Uppsats
Implementation of Sustainability Dashboard using Augmented Reality : A comparative usability evaluation study
Master-uppsats
Uppsala universitet/Industriell teknik
Publicerad: 2022
Språk: Engelska
Nyckelord
klicka för att sökaSammanfattning
With the industrial revolutions, there have been challenges to deal with producing goods from limited natural resources while keeping the negative environmental impacts low. The potential impact and contribution from Industry 4.0 are increasingly growing attention. Industry 4.0 allows access to a large amount of data, which can be used to increase knowledge and awareness of unsustainable production performance, and empower more sustainable decision-making. To preserve the advantages of the transition to Industry 4.0, advanced visualization techniques for data-oriented operations are needed to get the full value of available data. One core Industry 4.0 technology that could help display information on a new level is augmented reality. However, there is a lack of studies evaluating the usability of augmented reality in an industrial context. With the purpose to investigate how visualization techniques can be implemented to increase the sustainability of a production line, a solution that could be visualized using a monitor, mobile-augmented reality, or augmented reality with a head-mounted display is presented. The usability of the dashboard solution is evaluated with user testing, which is conducted at Scania in Södertälje, Sweden. A mix of qualitative and quantitative research methodology is used, where an empirical study took place in a laboratory environment. Measurements and questionnaires provide quantitative data for empirical evidence, whereas qualitative data as open questions and thinking aloud isincluded to support the concluding summary. The study concludes with a framework capable of collecting live sensor data and visualizing it through various media. Additionally, the monitor is the most efficient media, and the most satisfying media overall. The mobile media have the highest effectiveness.
Information
- Författare
- Viklund, Philip, Sjölander, Martina
- Lärosäte / institution
- Uppsala universitet/Industriell teknik
- Publiceringsdatum
- 2022
- Uppsatstyp
- Master-uppsats
- Språk
- Engelska
Utforska vidare
Liknande uppsatser
Uppsatser med liknande ämnen och nyckelord.
Master-uppsats, Göteborgs universitet/Graduate School
Hagsten-Nielsen, Erik, Högberg, Magnus
Publicerad: 2024-07-10
Kandidat-uppsats, Uppsala universitet/Industriell teknik
Blixt Ryge, Ruben, Chan, David, Lindborg, David
Publicerad: 2025
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap
Mohammadi, Mohammad, Hasani, Fatanhe
Publicerad: 2024
Master-uppsats, Jönköping University/Internationella Handelshögskolan
Buettig, Claudius, Stenmark, Jennifer
Publicerad: 2024
Master-uppsats, Jönköping University/JTH, Logistik och verksamhetsledning
Malmer, Sara, Olsson, Evelina
Publicerad: 2024
Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem
Tran, Danny
Publicerad: 2026