Where to go? Smart guidance based on Iot sensor-data

There is an increasing interest in indoor occupation and guidance information for business and societal purposes Scientific literature has paid attention to various ways of detecting occupation using different sensors as data source including various algorithms for estimating occupation rates from this data Gaining meaningful insights from the data still faces challenges because the potential benefits are not well understood This study presents a proof-of-concept of an indoor occupation information system, following the design science methodology We review various types of sensor data that are typically available or easy-to-install in buildings such as offices, classrooms and meeting rooms This study contributes to current research by incorporating business requirements taken from expert interviews and tackling one of the main barriers for business by designing an affordable system on a common existing infrastructure We believe that occupation information systems call for further research, in particular also in the context of social distancing because of covid19 © Proceedings of the 13th IADIS International Conference ICT, Society and Human Beings 2020, ICT 2020 and Proceedings of the 6th IADIS International Conference Connected Smart Cities 2020, CSC 2020 and Proceedings of the 17th IADIS International Conference Web Based Communities and Social Media 2020, WBC 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020 All rights reserved