Believable electronic trading environments on the Web

Contemporary Web-based electronic markets reflect the dominating content-based systems approach of Web 2.0. Though useful, these electronic markets are far from being believable trading places. Marketplace is where things and traders have presence, constituting a rich interaction space. The believability of the place depends on the believability of the presence and interactions in it, including the players behaviour and the narrative scenarios of the marketplace. This paper discusses what constitutes the believability of electronic marketplaces and presents the technologies that support it. Believability of electronic marketplaces can be described through three metaphors: marketplaces where people are, marketplaces that are alive and engaging, and market places where information is valuable and useful. The paper presents the core technologies that enable the perceivable believability of electronic marketplaces. It describes a demonstrable prototype of a Web-based electronic marketplace that integrates these technologies. This is part of a larger project that aims to make informed automated trading an enjoyable reality of Web 3.0

A model for providing emotion awareness and feedback using fuzzy logic in online learning

Monitoring users’ emotive states and using that information for providing feedback and scaffolding is crucial. In the learning context, emotions can be used to increase students’ attention as well as to improve memory and reasoning. In this context, tutors should be prepared to create affective learning situations and encourage collaborative knowledge construction as well as identify those students’ feelings which hinder learning process. In this paper, we propose a novel approach to label affective behavior in educational discourse based on fuzzy logic, which enables a human or virtual tutor to capture students’ emotions, make students aware of their own emotions, assess these emotions and provide appropriate affective feedback. To that end, we propose a fuzzy classifier that provides a priori qualitative assessment and fuzzy qualifiers bound to the amounts such as few, regular and many assigned by an affective dictionary to every word. The advantage of the statistical approach is to reduce the classical pollution problem of training and analyzing the scenario using the same dataset. Our approach has been tested in a real online learning environment and proved to have a very positive influence on students’ learning performance.Peer ReviewedPostprint (author's final draft

On Making Good Games - Using Player Virtue Ethics and Gameplay Design Patterns to Identify Generally Desirable Gameplay Features

This paper uses a framework of player virtues to perform a theoretical exploration of what is required to make a game good. The choice of player virtues is based upon the view that games can be seen as implements, and that these are good if they support an intended use, and the intended use of games is to support people to be good players. A collection of gameplay design patterns, identified through their relation to the virtues, is presented to provide specific starting points for considering design options for this type of good games. 24 patterns are identified supporting the virtues, including RISK/REWARD, DYNAMIC ALLIANCES, GAME MASTERS, and PLAYER DECIDED RESULTS, as are 7 countering three or more virtues, including ANALYSIS PARALYSIS, EARLY ELIMINATION, and GRINDING. The paper concludes by identifying limitations of the approach as well as by showing how it can be applied using other views of what are preferable features in games

On Making Good Games - Using Player Virtue Ethics and Gameplay Design Patterns to Identify Generally Desirable Gameplay Features

This paper uses a framework of player virtues to perform a theoretical exploration of what is required to make a game good. The choice of player virtues is based upon the view that games can be seen as implements, and that these are good if they support an intended use, and the intended use of games is to support people to be good players. A collection of gameplay design patterns, identified through their relation to the virtues, is presented to provide specific starting points for considering design options for this type of good games. 24 patterns are identified supporting the virtues, including RISK/REWARD, DYNAMIC ALLIANCES, GAME MASTERS, and PLAYER DECIDED RESULTS, as are 7 countering three or more virtues, including ANALYSIS PARALYSIS, EARLY ELIMINATION, and GRINDING. The paper concludes by identifying limitations of the approach as well as by showing how it can be applied using other views of what are preferable features in games

Exploring Information Disclosure In Online Auctions

This research examines how a seller’s reputation score and auction pre-configuration affects people’s participation in communication within online auction communities. A leading horizontal intermediary auction platform is used to conduct this research. Its seller “feedback” mechanism and “ask seller a question” forum are chosen as representatives of post- and intra-transactional information disclosure. A self-developed classification approach is used to classify the buyer-initiated questions. The results of multinomial logistic regression indicate that product quality, shipment and payment issues are aspects that concern buyers the most in the early stages of an auction. Subsequently, their attention is likely to shift to seller credibility and price negotiations as listing durations get longer. In terms of the influ- ence of seller feedback ratings, our findings suggest that lower-rated traders are more likely to be asked questions about product description and seller credibility. Buyer concern about seller uncertainty is only alleviated if the seller has a good reputation. Even medium-rated sellers are suspected of being opportunistic. Moreover, buyers are more willing to discuss transaction-related issues and raise negotiation-associated questions with sellers who have already achieved high reputation scores. Finally, the theoretical and managerial implications are elaborated

Roleplaying and Rituals For Cultural Heritage-Orientated Games

Roles and rituals are essential for creating, situating and maintaining cultural practices. Computer Role-Playing games (CRPGs) and virtual online worlds that appear to simulate different cultures are well known and highly popular. So it might appear that the roles and rituals of traditional cultures are easily ported to computer games. However, I contend that the meaning behind worlds, rituals and roles are not fully explored in these digital games and virtual worlds and that more work needs to be done to create more moving rituals, role enrichment and worldfulness. I will provide examples from The Elder Scrolls IV: Oblivion and The Elder Scrolls V: Skyrim (Bethesda, 2006, 2011) to reveal some of the difficulties in creating digitally simulated social and cultural worlds, but I will also suggest some design ideas that could improve them in terms of cultural presence and social presence

E-marketing Tools for Food Businesses Amidst Covid-19 Pandemic: Advantages and Challenges

Many businesses are interested in searching for the latest technologies to secure the tie with existing customers and to prevent potential customers from abandoning their businesses during the COVID-19 pandemic. The food industry is one of them. Therefore, this review article is an attempt to identify various e-marketing tools adopted in the business world in the pre-covid era and to underpin their applicability in the food industry in the covid era by highlighting the advantages and challenges of their adoption. Research articles, conference proceedings, book chapters, theses, and dissertations regarding the topic of applications of e-marketing published from 2000 to 2019 available in the google scholar database, were considered in the review. The final search of the literature was carried out in February 2020. The study reveals that the benefits of applying e-marketing tools in food businesses could compensate for the pitfalls of adopting them. Authors suggest that the ability to compare prices of similar products from different sellers as the most promising benefit of e-marketing, from the customer perspective. Similarly, the cost-effectiveness experienced by food suppliers compared to traditional marketing, makes the e-marketing concept attractive, for food businesses. This work discovers the ability and the inclination of people to launch, manage and organize business ventures with e-marketing approaches in the present as well as the future world.

Empirical Findings On Persuasiveness Of Recommender Systems For Customer Decision Support In Electronic Commerce

More and more companies are making online presence by opening online stores and providing customers with company and products information but the overwhelming amount of information also creates information overload for the customers. Customers feel frustrated when given too many choices while companies face the problem of turning browsers into actual buyers. Online recommender systems have been adopted to facilitate customer product search and provide personalized recommendation in the market place. The study will compare the persuasiveness of different online recommender systems and the factors influencing customer preferences. Review of the literature does show that online recommender systems provide customers with more choices, less effort, and better accuracy. Recommender systems using different technologies have been compared for their accuracy and effectiveness. Studies have also compared online recommender systems with human recommendations 4 and recommendations from expert systems. The focus of the comparison in this study is on the recommender systems using different methods to solicit product preference and develop recommendation message. Different from the technology adoption and acceptance models, the persuasive theory used in the study is a new perspective to look at the end user issues in information systems. This study will also evaluate the impact of product complexity and product involvement on recommendation persuasiveness. The goal of the research is to explore whether there are differences in the persuasiveness of recommendation given by different recommender systems as well as the underlying reasons for the differences. Results of this research may help online store designers and ecommerce participants in selecting online recommender systems so as to improve their products target and advertisement efficiency and effectiveness