An ethnographic analysis of consumer information processing and decision-making at farmers’ markets

Purpose Farmers’ markets have grown rapidly in recent years and at the same time consumers increasingly desire to eat healthfully and sustainably. This research aims to analyze the way consumers process information regarding local food claims such as sustainability and organics when shopping for local foods at farmers’ markets. Design/methodology/approach This research uses ethnographic methods that included interviews with 36 participants, more than 100 hours of participant observation and prolonged engagement over a two and half-year period. Findings The findings indicate that there are two dominant types of consumers at the farmers’ market, hedonistic and utilitarian consumers. Hedonistic consumers rely on heuristic cues such as aesthetics, their relationship with the farmer and other peripheral sources of information when making purchase decisions. Utilitarian consumers, by contrast, carefully analyze marketing messages using central route cues and tend to be more conscious of their purchase choices. Practical implications This study will help farmers more effectively position their marketing messages and help consumers be aware how they process information in this space. Originality/value Unlike previous studies of consumer behavior at farmers’ markets that primarily use survey methods, this study uses observational and ethnographic methods to capture in situ interactions in this complex buying context. Further, while much work has been done on broad concepts of local food and organic preferences, this study provides a more in-depth look at consumer information processing in the farmers’ market space that reflects a mixture of organic and non-organic food.

Student's Perception of Online Learning Due to Covid 19 (Case Study at UNITOMO Vocational School Surabaya)

The rapid development of information technology can answer problems that arise after the Covid-19 pandemic, especially problems in the learning process. Information technology that plays a role in the world of education which is currently booming is online learning. Online learning is different from ordinary learning, online learning places more emphasis on student's ability to receive and process information. Online learning serves as a liaison between teachers and students through the internet network that can be accessed anytime and anywhere. There are various online media used in the learning process including; WhatsApp, Google Meet, Zoom, Classroom, and even e-learning. But among these media, the easiest to use is WhatsApp, which is easily accessible at every level of education. Online learning is now an effective medium for the learning process at all levels. For an effective and optimal online learning process, there are several learning models offered by experts during the Covid-19 pandemic, including; Online Model, Offline Model, Online e-learning Model, Project-Based Learning, and Blended Learning.

COVID-19 impact on UAT postgraduate students

<p>The UAT postgraduate students have had diverse academic and research problems due to the COVID-19 contingency. However, their commitment to comply with requirements is latent, while quickly adapting to the health crisis. The in-person restrictions have forced them to develop self-taught abilities, to look for solutions to research problems and to always stay updated in the use of digital technologies. Remote lessons have been a challenge for students and teachers due to technical problems that limit the efficiency of the teaching-learning process. Information is not passed onto the students and the objectives of the courses are only achieved halfway. Universities and the CONACYT have kept the graduation requirements in due time and form. However, requirements should be modified to be consistent with the severe limitations imposed by remote work, external to institutions. Grant holders have been the most affected.</p>

Technologies for Multimodal Interaction in Extended Reality—A Scoping Review

When designing extended reality (XR) applications, it is important to consider multimodal interaction techniques, which employ several human senses simultaneously. Multimodal interaction can transform how people communicate remotely, practice for tasks, entertain themselves, process information visualizations, and make decisions based on the provided information. This scoping review summarized recent advances in multimodal interaction technologies for head-mounted display-based (HMD) XR systems. Our purpose was to provide a succinct, yet clear, insightful, and structured overview of emerging, underused multimodal technologies beyond standard video and audio for XR interaction, and to find research gaps. The review aimed to help XR practitioners to apply multimodal interaction techniques and interaction researchers to direct future efforts towards relevant issues on multimodal XR. We conclude with our perspective on promising research avenues for multimodal interaction technologies.

Implementasi Metode User Centered Design (Ucd) Pada Pembangunan Sistem Penyediaan Obat Berbasis Android

The rapid development of information technology has an impact on behavior. The system is linked together to facilitate the flow of information, through a variety of androids, users are growing, and are very familiar with this technology is open to providing developers to create an application. User Center Design (UCD) is a design that is used because it presents the best approach if it describes from the initial stages of an interactive process. Information about the provision of medicine is desired without the need to go to his place.

Effect Analysis of Language Education Based on Computer and Network Sensors

Language talent education is an essential education in education, but today’s language talent education needs to be improved because of the influence of teaching methods and other factors. This paper puts forward an idea of sensor-assisted education. The sensor is connected to the computer to help improve the language ability and information acquisition ability of the educated by means of network sensing and try to intelligently classify the relevant languages in language education, so as to reduce the time for the educated to process information, so as to realize the matching between language and reception. At the same time, the research also found that the sensors based on computers and networks have the function of intelligently strengthening the language, and the meaning of expression is simpler and more accurate. By studying the improvement of the effect of language education based on computer and network sensors, this paper provides a reference for the application of network sensors in the future.