Inventor(s)

Arnaud Caigniet

Abstract

Between hybrid work paradigms and people frequently staying at home, the chances are decreasing that an individual will meet other people in their office with which they are accustomed to working. Such a situation impacts both a company’s productivity and the loyalty of employees to their employer. Techniques are presented herein that support a ‘Go to the Office’ score. Such a score helps an individual decide which days are the most relevant for them to go to their office. According to aspects of the presented techniques, a (e.g., daily or hourly) score identifies when going to the office will increase an individual’s chances of connecting with colleagues with whom they do not have planned meetings or activities. Such a score may be based on the likelihood of meeting people that are important to an individual but with whom the individual does not necessarily engage on a regular basis. Additionally, such a score may be calculated from a number of distinct measures, each of which may be developed through technologies such as machine learning and indoor geolocation techniques (e.g., Wi-Fi triangulation); through an analysis of audio and video calls; through an analysis of exchanged chat, email, etc. messages; through an analysis of an individual’s agenda; etc. With a ‘Go to the Office’ score indicating, for example, the best time to stay home and the best time to commute, hybrid working is at its best.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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