Teleoperation systems are increasingly used in remote inspection and maintenance, especially in safety-critical settings. This paper presents findings from a lab study examining user interaction with a teleoperation for airport safety inspection. The study investigates five visual interface configurations: First Person View (FPV), Third Person View (TPV), Augmented FPV, FPV+TPV, and Augmented FPV+TPV. Eighteen participants completed inspection tasks under each condition and rated interface helpfulness, workload (NASA-TLX), and simulator sickness. The result was confirmed by bootstrapping with 1000 iterations. Results showed that all view configurations were rated more helpful than TPV alone, with FPV-based combinations improving depth perception and spatial understanding. NASA-TLX revealed cognitive effort, while SSQ scores decreased post-task, particularly in oculomotor symptoms, suggesting adaptation. These findings support continued research into optimising visual interfaces for teleoperation in safety-critical settings.

Remote control technology for machines and robots has experienced significant advancement in many domains where visual information delivery is essential. Safety management at airports is one field that benefits from remote control systems, enabling operators to scan the airstrip for obstacles and debris. Depth perception and proper view position are critical in remote control systems, where operators need to accurately perceive 3D coordinates and maintain an appropriate perspective for performing tasks from a distance. This Demo paper presents a laboratory platform for an experimental study on human interaction with remote control systems using visual interfaces for inspection tasks to enhance airport safety management. The platform can evaluate the user experience of interfaces provided by First Person View, Third Person View, and Augmentation technologies. This platform enables exploration through controlled experiments and by user tests. These provide an avenue for assessing how these interfaces may affect human performance, depth perception, and user experience when conducting inspection tasks remotely. The findings will shed light on the strengths and limitations of each interface type, offering insights into their potential applications in various domains such as industrial inspection, surveillance, and remote exploration.

Digital technology offers multimodal presentation of information, that can be used for translating foreign languages or for alleviating hearing impairment or deafness communication problems. Today, there exists various aids that can be used for speech-to text translations, but there are some challenges with these. One potential solution for this is to make use of a combination of Augmented Reality (AR) and speech-to-text systems, where speech is converted into text that is then presented in AR-glasses. In AR, one crucial problem is the legibility and readability of text under different environmental conditions. Different types of AR glasses have different ergonomic characteristics, which implies that certain glasses might be more suitable for such a system than others. In this investigation, two different AR-glasses were evaluated based on among other things their optical, visual, and ergonomic characteristics. User tests were conducted to evaluate the legibility and readability of text under different environmental contexts. The results indicate that legibility and readability are affected by factors such as ambient illuminance, background properties and how the text is presented with respect to polarity, opacity, size, and number of lines. The characteristics of the glasses impacts the user experience, but which glasses that is preferred depends on the individual.

The perceived interactions, induction and assimilation between colours presented on a computer screen were investigated for seven participants who gave estimates on the perceived colours. A method based on memory estimation was used. In one experiment, a red – green scale was used, while in a second experiment a white – green scale was used. The distance between objects, shape of objects and colour of objects was varied. A distance effect of colour interaction was found in both experiments, but stronger for the red – green scale. For objects adjacent to each other the interaction effects were statistically significant. For objects not adjacent to each other some smaller effects occurred. No shape effects were found. Assimilation effects were shown for the red – green colour combinations. The participants seemed to use their own internal memory scale for their judgements. A theoretical model for distance effects of colour interaction is also presented.

The first impressions of web pages presented to users was investigated by using 13 different web pages, three types of scales and 18 participants. Multidimensional analysis of similarity and preference judgements found four important dimensions: beauty, mostly illustrations versus mostly text, overview and structure. Category scales indicated the existence of two factors related to formal aspects and to appeal of the objects, respectively. The best predictor for the overall judgement of the category scales was beauty. Property vector fitting of the multidimensional solutions with the category scales further indicated the importance of beauty for the preference space. Aspects of usability, product design and aesthetics are discussed.