Personality-based versus Task-based Factors as Indicators for Personalised Learning Environments

Personalised learning aims to improve learning outcomes by adhering to personal needs of learners. The research question of this paper is to discuss how such personal needs can be defined to inform the design of a tool to support personalisation of learning methods in learner-centred personalised learning environments. Therefore two approaches, i.e. the analysis of personality-based factors and task-based factors as indicators of personal needs, are discussed regarding their adequacy. We argue that the analysis of task performance based on clearly defined cognitive tasks is the sounder approach. Further steps how to implement and evaluate a proof-of-concept within the domain of electronic negotiation training conclude our argumentation

Inherent Game Characteristics of Electronic Negotiations

Negotiation activities have often been referred to as a game. For example, negotiators dance around each other, play with different strategies, follow rules and protocols, decide on particular moves from a set of alternatives, and try to achieve the ultimate goal of agreement. This paper presents the results of an explorative literature study examining the inherent game characteristics of electronic negotiations. To consider the context of information system explicitly, we analyse e-negotiations conducted in negotiation support systems. Our results reveal among others a strong social interaction element, various levels of difficulties and challenges, different activity choices that may lead to the same goal and continual feedback during these activities. With respect to current IS trends such as serious games and gamification, these identified game characteristics may serve as a basis for a gamified negotiation support system

Facilitating the housing bargaining with the help of the bargaining decision support system

More than 90 percent home buyers today rely on the Internet as one of their primary research sources and real estate related searches continually grows. Internet helps buyers to find and select bigger number of right homes for sale in a shorter time, so provides more alternatives for bargaining. The bargaining is an inseparable part of the home buying and selling process. However, housing bargaining mostly is conducted face-to face, so there is a growing need for facilitating the housing bargaining and conducting such bargaining on the Web with the help of the systems. The article describes the developed Real-Time Housing Multiple Criteria Bargaining Decision Support System, based on multiple-criteria mathematical methods, which helps to improve the efficiency of bargaining through the following functions: search for housing alternatives; formulation of the initial comparative table of alternatives; multiple criteria analysis of housing alternatives and negotiation tactics; determination of the most useful home option for buying; presentation of recommendations and real-time determination of a home's market value; e-bargaining using templates of bargaining e-mails generated by the system

Impact of and interaction between behavioral and economic decision support in electronic negotiations

In this study we compare the effects of two distinct approaches in negotiation support: negotiation analysis providing economic decision support, and mediation analysis offering behavioral decision support. Those negotiators with economic or behavioral decision support at their disposal were expected to reach better results. Furthermore, behavioral decision support would not only lead to more integrative behavior, but also to more satisfaction about process variables. The hypotheses were tested in a laboratory experiment with 224 undergraduate students from four European universities. Contrary to our expectations, economic decision support did not yield better results, but instead increased informal communication, whereas behavioral decision support led to fewer, but larger concessions. Satisfaction of subjects with the negotiation process and outcomes reflects the strength of the support approaches. The implications of these results and the impact of both types of decision support are discussed.15 page(s