On-line Display Research Articles

Understanding Consumer Needs in Relation to Food Hygiene Ratings in an Online Food Ordering Environment

To help ensure there is a robust evidence base for any future proposed legislation requiring the online display of food hygiene ratings, the FSA commissioned Ipsos UK to undertake research among consumers to: 1. Explore specifically where FHRS should be placed online to maximise consumer awareness and use, as well as the best way to present the ratings so that consumers can access meaningful information to make informed choices. 2. Explore where consumers would like to see FHRS ratings displayed online. 3. Explore what consumers think about the current positioning and display of FHRS ratings online, including any misperceptions.

Digital vs. Traditional Advertising and the Recognition of Brand Intangible Assets

This paper examines how different advertising categories are associated with attributes of brand asset recognition arising in the context of acquisitions. Prior research documents that aggregate advertising is positively associated with firm sales and brand values, but it fails to consider major recent shifts in advertising from traditional channels (such as TV) to digital advertising (such as paid search and online display). Using proprietary data, I decompose advertising expenditures into the categories of traditional, online display, and paid search. Consistent with expectations, results confirm that target firms’ traditional and online display advertising exhibit a higher likelihood of brand asset recognition and higher recognized brand values as compared with paid search advertising. Confirming the economic substance of the recognized brands, additional results reveal positive investor equity market reactions to brand value, which are driven by firms investing more in traditional and online display advertising. Overall, these results confirm that certain advertising channels exhibit stronger associations with the recognition and characteristics of the underlying brand asset, consistent with their heterogeneous properties. This paper was accepted by Suraj Srinivasan, accounting. Funding: I acknowledge the financial support from my advisor, Eddie Riedl, as well as from the UNH Paul College of Business and Economics Summer Research Support Award. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.00387 .

The design of a scientific data management system based on DOMAS at CSNS-II (preliminary stage)

At the second stage of China Spallation Neutron Source (CSNS-II), it is predicted that 2 PB raw experimental data will be produced annually from twenty instruments. Scientific computing puts forward higher requirements for data sharing, utilization, retrieval, analysis efficiency, and security. However, the existing data management system (DMS) based on ICAT has several limitations including poor scalability of metadata database, imperfect data-management lifecycle and inflexible API. To ensure the accuracy, usability, scalability and efficiency of CSNS-II experimental data, a new scientific data management system is therefore designed based on the DOMAS framework developed by the Computing Center of IHEP. The data acquisition, transmission, storage and service systems are re-designed and tailored specifically for CSNS-II. Upon its completion, the new DMS will overcome the existing challenges and offer functions such as online display, search functionality and rapid download capabilities for metadata, raw data and analyzed data; flexible and user-friendly authorization; and data lifecycle management. Ultimately, the implementation of the new Data Management System (DMS) is expected to enhance the efficiency of experimental data analysis, propelling CSNS-II to achieve international advanced standards. Furthermore, it aims to reinforce self-reliance and technological strength in the field of science and technology at a high level in China. The development and deployment of the new DMS begin at the end of 2023.

IMPLEMENTASI PENDEKATAN AGILE UNTUK PENGEMBANGAN OLAP DATA PENJUALAN

Sales data in large quantities are difficult to process and report using Microsoft Excel, which takes a long time. The proposed solution is to use Online Analytical Processing, a method that allows for faster decision-making through multidimensional data manipulation. In developing Online Analytical Processing for sales data, an agile approach is applied. With Online Analytical Processing, access to and display of transactional data becomes more efficient, improving analysis quality and supporting management decisions. Research results show that the prototype accelerates sales reports with a response time of 0.0039 seconds. Online Analytical Processing also facilitates decision-making in seconds. User Acceptance Testing results show high software quality and performance (100%), with an overall evaluation of 86,67% categorized as “Very Good”. Keywords: Sales Data, Online Analytical Processing, User Acceptance Testing, Agile Development

Online Auction System with AI

An online auction is type of an auction that takes place over the Internet. It is a popular method for buying and selling products and services. Such systems give the best price to the seller as well as the buyers. The application proposed in this paper was developed with the objective of making the system reliable, easier and fast. Through this application, anyone can sell anything on the website by sitting at home. It’s as easy as browsing the app website. Even non-technical persons can easily interact with the process of buying and selling on the application. An online auction system permits a customer to submit online orders for items and/or services from a store that serves both walk-in customers and online customers. The online auction system presents an online display of an order cut off time and an associated delivery window for items selected by the customer of any 2nd hand products. The online auction system does not settle with a credit supplier of the customer until the item selected by the customer is picked from inventory. Therefore, customers can go online to modify their order. In addition, the service window is presented to the customer as a function of the order and service type selected by the customer, and also the choice is made according to the person's preference, where the order selection is correct. When ordering goods, a virtual shopping cart is also provided by many shopping systems for holding items selected for purchase. Until a customer completes their shopping trip, successive items selected for purchase are placed into the virtual shopping cart. Virtual shopping carts may be examined at any time, and their contents can be deleted and edited at the customer’s end.

Online Joint Assortment and Display Optimization with Uncertain Demand

Online Joint Assortment and Display Optimization with Uncertain Demand

Probing Aesthetics Strategies for Robot Sound: Complexity and Materiality in Movement Sonification

This article presents three studies where we probe aesthetics strategies of sound produced by movement sonification of a Pepper robot by mapping its movements to sound models. We developed two sets of sound models. The first set was made by two sound models, a sawtooth-based one and another based on feedback chains, for investigating how the perception of synthesized robot sounds would depend on their design complexity. We implemented the second set of sound models for probing the “materiality” of sound made by a robot in motion. This set consisted of a sound synthesis based on an engine highlighting the robot’s internal mechanisms, a metallic sound synthesis highlighting the robot’s typical appearance, and a whoosh sound synthesis highlighting the movement. We conducted three studies. The first study explores how the first set of sound models can influence the perception of expressive gestures of a Pepper robot through an online survey. In the second study, we carried out an experiment in a museum installation with a Pepper robot presented in two scenarios: (1) while welcoming patrons into a restaurant and (2) while providing information to visitors in a shopping center. Finally, in the third study, we conducted an online survey with stimuli similar to those used in the second study. Our findings suggest that participants preferred more complex sound models for the sonification of robot movements. Concerning the materiality, participants liked better subtle sounds that blend well with the ambient sound (i.e., less distracting) and soundscapes in which sound sources can be identified. Also, sound preferences varied depending on the context in which participants experienced the robot-generated sounds (e.g., as a live museum installation vs. an online display).

INTEGRATION OF HBIM/GIS TO PRESERVE INFRASTRUCTURE HERITAGE ALONG THE CHINESE EASTERN RAILWAY

Abstract. The infrastructure heritage is the symbol of the highest standard of the technical construction and design methodologies of the Chinese Eastern Railway (CER). As an important component of the cultural heritage of the CER, their conservation hasn’t attracted more attention than the architectural heritage part. However, some heritage infrastructure components have been already demolished while others were threatened by urban expansion and natural degradation during the past hundred years. In this study, we have analysed structural features based on the original drawings and fieldwork for the reconstruction of the vanished and invisible parts of CER. HBIM will be used to support the conservation of the surviving elements. In addition, we collected geographical coordinates of the heritages using on-site GNSS records and Google Earth®. We propose a method to facilitate the preservation of this historical infrastructure by building a database that integrates HBIM and GIS, including information about historical data and the status quo. In this way, this database will not only be useful for planning purposes by the government and the conservation agencies, but also it will benefit the entire society and the public through its online display and information collection.

IQOS Marketing Strategies and Expenditures in the United States From Market Entrance in 2019 to Withdrawal in 2021.

IQOS entered the U.S. market in October 2019, then received the Food and Drug Administration (FDA)'s modified risk tobacco product authorization (MRTPA) allowing use of "reduced exposure" claims in marketing in July 2020. A May 2021 court decision regarding patent infringement required IQOS' removal from the U.S. market in November 2021. Using 2019-2021 Numerator marketing data, this study characterized ad occurrences and expenditures-including allocation per ad content (headline theme, imagery) and media type and channel-pre- and post-MRTPA; exploratory analyses characterized the post-court to withdrawal period separately. The study period entailed 685 occurrences and $15 451 870 in expenditures. The proportions of occurrences across the three periods (pre-MRTPA, post-MRTPA, and post-court) were 39.3%, 48.8%, and 12.0%, respectively (p < .001); the proportions of expenditures were 8.6%, 30.0%, and 61.5%. Overall, 73.1% of ad occurrences were via online display; 99.6% of expenditures occurred in print. Per occurrences, prominent pre-MRTPA headline themes included "future" (40.2%), "real tobacco" (38.7%), "get IQOS" (35.3%), and "innovation or technology" (20.1%); post-MRTPA, prominent themes included "not burned or heat control" (32.7%), "reduced exposure" (26.4%), and "distinct from e-cigarettes" (20.7%). Visuals mainly depicted the product alone (pre-MRTPA: 86.6%; post-MRTPA: 76.1%), but increasingly featured women (pre-MRTPA: 8.6%; post-MRTPA: 21.5%). The most prominent media channel theme pre-MRTPA was "technology" (19.7%), but post-MRTPA included "women's fashion" (20.4%) and "entertainment or pop culture/gaming" (19.0%). IQOS leveraged MRTPA in ads, continued marketing post-court decision, and targeted key consumer groups (ie, women). Marketing surveillance of products granted MRTPA is needed, domestically and in other countries, to assess its use and impact. Philip Morris (PM) leveraged IQOS' MRTPA from the U.S. FDA, and continued marketing IQOS after its withdrawal from the U.S. market due to a patent-infringement-related court decision. Notably, IQOS marketing increasingly targeted key consumer groups (eg, women). Given IQOS' potential return to the United States, PM's use of FDA's MRTPA to promote IQOS as a risk reduction product in other countries, and FDA's MRTPA for other products, it is crucial to monitor products receiving MRTPA, their marketing, and their population impact, domestically and in other countries.

A Study of Metaverse Exhibition Sustainability on the Perspective of the Experience Economy

With the development of information technology, many well-known art museums and galleries have adopted metaverse exhibitions for online display and dissemination of art information, building sustainable ways to participate in and experience art. Users can access the metaverse exhibition platform through the internet and enjoy classic artworks in the virtual space, which has gained many forms of artistic perception and improved physical and mental health. Currently, the factors affecting user use intentions in existing metaverse exhibition studies still need to be clarified and need to be studied in depth. This paper explores the relationship between users’ entertainment experience, educational experience, presence, affective responses, and use intention through a survey of 536 users who had experienced a metaverse exhibition. The research results show that users’ use intentions are influenced by entertainment experiences and educational experiences. Presence mediates between entertainment experiences and educational experiences on use intention. Affective responses play a moderating role between the educational experience and use intention. This study provides a relevant theoretical basis for sustainable urban and socio-economic development from a digital perspective. At the same time, this study enables the metaverse exhibition platform to design and create valuable and healthy artistic content with higher quality. The emotional state of the user’s experience was better attended to so that mental health was enhanced and managed. Furthermore, it also provided a guidance program for the development of educational experience and economic sustainability of the exhibition industry.

Software platform for imaging diagnostic exploitation applied to edge plasma physics and real-time PFC monitoring

In current tokamaks, imaging diagnostics (visible/infrared) have become increasingly used for real-time control of the temperature of the Plasma Facing Components (PFC) and for off-line physical analysis. Developing a full acquisition and control system based on a network of multiple cameras is a complex task requiring advanced software tools. Furthermore, such systems produce a large quantity of data encouraging end users to share tools and codes for data access and analysis.In this paper, we introduce a software platform, named Thermavip, dedicated to these tasks. The main contribution of this software is to gather under the same framework different functionalities for (1) firm real-time video acquisition and PFC monitoring, (2) offline data access and display, (3) signal and video processing applied to plasma physics, (4) video annotation and thermal events database management. This software platform is widely used on the WEST (W Environment in Steady-state Tokamak) tokamak (France) for offline study of infrared (IR) and almost all WEST diagnostics data, and online display of IR videos and temperature time traces for critical components. Thermavip platform is also used on the HADES (High heAt LoaD tESt) facility (France) and the EAST (Experimental Advanced Superconducting Tokamak) tokamak (China) for offline signal analysis, and on the Wendelstein 7-X (W7-X) stellarator (Germany) for the IR diagnostic acquisition, PFC real-time (RT) monitoring, online display and offline video analysis. In addition, Thermavip provides a full featured video annotation tool used on both WEST and W7-X to build and manage thermal events datasets. These annotations are used as input dataset to train deep-learning models, like Region Based Convolutional Neural Networks, for automatic detection and classification of thermal events based on IR movies.The Thermavip framework is composed of a unique C++ Software Development Kit (SDK) providing high-level classes for offline multi-sensor data analysis, firm real-time processing and online visualization of these sensor data. Its strength comes from its unique component block architecture, allowing to build multicore and distributed processing pipelines for both offline and firm real-time applications. Thermavip architecture relies on a versatile plugin mechanism to extend its functionalities using C++ code or Python scripts, facilitating the integration on new machines.

Who Deserves to be Refugee? : The Instrumentalization of Art and Culture in the Solidarity Discourse of Ukrainian Refugees in Social Media

This article explores the online display of artistic ability and cultural practice to express support for the resistance in Ukraine and Ukrainian refugees while blaming the Russian attack on the country starting in 2022. Social media engagement is essential in constructing discursive traits of belonging through bottom-up articulations of ‘us’ and ‘them’ dichotomies. Here, I question the distinguished characteristics of representation related to art, artistic practices, and abilities under solidarity social media posts in the case of Ukrainians fleeing their homes. Social media users who include art and culture concerning solidarity use a discourse of inclusion and exclusion to depict refugees as parts of civilization and hence not reducible them to the bare life position. This study is guided by critical multimodal discourse analysis. I contend that these social media posts that convey specific art and culture-related representations serve to distinguish characteristics of war-torn Ukraine, people displacement, and Ukrainian refugees from the generic tendencies of otherization reflected on the ‘Southern’ refugee figure deprived of capability or motivation for logos.

A Remote Monitoring and Maintenance System for Industrial Robots

Technologies such as external sensors, data acquisition, trend analysis, and cloud services make remote operation and maintenance of equipment status monitoring more convenient and lower maintenance costs. In this paper, an industrial robot operation and maintenance system is designed. First, the online monitoring of the robot is realized by collecting the control parameters, state parameters, fault information and external sensor monitoring information of the industrial robot. Then, the health baseline of the industrial robot is established based on the historical operation data. The online data is compared with the baseline data to realize the online assessment of the robot’s health status. Finally, a visualization platform for remote operation and maintenance of the robot is built to realize the online display of parameters, health trend tracking and fault status early warning, which is convenient for maintenance personnel to take timely countermeasures.

Research on flight control system hardware in the loop simulation system based on NI hardware platform for Unmanned Aerial Vehicle

HIL(Hardware in the loop) simulation of UAV(Unmanned Aerial Vehicle) plays an important role in flight control sysrtem development and algorithm verification. Taking the open source flight control system Pixhawk as the research object, this paper establishes a HIL system based on NI(National Instrument) hardware platform. The dynamic model and kinematic model are modeled through Simulink, the online management of simulation model is realized through Veristand, and the online display of model parameters and fault injection are realized through Labview. The simulation system can test the functional performance, reliability and safety of flight control system. The simulation results show that the simulation platform works reliably and has good real-time performance. It can effectively and reliably carry out the HIL of flight control system for UAV.

Cannabidiol Marketing Strategies in the United States: An Analysis of Three Prominent Companies.

Introduction: The popularity and market for cannabidiol (CBD) products have expanded. Materials and Methods: Using Numerator advertising data from 2017 to 2021 regarding three popular CBD companies in the United States (Charlotte's Web, Green Roads, Medterra), we examined (1) general advertising characteristics (e.g., media channel, year); (2) ad content (i.e., themes of headlines and imagery); (3) themes of prominent sources (i.e., specific websites, magazines, etc.); and (4) ad expenditures. Results: Across companies during the study timeframe, there were 475 unique ads (i.e., unique content), 4767 ad occurrences, and $1,471,944 total expenditures. Charlotte's Web accounted for the greatest proportion of unique ads, ad occurrences, and expenditures (53.3%, 62.8%, and 70.3%, respectively), followed by Medterra (40.4%, 33.9%, and 28.5%) and Green Roads (6.3%, 3.3%, and 1.2%). The largest proportion of occurrences and expenditures were via online display (83.5%, 54.8%), followed by mobile (15.9%, 24.8%) and print (0.4%, 20.1%). Per ad occurrences and expenditures, ads prominently featured headline themes focused on brand/trust/quality (27.5%, 18.3%, respectively), wellness (17.5%, 17.7%), pain/sport (9.9%, 20.0%), and promotions (13.2%, 11.6%), in addition to visual themes of the product itself (74.3%, 78.5%) or with women (5.3%, 10.0%). The most prominent source themes were focused on health/wellness (21.0% of ad occurrences, 18.1% of expenditures), followed by other websites and search engines (18.3%, 11.2%), news/weather (12.9%, 21.3%), and entertainment/lifestyle/culture (12.6%, 28.0%). Despite some distinctions between companies, ad and source themes were similar. Conclusions: Regulatory efforts must be informed by ongoing surveillance of CBD marketing and how specific consumer subgroups are impacted by marketing exposure.

E-cigarette Marketing Expenditures in the United States From 2016 to 2021: Targeted Media Outlets Geared Toward People Who Are at Increased Risk for Tobacco Use.

E-cigarette advertising exposure is linked to e-cigarette initiation and use. Thus, monitoring trends in e-cigarette advertising practices is important to understand e-cigarette use patterns observed over recent years. E-cigarette advertising expenditures (January 2016-July 2021; Numerator Ad Intel) for 154 U.S. market areas were harmonized with U.S. Census sociodemographic data through Nielsen zip code designations by market area. Descriptive statistics and multivariable linear regressions were used to examine trends in e-cigarette advertising expenditures across media outlets and associations between sociodemographic characteristics and e-cigarette advertising over time. E-cigarette advertising expenditures peaked in 2018/2019, followed by a sharp decline in 2020. Expenditures were concentrated primarily on print (58.9%), TV (20.6%), and radio (14.4%). Major print outlets were Sports Illustrated, Rolling Stone, and Star magazines. Top TV channels were AMC, Investigation Discovery, and TBS. TV advertisements were purchased commonly during popular movies and TV series (eg King of Queens, Everybody Loves Raymond, The Walking Dead). Higher expenditures were associated with U.S. market areas that had (1) a larger percentage of non-rural zip codes (radio), (2) smaller male populations (radio), and (3) larger White or Caucasian, Black or African American, American Indian or Alaska Native, Asian, and Other or Multiracial populations (radio, print, online display, and online video). E-cigarette companies advertised in print magazines geared toward males and youth and young adults, radio commercials focused in urban areas with smaller male populations, and nationwide TV commercials. Declines in e-cigarette advertising expenditures in 2020 demonstrate the potential impact that federal policies may have on protecting populations who are at higher risk for tobacco use from predatory advertising practices. E-cigarette advertising exposure is associated with the initiation and use of e-cigarettes. This study shows how e-cigarette marketing expenditures in the United States may have targeted specific consumers (eg youth and young adults) between 2016 and 2021. The precipitous drop in advertising expenditures across all outlets during early 2020 corresponds with the implementation of the Tobacco 21 federal policy, the federal enforcement policy to remove most unauthorized flavored e-cigarette cartridges from the U.S. market, preparations for FDA's premarket review of e-cigarette products, and the decision by several TV broadcast companies to stop showing e-cigarette ads. The potential impact of federal policies may have far-reaching implications for protecting populations who are at high risk for tobacco use and its health consequences.

Nicotine pouch marketing strategies in the USA: an analysis of Zyn, On! and Velo

IntroductionNicotine pouches are gaining popularity, yet their marketing is understudied.MethodsUsing Numerator advertising data from January 2019 to September 2021 regarding three popular brands of nicotine pouch in the USA—Zyn (by...

The Effect of Incidental Prices in Online Display Ads on Consumer Internal Reference Price

ABSTRACT The main objective of this research is to investigate how price information in online display advertisements affects the consumer’s internal reference price (IRP). The internet context differs from prior pricing research contexts in which consumers allocate all or none of their conscious attention to price stimuli. In this context, consumers allocate some of their attention to ads, but they do so incidentally. Across four studies, we show that these incidental exposures to price information in online ads influence the IRP. The results suggest that the price magnitude used in the online ad (either low or high) determines the price anchoring mechanism at play. The price magnitude in conjunction with ad repetition and ad type (price comparing ad vs. single price ad) also affect the consumer’s IRP. By uncovering these effects in online display advertising, this research contributes to pricing and online advertising research and provides specific insights for online marketers.

‘Sustainable’ Recording and Preservation of Zangniang Stupa and Sangzhou Lamasery in Qinghai, China with Heritage Building Information Model

This paper research and discusses the ‘sustainable’ workflow and heritage recording method of historic building information modelling (HBIM) for Chinese Tibetan architecture and pagodas and explains the vital role of recording heritage information to protect cultural relics. Considering the Tibetan Buddhist Pagoda in Yushu, Qinghai, China, this paper explores the collaborative modelling mechanism and ideas between heritage surveying and scanning information and software, and the problems of these two methods. Through research, we have obtained successful cases of HBIM based on field scanning and mapping, online software collaborative modelling (Rhino, Bentley, Autodesk Computer-Aided Design), sustainable management, and display. It is an information model constructed according to construction logic and accurate information and one that realises sustainable and full-cycle recording functions by continuous recording, updating, and iterating. This method removes a limitation of HBIM in that it considers one-time information construction and delivery mode but does not consider and explore sustainable recording work. It will significantly promote more records on the heritage information of Tibetan architecture. The results will also directly serve the protection of architectural heritage in Qinghai Province, China and the ‘Silk Road (South Asia Section) Transnational Serial Application for World Heritage’ work.

Context Information Can Increase Revenue in Online Display Advertising Auctions: Evidence from a Policy Change

Ad exchanges, where real-time auctions for display ad impressions take place, have historically emphasized user targeting, and advertisers sometimes did not know on which sites their ads would appear; in other words, they had no ad context. More recently, some ad exchanges have been encouraging publishers to provide context information to ad buyers that would allow them to adjust their bids for ads at specific sites. This article explores the empirical effect of a change in context information provided by a private European ad exchange. Analyzing this as a quasi-experiment using difference in differences, the authors find that average revenue per impression rose when the exchange provided subdomain information to ad buyers. Thus, ad context information is important to ad buyers, and they will act on it. Revenue per impression rises for nearly all sites, which is what auction theory predicts will happen when rational buyers with heterogeneous preferences are given more information. Exceptions are sites with thin markets prior to the policy change; consistent with theory, these sites do not show a rise in prices. This study adds evidence that ad exchanges with reputable publishers, particularly smaller volume, high-quality sites, should provide ad buyers with context information, which can be done at almost no cost.