A selection from Stockholm University publication database

• Aligning artificial intelligence with human values

  2021. Shengnan Han (et al.). AI & Society

  Article

  Artificial Intelligence (AI) must be directed at humane ends. The development of AI has produced great uncertainties of ensuring AI alignment with human values (AI value alignment) through AI operations from design to use. For the purposes of addressing this problem, we adopt the phenomenological theories of material values and technological mediation to be that beginning step. In this paper, we first discuss the AI value alignment from the relevant AI studies. Second, we briefly present what are material values and technological mediation and reflect on the AI value alignment through the lenses of these theories. We conclude that a set of finite human values can be defined and adapted to the stable life tasks that AI systems will be called upon to accomplish. The AI value alignment can also be fostered between designers and users through technological mediation. Upon that foundation, we propose a set of common principles to understand the AI value alignment through phenomenological theories. This paper contributes the unique knowledge of phenomenological theories to the discourse on AI alignment with human values.

  Read more about Aligning artificial intelligence with human values

• Reflections on artificial intelligence alignment with human values

  2020. Shengnan Han (et al.). Proceedings of the 28th European Conference on Information Systems (ECIS)

  Conference

  The need for a systematic approach to work with artificial intelligence (AI) is current and rapidly growing. It is important that Information Systems researchers get ahead of public sentiment and be able to provide proactive commentary about the current state-of-the-art, as well as solutions for future systems. One critical question is how can we ensure value alignment between AI and human values through AI operations from design to use? For the purposes of this discussion, we adopt the phenomenological theories of material values and technological mediation to be that beginning step. In this paper, we firstly analyze the AI phenomenon from selected resources from the top IS research outlets (basket of 8 journals and 5 AI journals in IS). Secondly, we briefly present what are material values and technological mediation and reflect on the AI value alignment principle through the lenses of these theories. Supported by these new understandings and reflections, we propose to build a common principle of human values to understand the AI value alignment principle through phenomenological theories. The paper contributes the unique aspect of material values to the discourse within current AI research.

  Read more about Reflections on artificial intelligence alignment with human values

• A Review of Subjective Values and Their Implications for Green IS Research

  2019. Andreas Paulsson, Shengnan Han, Eric-Oluf Svee. ICIS 2019

  Conference

  Green Information Systems (IS) are defined in terms of certain sustainability-related characteristics. Sustainability itself is a concept based on subjective values and value judgments, which are political, value-laden, and context-dependent. However, Green IS literature does not provide a sufficient understanding of such subjective values nor their treatment. Also, value-judgments for Green IS have hardly been considered. We adapt material value-ethics to expose the fundamentals of subjective values. Reviewing and synthesizing work in which subjective values and value judgments have been explicitly considered in sustainability decision-making, we improve our understanding of their use and formalization. Finally, we discuss our findings through the lens of material-value ethics, and offer reflective arguments towards clarifying the role of values in Green IS. The paper contributes to a deeper understanding of subjective values and subjective value judgments for sustainability, along with their critical and significant implications for Green IS research.

  Read more about A Review of Subjective Values and Their Implications for Green IS Research

• Utilizing User Values to Generate System Requirements for a Geographically-dispersed Workforce

  2019. Eric-Oluf Svee. Towards a Design Science for Information Systems

  Conference

  A geographically-dispersed user base presents challenges for requirements engineering in enterprise systems, with problems including limited access to end users, a lack of trust between users and developers, and poor informal communication. Not only must these standard organizational and personnel difficulties be taken into consideration, but geographic dispersal also complicates the steps of the requirements engineering process. This paper investigates whether a method can be created to develop requirements for just such geographically-distributed outposts within the same organization. A psychological instrument that measures basic values was coupled with individual interviews to collect the value profiles for frontline security guards throughout Sweden. The results were used to generate requirements for field equipment, with goal- and feature models generated as a final result.

  Read more about Utilizing User Values to Generate System Requirements for a Geographically-dispersed Workforce

• A Model-based Approach for Capturing Consumer Preferences from Crowdsources

  2016. Eric-Oluf Svee, Jelena Zdravkovic. IEEE RCIS 2016, 65-76

  Conference

  Consumer choices are enormously influential in the success of the companies and organizations behind the highly competitive global service and product offerings of today. Consumer choice relates to preference, i.e. a set of assumptions a person creates around a service or a product such as convenience, utility or aesthetics. Furthermore, consumer preferences allow ranking of different assumptions about products or services based on the expected or to-be-experienced satisfaction of consuming them. In our previous work, we proposed a conceptualization of consumer preferences—the Consumer Preference Meta-Model (CPMM)—to enable a classification and ranking of the preferences that would be the basis for deciding which of would be considered to be developed into supporting information systems/services. In this study we collect consumer preferences through crowdsourcing, and in particular Twitter, because of its increasing popularity as a source of up-to-date comments and information about current services and products. The tweets of four major American airlines were processed using different techniques from natural language processing (NLP) that enabled the classification of their objectives, content, and importance within CPMM. By next mapping the highest-ranked results from CPMM to goal models enabled a model-based linkage from a corpus of preferences contained within short texts to high-level requirements for system/services.

  Read more about A Model-based Approach for Capturing Consumer Preferences from Crowdsources

• A Semi-Automated Method for Capturing Consumer Preferences for System Requirements

  2016. Vu Nguyen, Eric-Oluf Svee, Jelena Zdravkovic. The Practice of Enterprise Modeling, 117-132

  Conference

  There is a pressing need in the modern business environment for business-supporting software products to address countless consumers’ desires, where customer orientation is a key success factor. Consumer preference is thus an essential input for the requirements elicitation process of public-facing enterprise systems. Previous studies in this area have proposed a process to capture and translate consumer preferences into system-related goals using the Consumer Preference Meta-Model (CPMM) used to integrate consumer values from the marketing domain into objectives of information systems. However, there exists a knowledge gap between how this process can be automated at a large scale, when massive data sources, such as social media data, are used as inputs for the process. To address this problem, a case in which social media data related to four major US airlines is collected from Twitter, is analyzed by a set of text mining techniques and hosted in a consumer preference model, and is further translated to goal models in the ADOxx modelling platform. The analysis of experimental results revealed that the collection, recognition, model creation, and mapping of consumer preferences can be fully or partly automated. The result of this study is a semi-automated method for capturing and filtering consumer preferences as goals for system development, a method which significantly increases the efficiency of large-scale consumer data processing.

  Read more about A Semi-Automated Method for Capturing Consumer Preferences for System Requirements

• Utilizing Consumer Preferences to Promote Values Awareness in Information Systems Development

  2016. Eric Oluf Svee.

  Thesis (Doc)

  The challenges of developing the information systems (IS) that support modern enterprises are becoming less about engineering and more about people. Many of the technical issues of the past, such as hardware size and power, connectivity, and robust software, are engineering problems that have largely been solved. In the next stage of computing, the human factor will be far more important than it has been in the past: the colors of an interface or the shape of an icon are the engineering problems of the past, and the availability and usefulness of such basic solutions is rapidly coming to a close. A new paradigm is needed that provides a roadmap of higher level conceptions and values, one about humane computing.

  A part of this older, mechanistic approach are quantitative, economic values whose impact on IS are readily visible and acknowledged within software engineering. However, qualitative values, and in particular consumer preferences, have been researched to a lesser degree, and there has been very little direct application.  To create the next-generation information systems, requirements engineers and systems developers need new methods to capture the real preferences of consumers, conceptualize these abstract concepts, and then relate such preferences to concrete requirements for information systems.

  To address this problem, this thesis establishes a conceptual link between the preferences of consumers and system requirements by accommodating the variations between them and expressing them via a conceptual model. Modeling such preferences and values so that they can be used as requirements for IS development is the primary contribution of this work. This is accomplished via a design science research paradigm to support the creation of the works’ primary artifact—the Consumer Preference-aware Meta-Model (CPMM).

  CPMM is intended to improve the alignment between business and information systems by capturing and concretizing the real preferences of consumers and then expressing such preferences via the requirements engineering process, with the eventual output being information systems. CPMM’s development relies on theoretical research contributions within three areas in information systems—Business Strategy, Enterprise Architecture, and Requirements Engineering—whose relationships to consumer values have been under-researched and under-applied.

  The case studies included in this thesis each demonstrate the significance of consumer preferences to each of these three areas.  In the first, a set of logical mappings between CPMM and a common approach to business strategy (strategy maps/balanced scorecards) is produced. In the second, CPMM provides the conceptual undergirding to process a massive amount of unstructured consumer-generated text to generate system requirements for the airline industry. In the concluding case, an investigation of foreign and domestic students at Swedish universities is structured through CPMM, one that first discovers the requirements for a consumer preference-based online education and then produces feature models for such a software product line-based system. The significance of CPMM as a lens for discovering new concepts and highlighting important information within consumer preference data is clearly seen, and the usefulness of the meta-model is demonstrated by its broad and beneficial applicability within information systems practice and research.

  Read more about Utilizing Consumer Preferences to Promote Values Awareness in Information Systems Development

• Capturing consumer preferences as requirements for software product lines

  2015. Jelena Zdravkovic, Eric-Oluf Svee, Constantinos Giannoulis. Requirements Engineering 20 (1), 71-90

  Article

  Delivering great consumer experiences in competitive market conditions requires software vendors to move away from traditional modes of thinking to an outside- in perspective, one that shifts their business to becoming consumer-centric. Requirements engineers operating in these conditions thus need new means to both capture real preferences of consumers and then relate them to requirements for software customized in different ways to fit anyone. Additionally, because system development models require inputs that are more concrete than abstract, the indistinct values of consumers need to be classified and formalized. To address this challenge, this study aims to establish a conceptual link between preferences of consumers and system requirements, using software product line (SPL) as a means for systematically accommodating the variations within the preferences. The novelty of this study is a conceptual model of consumer preference, which integrates generic value frameworks from both psychology and marketing, and a method for its transformation to requirements for SPL using a goal-oriented RE framework as the mediator. The presented artifacts are grounded in an empirical study related to the development of a system for online education.

  Read more about Capturing consumer preferences as requirements for software product lines

• Case-based Development of Consumer Preferences Using Brand Personality and Values Co-creation

  2015. Eric-Oluf Svee, Jelena Zdravkovic. The Practice of Enterprise Modeling, 159-173

  Conference

  Consumers have preferences whose determination is outside the realm of economic rules and values. To be successful in current market conditions, product and service companies need to capture such preferences to provide best-fit support by their Information Systems (IS), sometimes by developing entirely new features. In our previous work, we have conceptualized a metamodel for incorporating consumer preferences into the development of IS —Consumer Preference Meta-Model (CPMM). This artifact was developed with the ability to be expanded with new kinds of consumer preferences, as well as their related concepts. Building upon that work, in this study we consider methodological usage of CPMM for the case of Asker’s Brand Personality as the primary value framework. The framework brings both the enterprise and the consumer into dialog, with this values co-creation fostering synchronicity between the information systems that are designed as an outgrowth of this process, and the desires of both the consumers and the businesses that they will support. The case example uses the Twitter feed of a major airline, whose tweets are processed using Aaker’s 5-factors and Kano’s quality framework. The results complete an instantiation of CPMM that generates a feature model reflective of both brand personality and values co-creation.

  Read more about Case-based Development of Consumer Preferences Using Brand Personality and Values Co-creation

• Extending Enterprise Architectures to Capture Consumer Values

  2015. Eric-Oluf Svee, Jelena Zdravkovic. Advanced Information Systems Engineering Workshops, 221-232

  Conference

  This paper explores how to make Enterprise Architecture (EA) aware of consumer values. Current proposals in enterprise modeling recognize the need for user needs, although often without taking explicit account of the consumer values that are at the root of the exchange process. Enterprise architecture provides a roadmap for the development of systems that can support the creation and delivery of products of interest. First, a survey of enterprise architecture practitioners highlights the importance and significance of integrating consumer values into enterprise architecture through. Next, the survey results are used to enhance a consumer value meta-model for better integration with enterprise architecture, specifically The Open Group Architecture Framework (TOGAF).

  Read more about Extending Enterprise Architectures to Capture Consumer Values

• Towards a Consumer Preference-Based Taxonomy for Information Systems Development

  2015. Eric-Oluf Svee, Jelena Zdravkovic. Perspectives in Business Informatics Research, 213-227

  Conference

  A fundamental problem in many disciplines is the classification of objects within a domain of interest. This struggle is willingly undertaken to accrue the benefits of a shared vocabulary, with the concomitant reduction in complexity allowing for easier study of complex domains. Taxonomies are one such type of controlled vocabulary, and their development within information systems has moved from the ad hoc towards more standardized methods. However, the consumer preferences that catalyze and drive the development of many such systems have been little explored within information science research. This study presents a solution for this deficiency: a taxonomy structure of consumer preferences, based on extendible concepts derived from economic theory, marketing and psychology, and developed extending a known/generic taxonomy development method. A use case from the higher education domain—a platform for online education—has been used to demonstrate the efficacy of the proposed solution.

  Read more about Towards a Consumer Preference-Based Taxonomy for Information Systems Development

• iStar Instruction in Mixed Student Cohort Environments

  2015. Eric-Oluf Svee, Jelena Zdravkovic. iStar Teaching Workshop, 19-24

  Conference

  Read more about iStar Instruction in Mixed Student Cohort Environments

• Explorations in Values Awareness

  2014. Eric-Oluf Svee.

  Thesis (Lic)

  The need for complex software to coordinate the activities of modern enterprises has become a necessity for their success. As business sectors are rapidly reshaped, organizations become global, and consumers have a seemingly endless degree of choice, these competitive conditions require software engineers to incorporate consumer values—personal judgments based on comparative, preferential experiences—into the design of such supporting software.

  Traditional modes of thinking, whose primary focus was often on economic value, are being left behind, as consumers are requiring more qualitative experiences than ever before. And while the impact of quantitative values on IT is readily seen and acknowledged within software engineering, such qualitative values, and in particular consumer values, have been researched to a lesser degree. To foster greater alignment between business and its supporting IT infrastructure, requirements engineers operating under such conditions need new means to both capture real preferences of consumers and then relate such preferences to requirements for next-generation software. 

  To address this problem, this thesis establishes a conceptual link between the preferences of consumers and system requirements by systematically accommodating the variations between them. It accomplishes this by following a design science research paradigm to support the development of the works' primary artifact—the Consumer Preference-aware Meta-Model (CPMM).

  CPMM is designed to improve alignment between business and IT by both capturing the real preferences of consumers and then relating such preferences to the requirements engineering process. It relies on research contributions within three areas in information systems—Business Strategy, Enterprise Architecture, and Requirements Engineering—whose relationships to consumer values have been under-researched and under-applied. These support the design and development of CPMM and its relevance to the problem area. The benefits it provides towards solving the problem are then exemplified in three demonstrations: via logical mappings between CPMM and a common approach to business strategy (strategy maps/balanced scorecards); the application of CPMM to generate requirements for a Patient Health Record (PHR) system; and an empirical study of the development of a consumer preference-based system for online education for foreign and domestic students at Swedish universities.

  Read more about Explorations in Values Awareness

• Using Intentional Modeling to Discover the User Preferences in Existing Software Systems

  2014. Eric-Oluf Svee, Jelena Zdravkovic. Proceedings of the 7th International i* Workshop (iStar 2014), Thessaloniki, Greece, June 16-17, 2014

  Conference

  Information systems consist of many low-level components, such as source code, functioning together as a unified whole. However, higher-level requirements, such as the preferences of users concerning quality intentions of the system, are often under-documented, if documented at all. Consequently it can be highly important to elicit the intentions underlying the system for driving or justifying system acceptance in a certain business context. This paper utilizes intentional modeling to discover just such user preferences in existing software systems, in this case a system for managing of the student thesis process in a Swedish university. To accomplish this, stepwise guidelines are proposed for evaluating what user preferences an extant software system expresses. These are presented in a feature model, which is then mapped to the software systems goals, which are themselves represented in i*.

  Read more about Using Intentional Modeling to Discover the User Preferences in Existing Software Systems

• Capturing Consumer Preference in System Requirements Through Business Strategy

  2013. Constantinos Giannoulis, Eric-Oluf Svee, Jelena Zdravkovic. International Journal of Information System Modeling and Design 4 (4), 1-26

  Article

  A core concern within Business-IT alignment is coordinating strategic initiatives and plans with Information Systems (IS). Substantial work has been done on linking strategy to requirements for IS development, but it has usually been focused on the core value exchanges offered by the business, and thus overlooking other aspects that influence the implementation of strategy. One of these, consumer preferences, has been proven to influence the successful provisioning of the business's customer value proposition, and this study aims to establish a conceptual link between both strategy and consumer preferences to system requirements. The core contention is that reflecting consumer preferences through business strategy in system requirements allows for the development of aligned systems, and therefore systems that better support a consumer orientation. The contribution of this paper is an approach to establish such alignment, with this being accomplished through the proposal of a consumer preference meta-model mapped to a business strategy meta-model further linked to a system requirements technique. The validity of this proposal is demonstrated through a case study carried out within an institution of higher education in Sweden.

  Read more about Capturing Consumer Preference in System Requirements Through Business Strategy

• Capturing and Representing Values for Requirements of Personal Health Records

  2013. Eric-Oluf Svee, Maria Kvist, Sumithra Velupillai. PoEM Short Papers, 166-175

  Conference

  Patients’ access to their medical records in the form of Personal Health Records (PHRs) is a central part of the ongoing shift in health policy, where patient empowerment is in focus. A survey was conducted to gauge the stakeholder requirements of patients in regards to functionality requests in PHRs. Models from goal-oriented requirements engineering were created to express the values and preferences held by patients in regards to PHRs from this survey. The present study concludes that patient values can be extracted from survey data, allowing the incorporation of values in the common workflow of requirements engineering without extensive reworking.

  Read more about Capturing and Representing Values for Requirements of Personal Health Records

• Knowing your population

  2013. Pedro Sanches (et al.). Network and Communication Technologies 2 (1), 34-51

  Article

  Location and mobility patterns of individuals are important to environmental planning, societal resilience, public health, and a host of commercial applications. Mining telecommunication traffic and transactions data for such purposes is controversial, in particular raising issues of privacy. However, our hypothesis is that privacy-sensitive uses are possible and often beneficial enough to warrant considerable research and development efforts. Our work contends that peoples’ behavior can yield patterns of both significant commercial, and research, value. For such purposes, methods and algorithms for mining telecommunication data to extract commonly used routes and locations, articulated through time-geographical constructs, are described in a case study within the area of transportation planning and analysis. From the outset, these were designed to balance the privacy of subscribers and the added value of mobility patterns derived from their mobile communication traffic and transactions data. Our work directly contrasts the current, commonly held notion that value can only be added to services by directly monitoring the behavior of individuals, such as in current attempts at location-based services. We position our work within relevant legal frameworks for privacy and data protection, and show that our methods comply with such requirements and also follow best-practices.

  Read more about Knowing your population

• Using i* to Capture Consumer Preferences as Requirements for Software Product Lines

  2013. Jelena Zdravkovic, Constantinos Giannoulis, Eric-Oluf Svee. iStar 20136th International i* Workshop, 97-102

  Conference

  The need for software to fit to diversity of numerous consumers has become a norm. Furthermore, technology innovations stimulate the growth of such software, thus making it even more available and appealing to consumers. Although how economic values relate and influence IT systems is an area that has been addressed, it is not clear whether and how consumer values do so. To address this challenge, this study aims to using i* establish a link between preferences of consumers and system requirements for Software Product Line (SPL) as a seamless way for systematically realizing variations. The presented results are grounded in an empirical study related to the development of a system for Online Education.

  Read more about Using i* to Capture Consumer Preferences as Requirements for Software Product Lines

• Consumer Value-aware Enterprise Architecture

  2012. Eric-Oluf Svee, Jelena Zdravkovic, Constantinos Giannoulis. Software Business, 55-69

  Conference

  To improve the alignment between business and IT, this paper explores how to make Enterprise Architecture (EA) aware of consumer values. Current proposals in enterprise modeling recognize the need for modeling user needs, or values. However they do not classify them nor do they provide means to obtain them. In our study, these are first introduced as basic values captured via Schwartz’s Value Survey, a cross-culturally applicable tool from the world of psychology, which are mapped onto Holbrook’s Typology of Consumer Values. Additionally, because formal models require inputs that are more concrete than abstract, and through this proposal, the indistinct values of consumers can be transformed and formalized to be incorporated into enterprise architecture, represented here by ISO/IEC 42010. The novelty of this work is found in the method for operationalizing consumer values for their alignment and utilization within information systems.

  Read more about Consumer Value-aware Enterprise Architecture

• Towards Consumer Preference-Aware Requirements

  2012. Eric-Oluf Svee, Constantinos Giannoulis, Jelena Zdravkovic. Advanced Information Systems Engineering Workshops, 531-542

  Conference

  From the business perspective, one of the core concerns within Business-IT alignment is coordinating strategic initiatives and plans with Information Systems (IS). However, while substantial work has been done on linking strategy to requirements for IS development, it has usually been focused on the core value exchanges offered by the business, overlooking other aspects influencing the implementation of strategy. One of these, consumer preferences, has been proven to influence the successful provisioning of the business’s customer value proposition, and this study aims to establish a conceptual link between them and system requirements. The core contention is that reflecting consumer preferences through business strategy in system requirements allows for the development of systems aligned to consumer preferences, and therefore systems that better support a consumer orientation, where the reasoning behind a particular solution stems from them. The contribution of this paper is the proposal of a consumer preference meta-model along with an illustration of its relationship to a requirements’ technique (i*) through the Strategy Maps business strategy formulation.

  Read more about Towards Consumer Preference-Aware Requirements

• Modeling Business Strategy: a Consumer Value Perspective

  2011. Eric-Oluf Svee, Constantinos Giannoulis, Jelena Zdravkovic. IFIP Working Conference, Practice of Enterprise Modeling

  Conference

  Business strategy lays out the plan of an enterprise to achieve its vision by providing value to its customers. Typically, business strategy focuses on economic value and its relevant exchanges with customers and does not directly address consumer values. However, consumer values drive customers’ choices and decisions to use a product or service, and therefore should have a direct impact on business strategy. This paper explores whether and how consumer values influence business strategy, and how they might be linked to IS solutions that support the implementation of such strategies. To address these questions, the study maps consumer values to a business strategy approach via a meta-model commonly used for such purposes, based on strategy maps and balanced scorecards (SMBSC). Additionally, the applicability of the mappings is illustrated via a case scenario where the mappings are applied and the business strategy conceptualization captures them. Finally, based on these mappings, high level guidelines for linking consumer values to requirements for the development of IS solutions through business strategy conceptualization are proposed.

  Read more about Modeling Business Strategy: a Consumer Value Perspective

• Collecting and Associating Data

  2010. Markus Bylund, Eric-Oluf Svee, Pedro Sanches.

  The present invention relates to a method and system for collecting human migration data into a database, comprising the steps of receiving information regarding the spatial movement, here called a path, or stationary position, here called a station, of a mobile device in a communication network, from the same communication network, and associating information or a sequence of information that represents a path or a station, here called a signal, with previously collected specific information regarding an individual associated with the mobile device. The inventive method specifically comprises the steps of de-identifying the information by deleting all information that can uniquely identify the mobile device or the individual from the signal and from the specific information, and storing the signal together with the specific information in the database, the signal and personal information thus being associated with each other and stored without any information that can uniquely identify the mobile device or the individual.

  Read more about Collecting and Associating Data

• Semantic Enhancements when Designing a BOM-based Conceptual Model Repository

  2010. Eric-Oluf Svee, Jelena Zdravkovic, Vahid Mojtahed. 2010 International Simulation Multi-Conference

  Conference

  The Defence Conceptual Modeling Framework (DCMF) is the Swedish Defence Research Agency’s (FOI) proposal for conceptual modeling in the military domain. DCMF enables the conceptualization, composition, visualization, and reuse of knowledge for modeling and simulation. To achieve these aims, DCMF requires that its final products—conceptual models expressed as Base Object Models (BOMs)—-are embedded with semantics. In this study, this is accomplished by formalizing them through the use of an ontology. These semantically enriched models are better able to achieve key requirements of DCMF, mainly conceptualization and reuse of knowledge. Such requirements are crucial when conceptual models are stored for later use in a repository.

  Read more about Semantic Enhancements when Designing a BOM-based Conceptual Model Repository

• Time Geography Rediscovered: A Common Language for Location-Oriented Services

  2009. Eric-Oluf Svee, Pedro Sanches, Bylund Markus. LocWeb

  Conference

  We propose that the concepts of Time Geography be evaluated as a framework for use within location-oriented services. Originally conceived as a system to describe patterns in human migration, Time Geography is ideally suited for providing the common language and concepts necessary for dialogue within this evolving area. Location-oriented services have been the focus of a great deal of attention, but with research occurring in many disparate disciplines, the lack of a common model that can conceptualize these ideas has not received appropriate attention. To demonstrate its applicability within location-oriented services, we present a research activity which makes explicit use of concepts from Time Geography, with the hope that it can be seen as a tractable and practical solution for several difficulties facing this fast growing area of interest.

  Read more about Time Geography Rediscovered: A Common Language for Location-Oriented Services

Show all publications by Eric Svee at Stockholm University