Suchergebnisse

Is it possible to look at something without actually noticing it? Is it possible to see something in the picture that is not really there? The answers to these philosophical questions can be obtained by comparing the results of eye-tracking tests combined with interviews based on sociological theories. The answers, however, have more than the philosophical dimension in that they can provide insight into everyday processes of social perception and its application, also for commercial purposes. In the design phase of the present study, we chose a popular advertising folder available for free for the average consumer. While showing the selected photographs to the respondents (all the pictures included people portrayed during everyday activities), we asked them to pay particular attention to the situations presented. Afterwards, each participant took part in a standardised interview. In our view, the conclusions formulated on the basis of the obtained results are relevant not only to the investigated catalogue, but can also be treated as an indicator of how people usually browse through advertisements and what kind of inferences they make about the world on that basis. While most attention should be given to watching the advertisements, we constitute our dreams of a perfect life, environment and the items that furnish it.

Our study aimed to present amateur sports models during the CO VID-19 restrictions on outdoor activities. We used mixed research methods: the questionnaire research data and information available through wearable devices. We investigate physical activity phenomena based on questionnaire results and existing data from a popular social networking site. Firstly, we asked respondents about their training types, rhythm, and preferences in using new technologies (wearables devices and social networks to upload and share results) in individual physical activity practices. Secondly, we also used a collection of over 11 thousand photos of 3138 users, with metadata downloaded from Instagram to compare declarations and content. The obtained data were processed using machine learning and Python software. Analyzing the results, we showed a change in the intensity of practicing three selected types of activity. We also analyzed the data set (photos, tags, and metadata) from a social network. The conclusions show the potential of triangulation of methods and data to describe the amateur physical activity and the change of these practices during CO VID-19 limitations in indoor and outdoor sports.