We care about you: Incorporating pet characteristics with educational agents through reciprocal caring approach

Although different educational agents have been proposed to facilitate student learning, most of them operate from a “smart” (i.e., intelligent and autonomous) perspective. Recently, a so-called “non-smart” perspective is also attracting increasing interest, and is now regarded as a topic worthwhile of researching. To this end, this study utilizes a reciprocal caring approach for the development of a pet-styled educational agent, named My-Pet, designed to help elementary school students learn Chinese idioms. The effects of the reciprocal caring approach are evaluated in two experiments. The results indicate that the My-Pet system could enhance students' relationship with educational agents, but do not contribute to students' learning achievement and efficiency. Based on these results, some implications on the value aspect of motivation and reflections on the further design of educational agents are discussed.     

Designing educational software with students through collaborative design games: The We!Design&Play framework

In this paper, we present a framework for the development of collaborative design games that can be employed in participatory design sessions with students for the design of educational applications. The framework is inspired by idea generation theory and the design games literature, and guides the development of board games which, through the use of adequate stimuli, rules and props, facilitate students in extracting and expressing their needs, desires and prospects regarding future educational software. To evaluate the proposed framework three studies were conducted. The first study aimed at the design of a web learning platform with the participation of 62 undergraduate higher education students in 13 design sessions; in the second study, a structured design approach was employed (12 sessions, 54 students) with the same design objective for comparison reasons; in the third study, the framework was deployed for the design of an electronic assessment application so as to examine its applicability in different learning domains (8 design sessions, 28 students). Students were very positive regarding both their participation and experience with the design games, and the needs elicited. The games favored a quick, broad exploration of the design space and facilitated the elicitation of numerous diverse needs and ideas, almost twice as many as produced by the structured approach. They also facilitated the creation of an informal atmosphere and limited the effects of common social influences on idea generation, such as social loafing, evaluation apprehension and production blocking. The three studies indicated that the proposed framework may simplify the development and employment of effective and efficient participatory design sessions in educational settings.     

Evaluating the trustworthiness of advice about seller agents in e-marketplaces: A personalized approach

In this paper, we present a model for evaluating the trustworthiness of advice about seller agents in electronic marketplaces. In particular, we propose a novel personalized approach for effectively handling unfair ratings of sellers provided to buyer agents from other buyers (called advisors). Our approach offers flexibility for buyers to weight their value for private and public knowledge about advisors. A personalized approach is proposed as well for buyers to model the trustworthiness of sellers, based on the advice provided. Experimental results demonstrate that our approach can effectively model trustworthiness for both advisors and sellers, even when there are large numbers of unfair ratings.     

Incremental learning of collaborative classifier agents with new class acquisition: An incremental genetic algorithm approach

A number of soft computing approaches such as neural networks, evolutionary algorithms, and fuzzy logic have been widely used for classifier agents to adaptively evolve solutions on classification problems. However, most work in the literature focuses on the learning ability of the individual classifier agent. This article explores incremental, collaborative learning in a multiagent environment. We use the genetic algorithm (GA) and incremental GA (IGA) as the main techniques to evolve the rule set for classification and apply new class acquisition as a typical example to illustrate the incremental, collaborative learning capability of classifier agents. Benchmark data sets are used to evaluate proposed approaches. The results show that GA and IGA can be used successfully for collaborative learning among classifier agents. © 2003 Wiley Periodicals, Inc.     

Improvising through the senses: a performance approach with the indirect use of technology

This article explores and proposes new ways of performing in a technology-mediated environment. We present a case study that examines feedback loop relationships between a dancer and a pianist. Rather than using data from sensor technologies to directly control and affect musical parameters, we captured data from a dancer’s arm movements and mapped them onto a bespoke device that stimulates the pianist’s tactile sense through vibrations. The pianist identifies and interprets the tactile sensory experience, with his improvised performance responding to the changes in haptic information received. Our system presents a new way of technology-mediated performer interaction through tactile feedback channels, enabling the user to establish new creative pathways. We present a classification of vibrotactile interaction as means of communication, and we conclude how users experience multi-point vibrotactile feedback as one holistic experience rather than a collection of discrete feedback points.     

Combining bundle search with buyer coalition formation in electronic markets: A distributed approach through explicit negotiation

In electronic markets, both bundle search and buyer coalition formation are profitable purchasing strategies for buyers who need to buy small amount of goods and have no or limited bargaining power. In this paper, we present a distributed mechanism that allows buyers to use both purchasing strategies. The mechanism includes a heuristic bundle search algorithm and a distributed coalition formation scheme, which is based on an explicit negotiation protocol with low communication cost. The resulting coalitions are stable in the core in terms of coalition rationality. The simulation results show that this mechanism is very efficient. The resulting cost to buyers is close to the optimal cost.     

Videotext technology: an overview with special reference to transaction processing as an interactive service or Everything you never wanted to know about text on TV and were terrified that someone would tell you

Abstract

This paper presents a comprehensive overview of videotext technology with specific reference to transaction processing. Transaction processing is taken to include: banking, shopping, ticket booking and the downline loading of software. The overview characterizes the interactive transaction services offered by videotext systems. First, the hardware aspects of delivery of the information are considered including broadcast delivery and telephone and cable network delivery. Second, the software aspects of the construction of the information are discussed, including character and graphics (picture) generation. Last, the interactive services offered on videotext systems are reviewed, including transaction modes, dialogue types, task elements and user classification. Conclusions are drawn with respect to the suitability of videotext systems for different modes of transaction processing.     

Videotext technology: an overview with special reference to transaction processing as an interactive service or Everything you never wanted to know about text on TV and were terrified that someone would tell you

This paper presents a comprehensive overview of videotext technology with specific reference to transaction processing. Transaction processing is taken to include: banking, shopping, ticket booking and the downline loading of software. The overview characterizes the interactive transaction services offered by videotext systems. First, the hardware aspects of delivery of the information are considered including broadcast delivery and telephone and cable network delivery. Second, the software aspects of the construction of the information are discussed, including character and graphics (picture) generation. Last, the interactive services offered on videotext systems are reviewed, including transaction modes, dialogue types, task elements and user classification. Conclusions are drawn with respect to the suitability of videotext systems for different modes of transaction processing.     

General and specific formalization approach for a Balanced Scorecard: An expert system with application in health care

The Balanced Scorecard (BSC) presents the essentials of strategic and performance management in clear, straightforward manner which is also usable in health care. If a BSC for a clinical department is an agreement, the first question to consider is the method by which it can be ascertained whether a strategy has been accomplished. There are many different techniques like AHP (analytic hierarchy process) and fuzzy systems to calculate indices.However, how does a formalized mathematical groundwork looks like that integrates current approaches and is still general enough to incorporate future expert systems with applications?The purpose of this paper is the formalization of BSC evaluation by respecting current research. The formalized expert system was implemented in an information system for health care management.     

The clustering-based case-based reasoning for imbalanced business failure prediction: a hybrid approach through integrating unsupervised process with supervised process

Case-based reasoning (CBR) is one of the main forecasting methods in business forecasting, which performs well in prediction and holds the ability of giving explanations for the results. In business failure prediction (BFP), the number of failed enterprises is relatively small, compared with the number of non-failed ones. However, the loss is huge when an enterprise fails. Therefore, it is necessary to develop methods (trained on imbalanced samples) which forecast well for this small proportion of failed enterprises and performs accurately on total accuracy meanwhile. Commonly used methods constructed on the assumption of balanced samples do not perform well in predicting minority samples on imbalanced samples consisting of the minority/failed enterprises and the majority/non-failed ones. This article develops a new method called clustering-based CBR (CBCBR), which integrates clustering analysis, an unsupervised process, with CBR, a supervised process, to enhance the efficiency of retrieving information from both minority and majority in CBR. In CBCBR, various case classes are firstly generated through hierarchical clustering inside stored experienced cases, and class centres are calculated out by integrating cases information in the same clustered class. When predicting the label of a target case, its nearest clustered case class is firstly retrieved by ranking similarities between the target case and each clustered case class centre. Then, nearest neighbours of the target case in the determined clustered case class are retrieved. Finally, labels of the nearest experienced cases are used in prediction. In the empirical experiment with two imbalanced samples from China, the performance of CBCBR was compared with the classical CBR, a support vector machine, a logistic regression and a multi-variant discriminate analysis. The results show that compared with the other four methods, CBCBR performed significantly better in terms of sensitivity for identifying the minority samples and generated high total accuracy meanwhile. The proposed approach makes CBR useful in imbalanced forecasting.