designing and building tools using advanced techniques from the field of artificial intelligence with theoretical underpinnings from self-determination theory. The goal of these interventions is to enhance job seekers’ motivation and performance, helping them overcome periods of unemployment.

Project Leader: Pooja Rao

UNIL collaborators: Rafael Lalive, Hélène Benghalem.

External collaborators: Michele Pellizzari (UNIGE), Matthias Kliegel (UNIGE), Tawanna Dillahunt (U. Michigan), Dinesh Babu Jayagopi (IIIT Bangalore)

Publications:

Collaborative Interventions for Novices to Learn Programming (CAPS)

6 October 20236 October 2023

Good Research Practices (GRP)

12 June 2023

Seyedeh Sharareh Mirzargar

31 May 202321 July 2023

About Mauro Cherubini

View all posts by Mauro Cherubini →