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EAI Endorsed Transactions on Ambient Systems

Issue 4, 2014
Editor(s)-in-Chief: Silvia Gabrielli and Tiziana Catarci
Guest Editor(s): Stefania Castellani , Silvia Gabrielli , Antti Jylha and Jutta Willamowski

  • Playful Mobility Choices: Motivating informed mobility decision making by applying game mechanics

    Appears in:
    amsys 14(4): e3

    Authors:
    A. Millonig, K. Mitgutsch

    Abstract:
    Motivating people to change their mobility behaviour patterns towards more sustainable forms of mobility is one of the major challenges regarding climate change and quality of life. Recently, an increasing amount of attempts to use gamification for triggering such behavioural changes can be observe…Motivating people to change their mobility behaviour patterns towards more sustainable forms of mobility is one of the major challenges regarding climate change and quality of life. Recently, an increasing amount of attempts to use gamification for triggering such behavioural changes can be observed. However, little is known about the actual impact of using game elements. This contribution describes a concept for systematically analysing the group-specific effects of
    different game mechanics on mobility decision processes (e.g. mode and route choice). Based on theoretical findings concerning player types and mobility styles we developed a framework for identifying effective game mechanics motivating users to explore mobility alternatives and take more informed and more sustainable mode or route choice decisions. The results will form the basis for implementing game mechanics in mobility information services motivating users to explore unfamiliar but more sustainable mobility options.
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  • Towards using Segmentation-based Techniques to Personalize Mobility Behavior Interventions

    Appears in:
    amsys 14(4): e4

    Authors:
    Paula J. Forbes, Silvia Gabrielli, Rosa Maimone, Judith Masthoff, Simon Wells, Antti Jylhä

    Abstract:
    This paper describes our initial work towards a segmentation-based approach to personalized digital behavior change interventions in the domain of sustainable, multi-modal urban transport. Segmentation is a key concept in market research, and within the transport domain, Anable has argued that the…This paper describes our initial work towards a segmentation-based approach to personalized digital behavior change interventions in the domain of sustainable, multi-modal urban transport. Segmentation is a key concept in market research,
    and within the transport domain, Anable has argued that there are segments of travelers that are relatively homogenous in terms of their mobility attitudes and behaviors. We describe an approach aimed at tailoring behavior change notifications
    by using segmentation-based techniques for user profiling. We report results from a Mechanical Turk study in which we obtained a crowd-sourced categorization of motivational messages. This is a first step towards understanding how to better deliver persuasive messages to relevant users profiles and situational contexts in the urban mobility domain. We conclude by discussing future steps of our work that should inform the deployment of persuasion profiling techniques to achieve sustainable mobility goals.
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  • ViaggiaTrento: an application for collaborative sustainable mobility

    Appears in:
    amsys 14(4): e5

    Authors:
    S. Bordin, M. Menendez, A. De Angeli

    Abstract:
    In this paper we present a case study about the development and delivery of a mobile application fostering sustainable urban mobility by supporting collaborative behaviours among travellers. This application, called ViaggiaTrento, has been designed based on the requirements expressed by student com…In this paper we present a case study about the development and delivery of a mobile application fostering sustainable urban mobility by supporting collaborative behaviours among travellers. This application, called ViaggiaTrento, has been designed based on the requirements expressed by student commuters reflecting on their travelling experience with local transport in the city of Trento, Italy, and has then been fed back to this initial community and subsequently to the rest of citizens. A critical mass of users has been growing since then, with a relevant percentage of citizens downloading and positively rating ViaggiaTrento.
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  • Sustainable Commuting @Work

    Appears in:
    amsys 14(4): e6

    Authors:
    S. Castellani, A. Grasso, J. Willamowski, D. Martin

    Abstract:
    Local governments are seeking effective ways to promote sustainable commuting for reducing energy consumption and improving commuters’ experience. They often use so-called “Workplace Travel Plans” as policy interventions to engage work organizations as active players, promoting sustainable commutin…Local governments are seeking effective ways to promote sustainable commuting for reducing energy consumption and improving commuters’ experience. They often use so-called “Workplace Travel Plans” as policy interventions to engage work organizations as active players, promoting sustainable commuting amongst their employees. However, it remains
    difficult to systematically engage work organizations and commuters in such efforts for a number of reasons, ranging from preferences to constraints that they have to deal with. We aim at providing commuters, work organizations, and public administrators with tools that facilitate this engagement. In this paper, we discuss the requirements for the design of technology supporting corresponding services for commuters and work organizations and we shortly illustrate the infrastructure that we are developing to provide such services.
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  • Review of Transportation Mode Detection techniques

    Appears in:
    amsys 14(4): e7

    Authors:
    Jacopo Biancat, Chiara Brighenti, Attilio Brighenti

    Abstract:
    This paper reviews the works found in the literature in the field of Transportation Mode Detection (TMD) which is a subfield of Activity Recognition aiming at indentifying (i.e. classifying) the mean of transportation a person is using. The solutions found in literature have different characteristi…This paper reviews the works found in the literature in the field of Transportation Mode Detection (TMD) which is a subfield of Activity Recognition aiming at indentifying (i.e. classifying) the mean of transportation a person is using. The solutions found in literature have different characteristics according to the device for which the solution was tailored (smartphones or other systems such as, e.g., GPS loggers) and to the algorithm used for the classification task. This may vary a lot according to the number and type of input used (e.g. accelerations, GPS, maps information or GIS - Geographical Information System information) and to the identified classes of transportation mode. These two aspects are the most relevant to consider when evaluating and comparing the accuracies claimed by each work. A comparison of the works is proposed taking into account the characteristics discussed above.
    In general the accelerometer is the most widely used sensor for TMD applications, as it limits battery consumption and captures relevant features for detecting motion.
    Indeed a key challenge in TMD is to detect different motorized classes such as bus, car, train and metro because they share common characteristics (such as e.g. the average speed and accelerations) which make hard identifying suitable features for the classification algorithm. Identifying the “walk” and “stationary” transportation modes is a simpler task because they are characterized by distinct features.
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  • Welcome message for the Special Issue "USCIAMO: Urban Sustainable, CollaboratIve, and Adaptive MObility"

    Appears in:
    amsys 14(4): e1

    Authors:
    Silvia Gabrielli , Stefania Castellani , Antti Jylha , Jutta Willamowski

    Abstract:
    Transportation is a key domain to address for promoting sustainability as it accounts for about one third of the energy consumption in the EU and in the US. Nevertheless, changing the transportation habits of citizens is a hard challenge. In this Special Issue of the EAI Endorsed Transactions on Am…Transportation is a key domain to address for promoting sustainability as it accounts for about one third of the energy consumption in the EU and in the US. Nevertheless, changing the transportation habits of citizens is a hard challenge. In this Special Issue of the EAI Endorsed Transactions on Ambient Systems, we present a selection of high-quality papers presented at the workshop on “Urban Sustainable, CollaboratIve, and Adaptive MObility” (USCIAMO), held at the COOP 2014 Conference. The articles address different topics related to the design and deployment of innovative systems and techniques for behavior change in the domain of sustainable mobility, from gamification models and mechanics to encourage sustainable travel behavior to segmentation techniques for personalizing mobility behavior interventions, from participatory design of sustainable mobility applications to innovative frameworks for sustainable commuting at work and transport mode detection.
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  • Towards an Applied Gamification Model for Tracking, Managing, & Encouraging Sustainable Travel Behaviours

    Appears in:
    amsys 14(4): e2

    Authors:
    Simon Wells, Henri Kotkanen, Michael Schlafli, Silvia Gabrielli, Judith Masthoff, Antti Jylhä, Paula Forbes

    Abstract:
    In this paper we introduce a gamification model for encouraging sustainable multi-modal urban travel in modern European cities. Our aim is to provide a mechanism that encourages users to reflect on their current travel behaviours and to engage in more environmentally friendly activities that lead …In this paper we introduce a gamification model for encouraging sustainable multi-modal urban travel in
    modern European cities. Our aim is to provide a mechanism that encourages users to reflect on their current travel behaviours and to engage in more environmentally friendly activities that lead to the formation of sustainable, long-term travel behaviours. To achieve this our users track their own behaviours, set goals, manage their progress towards those goals, and respond to challenges. Our approach uses a point accumulation and level achievement metaphor to abstract from the underlying specifics of individual behaviours and goals to allow an extensible and flexible platform for behaviour management. We present our model within the context of the SUPERHUB project and platform.
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Scope

USCIAMO: Urban Sustainable, CollaboratIve, and Adaptive MObility Transportation is a key domain to address for promoting sustainability as it accounts for about one third of the energy consumption in the EU and in the US. Nevertheless, changing the transportation habits of citizens is a hard chall…

USCIAMO: Urban Sustainable, CollaboratIve, and Adaptive MObility Transportation is a key domain to address for promoting sustainability as it accounts for about one third of the energy consumption in the EU and in the US. Nevertheless, changing the transportation habits of citizens is a hard challenge. Local governments have developed a wide variety of interventions to support sustainable mobility, in particular in urban settings. However, most of these typically do not reach the critical mass required to impact citizen’s habits at a large scale. Nowadays, single occupancy vehicle (SOV) commuting still constitutes the main transportation means for most of the population. This induces high personal, societal and environmental costs, generating pollution, consuming energy and time, etc. To move a significant share of the population towards other, more sustainable urban transportation means, many aspects have to be considered, such as for instance improving the quality of (more sustainable) transportation and the traveller’s experience.

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Topics

  • Methods and tools for the development of Pervasive Environmental infrastructure
  • Design of highly immersive contents for Ambient Media
  • Trustful mechanisms for context awareness, social sensing and inference
  • AIterative design and evaluation studies of multimodal interfaces
  • Adaptive and …
  • Methods and tools for the development of Pervasive Environmental infrastructure
  • Design of highly immersive contents for Ambient Media
  • Trustful mechanisms for context awareness, social sensing and inference
  • AIterative design and evaluation studies of multimodal interfaces
  • Adaptive and personalized solutions for ambient intelligence
  • Embodied agents and affective interfaces
  • Personal, social, safety and ethical issues raised by Ambient system applications, such as Domotics, Ambient Assisted Living, Pervasive Edutainment Environments
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Indexing

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Editorial Board

  • Andrea Marin (Università Ca' Foscari, Venezia) Ambient Pervasive Sensing and Applications
  • Aniruddha Bhattacharjya (Tsinghua National Laboratory for Information Science and Technology, Department of Electronics Engineering, Tsinghua University, Beijing, China)
  • Armir Bujari (Università …
  • Andrea Marin (Università Ca' Foscari, Venezia) Ambient Pervasive Sensing and Applications
  • Aniruddha Bhattacharjya (Tsinghua National Laboratory for Information Science and Technology, Department of Electronics Engineering, Tsinghua University, Beijing, China)
  • Armir Bujari (Università degli Studi di Padova)
  • Artur Lugmayr (Curtin University)
  • Binh P. Nguyen (Senior Lecturer, School of Mathematics and Statistics, Victoria University of Wellington, New Zealan)
  • Huynh Xuan Hiep (Can Tho University, Vietnam)
  • Issam W. Damaj (College of Arts and Sciences, American University of Kuwait)
  • Chien-Chih Yu (National ChengChi University)
  • Vijender Kumar Solanki (CMR Institute of Technology, Autonomous, Hyderabad, TS, India)
  • Giacomo Cabri (Università di Modena e Reggio Emilia)
  • Gabriellie Peko (The University of Auckland)
  • Huynh Xuan Hiep (Can Tho University, Vietnam)
  • Juan Carlos Augusto (Middlesex University at London, UK)
  • Khoa X. Le (Ulster University, United Kingdom)
  • Loc Nguyen (Director of International Engineering and Technology Institute)
  • Krishna Asawa (Associate Professor)
  • Manik Sharma (DAV University, India)
  • Muhammad Athar Javed Sethi (University of Engineering and Technology Peshawar)
  • Nguyen Ha Huy Cuong (Quang Nam University)
  • Oscar Mayora (CREATE-NET, Trento, Italy)
  • Pedro Santos (Fraunhofer IGD, Germany)
  • Pietro Cipresso (Applied Technology for Neuro-Psychology Lab - IRCCS Istituto Auxologico Italiano)
  • Prashant Vats(FIMT, GGSIPU, Delhi, India)
  • Rohin Mittal (State University of New York at Buffalo, NY, United States)
  • Silvia Mirri (Università degli Studi di Bologna)
  • Shahed Mohammadi (Ragheb Isfahani Higher Education Institute, Iran)
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Journal Blurb

This journal has been renamed to:

EAI Endorsed Transactions on Bioengineering and Bioinformatics

This journal has been renamed to:

EAI Endorsed Transactions on Bioengineering and Bioinformatics

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Publisher
ICST
ISSN
2032-927X
Volume
1
Published
2014-10-31
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