The use of smart glasses in the assembly industry can lead to an increase in the local maximum values of the forehead temperatures.
Abstract
Smart glasses are an emerging digital technology designed to assist employees at a variety of industrial workplaces (1,2). This study applied facial thermography to examine the change of the forehead temperature after having worked on an assembly task with smart glasses for 30 min.METHODSTwelve adults (29.0±9.0 yrs) took part in this study. All participants had to complete a complex construction task realized by a toy model consisting of 75 parts. Two different smart glasses (Microsoft HoloLens and MagicLeapOne) and a tablet (Lenovo) were used to provide the subjects with visual instructions. The forehead temperature was measured before and after the assembly task using a thermal camera system (FLIR-ThermaCam-SC3000). The local maximum forehead temperature was determined using the ThermaCAM-RP software. A two-way rmANOVA (α= 0.05) with factors time (tpre and tpost) and medium (Tablet, HoloLens, MagicLeap) was carried out. RESULTSWorking with three media resulted in the following changes of forehead temperatures (mean and SD): Tablet: (34.95±0.52)°C to (34.41±0.81)°C, HoloLens: (34.95±0.45)°C to (34.67±0.58)°C and MagicLeap: (35.02±0.50)°C to (35.53±0.48)°C. The two-way rmANOVA revealed a statistically significant interaction between medium and time at temperature (p<0.01). The effect of medium was significant at tpost (p<0.001). The post-hoc tests showed significant differences at time tpost between MagicLeap and HoloLens (p<0.05) and between MagicLeap and tablet (p < 0.05). The effect of timing was significant for MagicLeap between tpre and tpost (p <0.05).CONCLUSIONOur findings revealed that assembling component models using smart glasses might increase the local maximum forehead temperature of the user. The differences between the smart glasses support the view that any type of smart glasses models must be thoroughly tested before using it for assembly tasks. The influence of data glasses on temperature during prolonged work should be clarified with future studies.REFERENCES(1)Glockner, Jannek, Mahn, Mahn, & Theis, 2014(2) Berkemeier, Werning, Zobel, Ickerott, & Thomas, 2017
Keywords: Human-Computer-Interaction, Smart-Glasses, Human-Health
DOI: 10.54941/ahfe1001022
Cite this paper
More from this volume
- Modeling of the laminating machine based on ergonomic studies for the manufacture of marzipan handicrafts
- Cognitive Model for Probability Density Distribution Uncertainty Visualization
- Designing and Evaluating of an iPad-based Reading Mode for Enhancing the Efficiency of Non-native Immersive Reading
- Layout Evaluation of Luban Banner Interface Elements Based on Aesthetic Calculation
- Design of Point Pop-ups with Visual Representation based on Weather Map Interface
- Naturality and non-transparency of technology in the age of intelligent voice assistants
- Hybrid Sensory Surfaces: Biological meets Digital
- Design of Smart Household Beauty Apparatus Targeting the Young Consumers
- Smartphone based accurate touch operations on an AR desktop
- The near (bio)future in design
- Translating the creative process of knitwear design: from manual to digital practices in a material-driven approach
- HOYO – Shape Memory Alloys enable a new way to approach the treatment of the Autism Spectrum Disorder


AHFE Open Access