Неопубликованные виды ругоз В. А. Желтоноговой из отложений девона Салаира

Даются монографические описания видов девонских ругоз Салаира из коллекции В.А. Желтоноговой, которая при жизни не успела их опубликовать. Автором наряду с описанием видов была произведена ревизия их родового состава. Представленные виды ругоз публикуются впервые

Towards Conversational Co-Creation of Learning Content in Digital Higher Education

Today formal education like higher education relies on digital learning content like learning videos or quizzes. Using such online learning material enables students to learn independently from time and place. While improvements have been made, there are still many issues as the two-year long crisis in 2020 has revealed. Many offerings do not consider the learners’ needs and can result in unsuccessful learning. One way to address these short comings is to actively include learners in the creation process of learning content. However, co-creation oftentimes relies on face to face and or group settings that may not be possible for all students at all times. Therefore, we undertake a long-term action design research project to investigate the novel concept of conversational co-creation of learning material using a conversational agent and persuasive design to engage and motivate learners. In this article we present an early-stage prototype and concept of conversational co-creation

Virtual 3D City Model Support for Energy Demand Simulations on City Level – The CityGML Energy Extension

Due to the transition from fossil energy carriers to more renewable energy resources, the availability of energy in future will be fluctuating. Under these conditions, an accurate energy demand simulation for buildings is strongly needed as planning instrument on district or city level. This paper introduces a new data model for the energy relevant properties of buildings. It extends the existing standard CityGML for 3D city models by energy relevant properties like, e.g., physical materials, thermal zones and thermal boundaries, and building occupant's behaviour. The energy extension of CityGML is designed as system-independent interface to energy simulation systems and shall support detailed simulation on the level of single buildings as well as energy demand assessments on district and city level

Thermal Energy Simulation of Buildings based on the CityGML Energy Application Domain Extension

The present paper describes a semi-automatic process, in which a typical CityGML 3D building model is enriched with explicit thermal energy related information and stored in a CityGML Application Domain Extension (ADE). Special emphasis is given to the discussion of suitability of existing CityGML models for city-wide energy simulations. Possible conflicts between the requirements of urban energy simulation systems, the capabilities of the CityGML Energy ADE and the available data are presented, which can be partly resolved by specific geometric / semantic corrections of the model data. For testing and evaluating the approach, interfaces for two building energy simulation systems have been developed

Can you help me scale? A Systematic Analysis of Scaling Capabilities of Conversational Agents for Digital Services

Today’s servitized and digitalized society has significant implications for the economical system as value creation increasingly shifts towards digital services. Driven by different factors, service providers have been enabled to scale up their businesses. One of these factors is artificial intelligence, which enabled many novel technological artifacts like conversational agents (CA). These human-like AI-driven artifacts open new possibilities and channels for service providers to create value, or to scale up their business even further. However, while we witness the results of that everyday, what do we really know about scalability of services and the role of CAs therein? Therefore, we conduct an analysis of service research and popular CAs to determine the status quo and highlight opportunities for scaling services with CAs. We contribute to theory by clarifying the meaning of scalability in combination with CAs and support practitioners by providing an overview about how companies successfully scale their CAs

How to Achieve Ethical Persuasive Design: A Review and Theoretical Propositions for Information Systems

Persuasive system design (PSD) is an umbrella term for designs in information systems (IS) that can influence people’s attitude, behavior, or decision making for better or for worse. On the one hand, PSD can improve users’ engagement and motivation to change their attitude, behavior, or decision making in a favorable way, which can help them achieve a desired outcome and, thus, improve their wellbeing. On the other hand, PSD misuse can lead to unethical and undesirable outcomes, such as disclosing unnecessary information or agreeing to terms that do not favor users, which, in turn, can negatively impact their wellbeing. These powerful persuasive designs can involve concepts such as gamification, gamblification, and digital nudging, which all have become prominent in recent years and have been implemented successfully across different sectors, such as education, e-health, e-governance, e-finance, and digital privacy contexts. However, such persuasive influence on individuals raises ethical questions as PSD can impair users’ autonomy or persuade them towards a third party’s goals and, hence, lead to unethical decision-making processes and outcomes. In human-computer interaction, recent advances in artificial intelligence have made this topic particularly significant. These novel technologies allow one to influence the decisions that users make, to gather data, and to profile and persuade users into unethical outcomes. These unethical outcomes can lead to psychological and emotional damage to users. To understand the role that ethics play in persuasive system design, we conducted an exhaustive systematic literature analysis and 20 interviews to overview ethical considerations for persuasive system design. Furthermore, we derive potential propositions for more ethical PSD and shed light on potential research gaps

Level-Up your Learning – Introducing a Framework for Gamified Educational Conversational Agents

Driven by circumstances like the global pandemic many learners and educators realize the importance and value of self-regulated digital learning. To better support self-regulated learning, conversational agents have become more relevant. Conversational agents can act as tutor or as learning mate for learners. Although conversational agents have potential to better support self-regulated learning processes, challenges exist requiring implications about how to make these interactions more engaging and supportive. This study discusses the value of gamified conversational learning chatbots that use game elements to engage learners to guide researchers and practitioners to design conversational agents that effectively motivate learners and provide self-regulated learning at the same time. Therefore, we propose a systematically developed framework for gamifying educational conversational agents and contribute to theory by consolidating several theories about games, digital learning, and conversational agents and support practitioners by providing implications about what to care about when gamifying conversational agents