The mechanics of trust: a framework for research and design

With an increasing number of technologies supporting transactions over distance and replacing traditional forms of interaction, designing for trust in mediated interactions has become a key concern for researchers in human computer interaction (HCI). While much of this research focuses on increasing users’ trust, we present a framework that shifts the perspective towards factors that support trustworthy behavior. In a second step, we analyze how the presence of these factors can be signalled. We argue that it is essential to take a systemic perspective for enabling well-placed trust and trustworthy behavior in the long term. For our analysis we draw on relevant research from sociology, economics, and psychology, as well as HCI. We identify contextual properties (motivation based on temporal, social, and institutional embeddedness) and the actor's intrinsic properties (ability, and motivation based on internalized norms and benevolence) that form the basis of trustworthy behavior. Our analysis provides a frame of reference for the design of studies on trust in technology-mediated interactions, as well as a guide for identifying trust requirements in design processes. We demonstrate the application of the framework in three scenarios: call centre interactions, B2C e-commerce, and voice-enabled on-line gaming

The Co-Evolution of Trust and Coordination in Global Software Development Teams-An Extensible Evolutionary Game Theory Model

Trust is important for effective coordination in global software development teams. However, the co-evolution of trust and coordination is often neglected. To fill the gap, we develop an evolutionary game theory model. Using the Behavior-Preference-Constraint (BPC) model and Adaptive Play, the model challenges the traditional view of trust as a static “resource” for coordination and proposes an alternative view that trust dynamically restricts people’s action choices in interacting with other team members. Through analyzing the model, we describe how trust and coordination co-evolve in the progress of interactions among team members. We propose three propositions summarizing the long-term characteristics of coordination and trust in the process. For example, the co-existence of low trust and high trust can be a stable state in the long run, which explains why low trust can always exist even when all team members strictly prefer effective coordination

Creative Thinking and Modelling for the Decision Support in Water Management

This paper reviews the state of art in knowledge and preferences elicitation techniques. The purpose of the study was to evaluate various cognitive mapping techniques in order to conclude with the identification of the optimal technique for the NetSyMod methodology. Network Analysis – Creative System Modelling (NetSyMod) methodology has been designed for the improvement of decision support systems (DSS) with respect to the environmental problems. In the paper the difference is made between experts and stakeholders knowledge and preference elicitation methods. The suggested technique is very similar to the Nominal Group Techniques (NGT) with the external representation of the analysed problem by means of the Hodgson Hexagons. The evolving methodology is undergoing tests within several EU-funded projects such as: ITAES, IISIM, NostrumDSS.Creative modelling, Cognitive mapping, Preference elicitation techniques, Decision support

Innovation Policies for Small and Medium Size Enterprises in Asia: An Innovation Systems Perspective

The point of departure for this chapter is that in developing countries SMEs2 are responsible for the largest part of employment and a significant share of added value. And that innovation policy supporting the particularities of SMEs has been widely ignored (occasionally SMEs have even been discriminated). This chapter aims at shedding soe light on the immensely complicated issue of innovation policy for SMEs in developing countries, or more specifically Asian SMEs. The chapter applies the so-called regional innovation systems approach. In this paper, we analyze four clusters of SMEs that have been especially successful in entering the global market; special attention is paid to the so-called soft infrastructure, the industry specific needs for cluster (e.g. interaction) and RIS dynamics/polices (e.g. needs for devolution; industry specific needs for building knowledge creating institutions).The chapter is structured as follows. After introducing stylized facts on SMEs innovative performance attention is turned to the theoretical framework. Taking into account the localized nature of SMEs economic activity, our level of analysis is the regional system of innovation (RIS). We provide a general introduction, contextualize this to Asian situation, and introduce the industry differences (inspired by Pietrobelli and Rabelotti’s typology). Then we turn to the empirical section where special attention is paid to the four cases. Finally, we turn to drawing general conclusions on innovation policies and need for restructuring of Asian innovation systems (the accent is on the former).Innovation Policy; Developing countries; Innovation systems

Ecological determinants of smart home ecosystems: A coopetition framework

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Understanding, creating, and managing complex techno-socio-economic systems: Challenges and perspectives

Abstract.: This contribution reflects on the comments of Peter Allen [1], Bikas K. Chakrabarti [2], Péter Érdi [3], Juval Portugali [4], Sorin Solomon [5], and Stefan Thurner [6] on three White Papers (WP) of the EU Support Action Visioneer (www.visioneer.ethz.ch). These White Papers are entitled "From Social Data Mining to Forecasting Socio-Economic Crises” (WP 1) [7], "From Social Simulation to Integrative System Design” (WP 2) [8], and "How to Create an Innovation Accelerator” (WP 3) [9]. In our reflections, the need and feasibility of a "Knowledge Accelerator” is further substantiated by fundamental considerations and recent events around the globe. newpara The Visioneer White Papers propose research to be carried out that will improve our understanding of complex techno-socio-economic systems and their interaction with the environment. Thereby, they aim to stimulate multi-disciplinary collaborations between ICT, the social sciences, and complexity science. Moreover, they suggest combining the potential of massive real-time data, theoretical models, large-scale computer simulations and participatory online platforms. By doing so, it would become possible to explore various futures and to expand the limits of human imagination when it comes to the assessment of the often counter-intuitive behavior of these complex techno-socio-economic-environmental systems. In this contribution, we also highlight the importance of a pluralistic modeling approach and, in particular, the need for a fruitful interaction between quantitative and qualitative research approaches. newpara In an appendix we briefly summarize the concept of the FuturICT flagship project, which will build on and go beyond the proposals made by the Visioneer White Papers. EU flagships are ambitious multi-disciplinary high-risk projects with a duration of at least 10 years amounting to an envisaged overall budget of 1 billion EUR [10]. The goal of the FuturICT flagship initiative is to understand and manage complex, global, socially interactive systems, with a focus on sustainability and resilienc