Vesna Kirandziska. Faculty of Computer Science, Engineering Researcher, “Rugjer Boshkovikj”, Skopje Researcher, Macedonia. Researcher

Human – computer interaction is a vast area of research that targets two very different groups of subjects: the humans as a biology originated group, and the machines – as human made products. One specific part of this interaction is the human – robot interaction. This paper discusses the challenges that arise in the human – robot interaction. Special accent is put on creating social robots, in particular on creating more human-like empathic robots. Here a concept for creating such robots is proposed, where data from human-human interaction is used for feature selection. As an example of the stated concept a robot has been added the ability to perceive human emotions. In this research the robot uses human sound data as source for perceiving human emotions. Additionally, a biologically driven custom algorithm is used in this research for emotion evaluation classification. The proposed approach is analyzed and evaluated using experimental results done from rea l data. Also, the influence of the emotion aware robots on humans is explained in more detail. At the end, a discussion about the importance of sharing life with these emotion aware robots today and in the future is argued.

Alexander Streicher. Fraunhofer IOSB, Fraunhoferstr., Karlsruhe, Germany. Daniel Szentes. Fraunhofer IOSB. Wolfgang Roller. Fraunhofer IOSB.

We describe our concept and implementation of a mobile scenario assistant which helps with the automatic configuration of complex systems for demonstration scenarios. Presenting features of complex systems often requires profound expert knowledge which is more than often not available when needed ad-hoc on the spot. A solution approach is to create a machine readable model which can be used by assistance systems to help with the complicated setup and operation. The contribution of this work is the concept and implementation details of the mobile, distributed scenario assistant SCENAS. It is an assistance system to automatically configure components of a complex, heterogeneous system for its use in training and demonstration scenarios. The presented modeling approach of complex systems comprises state machine and standardized data flow principles with focus on feasible adaptability. Mobile devices are used as graphical user inte rfaces for “scenario remote control” and as mobile information broker s. The application is shown in a complex, heterogeneous system for image exploitation.

Umair Azfar Khan. Graduate School of Information Science, Electrical Engineering, Kyushu Researcher

Role-Playing Games (RPGs) provide the user with a story where the decisions taken by the user move the story forward. Apart from the user, there are many Non-Playable Characters (NPCs) in the games that provide coherence to the overall story. These characters however have limited choices and functionality and always behave the same way in a game. The actions performed by the NPCs are never unexpected and we do not receive an emotional response from the NPCs. The authors propose a system where every character has some specific objectives and to achieve those objectives the character formulates a plan and acts on it accordin g to its defined ethical orientation. Once the plan has been created, there is a possibility that the character might behave emotionally to that plan based on its orientation. As a result, the user gets a dynamic system where every character has the possib ility of influencing a change which is governed by the mental makeup of the characters.

Joachim Staib, Marcel Spehr, Stefan Gumhold, Chair of Computer Graphics, TU Researcher

The non -negative matrix factorization provides a valuab le tool for the analysis of positive data by representing it as an additive linear superposition of a small number of non-negative basis elements. This property allows the base elements to be interpreted in the same domain as the input data . The problem though lies in the ambiguity of equally valid solutions from which only one is obtained. Its selection depends on the initialization of the applied factorization algorithm or further constraints. We propose a new approach which is based on sampling the set of valid factorizations, given one initial solution. First we derive a parameterization of the set of valid solutions by means of a strong membership oracle. This function returns true if a parameter tuple represents a valid solution and false otherwise. Furthermore, we present an algorithm that explores and samples part s of the non -convex solution set. To assist the otherwise automatic process and to alleviate the drawbacks of sampling a non- convex space, we provide a graphical user interface that put s the user in the loop. From an initial set of samples the user is allowed to select elements that serve as the starting point for subsequent samplings. With this browser -like tool a steering of the sampling of the NMF can be performed without further knowledge on the underlying algorithm and without the need to express possibly hard to formulate constraints. An evaluation of the sampling procedure reveals promising results for a factorization of data in up to 4 basis elements.

Isabel Maria Lopes, Instituto Politécnico de Bragança, Portugal Filipe de Sá-Soares, Centro ALGORITMI, Departamento de Sistemas de Informação, Universidade Researcher

Information systems security policies are pointed out in literature as one of the main controls to be applied by organizations for protecting their information systems. Despite this, it has been observed that, in several sectors of activity, the number of organizations having adopted that control is low. This study aimed to identify the factors which condition the adoption of information systems security policies by organizations. Methodologically, the study involved interviewing the officials in charge of information systems in 44 Town Councils in Portugal. The factors facilitating and inhibiting the adoption of information systems security policies are presented and discussed. Based on these factors, a set of recommendations to enhance the adoption of information systems security policies is proposed. The study used Institutional Theory as a theoretical framework.

Richard Monette. Carleton University, 1125 Colonel By Drive, Ottawa Researcher, ON Researcher, CANADA Researcher, K1S 5B

In order for computer generated imagery to recreate the characteristic visual appearance of phenomena such as smoke and fog it is necessary to compute the way in which light interacts with participating media. In this work we present a novel technique for computing volumetric single scattering lighting solutions for particle -based inhomogeneous participating media data sets. We seek to calculate volumetric lighting solutions for particle -based data sets as such data sets have the advantage of being spatially unbounded and relatively unrestricted with regard to memory as compared to uniform grids. In order to perform the calculations which are required for computing such a lighting solution, we introduce a novel octree based data structure. We refer to this new data structure as a density octree. The design of the density octree allows for efficiently computing light attenuation throughout the spatial extent. Using our data structure, we are able to produce high quality output imagery of arbitrary particle data sets in the presence of arbitrary numbers of lights.

Kristinn R. Thórisson. Reykjavik University / CADIA, Icelandic Institute for Intelligent Machines.

This peer-reviewed paper presents original scientific research in computer science and information systems, addressing "Autonomous Acquisition of Natural Situated Communication". The authors discuss theoretical foundations, system architectures, empirical evaluations, and practical implications for modern digital ecosystems. Published in IJCSIS Vol. 9 No. 2 (2014).

Matthias Lederer

Nowadays, the alignment of business processes to corporate strategy is an important success factor. However, especially implemented business processes do not sufficiently incorporate business objectives. Process managers are facing the challenge on how to optimize already established workflows in organizations based on strategic goals. This contribution proposes a new modeling approach that links business objectives with flow objects of business pr ocesses in a combined Strategy Process Matrix. Three basic optimization rules are derived to give process owners concrete recommendations for action s to increase the strategy achievement of pro cesses. This transparent optimization approach is evaluated as a case study in customer support of a manufacturing company from Switzerland and demonstrates its benefits.

D- Winterhausen., http://www.ibis-thome.com. Researcher

Empirical data based on actual system use is in very short supply. How many transactions do ERP system users execute? In which business processes do most users still pl ay an active role? Answers to these questions are provided in the analysis of 77 user organizations, the subject of this publication. For the first time, these questions can be answered objectively, based on data collected with system-based analyses of liv e post -implementation SAP systems . The analyses examined activities of over 253,000 users and the data was extracted using RBE Plus, a reverse business engineering tool. Areas of intense usage and user types have been identified objectively, and the findin gs pinpoint specific sub -processes that reveal potential for improvement.

Luís Santos, Institute of Systems, Robotics Researcher, University of Coimbra, Pinhal de Marrocos – Polo II

This peer-reviewed paper presents original scientific research in computer science and information systems, addressing "Development Strategy of an Architecture for E-health Personalised Service Robots". The authors discuss theoretical foundations, system architectures, empirical evaluations, and practical implications for modern digital ecosystems. Published in IJCSIS Vol. 9 No. 2 (2014).

Dóra Őri. Department of Information Systems, Corvinus University of Budapest. Budapest, Hungary. Researcher

Business–IT alignment and misalignment are duality -like concepts refer ring to the harmony or disharmony between business and IT. The state between these two areas can be viewed either through its presence (a.k.a. alignment) or through its absence or difficulties (a.k.a. misalignment). Most of alignment studies deal with alig nment achievement, while misalignment issues (detecting, analysing and correcting misalignment) are underemphasized in the literature. This paper relates to misalignment assessment. It connects misalignment analysis to enterprise architecture models with t he aim to set up an enterprise architecture-based (mis)alignment assessment method. The paper first introduces the primary building blocks of architecture -based misalignment analysis. Based on the theoretical foundation the paper aims to establish the conc eptual body of enterprise architecture -based misalignment symptom analysis . Different misalignment symptoms are located on TOGAF metamodel in order to detect the presence of misalignment. At the end of the paper conclusions are drawn concerning the symptom-location experiment.

Pedro Isaías

Editorial preface for Volume 9, Issue 2 of the IADIS International Journal on Computer Science and Information Systems (IJCSIS). This issue brings together peer-reviewed original research contributions covering the wide spectrum of Information Systems, Artificial Intelligence, Software Engineering, and Digital Transformation.