Sökning: "In the eye of a pandemic"
Visar resultat 11 - 15 av 15 uppsatser innehållade orden In the eye of a pandemic.
11. In the Eye of the Storm - A Qualitative Study on Changing Information Flows' Effect on Internal Crisis Communication in Swedish Hospitals
C-uppsats, Handelshögskolan i Stockholm/Institutionen för företagande och ledningSammanfattning : Internal crisis communication is an under-researched area crucial to understand. At the same time, digital development provides new means for organisational communication and information. This study examines how changing information flows, caused by digital media and the digital age, affect internal crisis communication. LÄS MER
12. Digitala intervjuer: nya förutsättningar för ickeverbal övertygelse : En actioanalys ur ett mottagarperspektiv
Kandidat-uppsats, Södertörns högskola/RetorikSammanfattning : The effects of the Covid-19 pandemic has put applicants searching for work in a different position. Due to the pandemic restrictions, job interviews are held digitally at home where most body language comes out of sight from the camera. LÄS MER
13. The Rise of Dark Mode : A qualitative study of an emerging user interface design trend
Kandidat-uppsats, Jönköping UniversitySammanfattning : Purpose – As screen time per individual increases, more users of digital devices experience ocular related diseases. The purpose of this study is to gather reasons for the vast popularity Dark Mode gained in contemporary society, by investigating previous design eras. LÄS MER
14. Evaluation of a prototype for eye contact in video communication
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för psykologiSammanfattning : Today, video communication is common in private and professional communication, and during corona pandemic 2020, its use has increased significantly. This has raised the issue on the fact that video communication is not as perceived as natural as a face-to-face conversation, and the lack of eye contact can be a contributing cause. LÄS MER
15. Social Distancing AI: Using super-resolution to train an object detection model on low resolution images
Kandidat-uppsats, Lunds universitet/Matematisk statistikSammanfattning : This paper addresses the following hypothetical situation: suppose that we want to train an object detection algorithm but that only low resolution data is available. As a tentative solution to this problem, this paper suggest to first super-resolve the low resolution data to obtain higher resolution data that is then fed to the object detection algorithm. LÄS MER