A Personal Mobility Assistant based on Ambient Intelligence to Promote Sustainable Travel Choices

Magliocchetti, Daniele; Gielow, Martin; Vigili, Federico De; Conti, Giuseppe; Amicis, Raffaele De

doi:10.1016/j.procs.2011.07.124

Cited by 11 publications

(6 citation statements)

References 9 publications

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“…MatkaHupi [35] is a journey planning app that detects and records users' trips and transport modes and provides eco-feedback in the form of visualization of CO 2 emissions. Moreover, the app employs a gamification approach for persuasion in the form of challenges offered to users based on their observed behaviour.…”

Section: Persuasive Systems For Sustainable Mobilitymentioning

confidence: 99%

Persuasive Technologies for Sustainable Mobility: State of the Art and Emerging Trends

et al. 2018

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Abstract:In recent years, persuasive interventions for inducing sustainable mobility behaviours have become an active research field. This review paper systematically analyses existing approaches and prototype systems as well as field studies and describes and classifies the persuasive strategies used for changing behaviours in the domain of mobility and transport. We provide a review of 44 papers on persuasive technology for sustainable transportation aiming to (i) answer important questions regarding the effectiveness of persuasive technology for changing mobility behaviours, (ii) summarize and highlight trends in the technology design, research methods, strategies and theories, (iii) uncover limitations of existing approaches and applications, and (iv) suggest directions for future research.

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Section: Persuasive Systems For Sustainable Mobilitymentioning

confidence: 99%

Persuasive Technologies for Sustainable Mobility: State of the Art and Emerging Trends

et al. 2018

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“…Advances in AmI are facilitated by the long-term increases in the power of microprocessors and nanotechnology, as well as the cost-efficiency of storage capacities and communication bandwidths. AmI has potential applications in many areas of life including home [15], [18], [19], [30], [38], office [20], [34], transport [6], [23], and industry [24]; entertainment tourism recommender systems [27], safety systems, e-health [17], [28], [29], and supported living of many variations [8], [2], [3].…”

Section: The Solution At Workmentioning

confidence: 99%

Improving Energy Saving Techniques by Ambient Intelligence Scheduling

Cristani

Karafili

Tomazzoli

2015

2015 IEEE 29th International Conference on Advanced Information Networking and Applications

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Energy saving is one of the most challenging aspects of modern ambient intelligence technologies, for both domestic and business usages. In this paper we show how to combine Ambient Intelligence and Artificial Intelligence techniques to solve the problem of scheduling a set of devices under a given set of constraints, like limits to the maximal energy usage (Energy Span) and maximal energy absorption (Energy Peak). We provide a method that can be used to schedule the usage of devices in a given environment in a way that respects the input constraints. We adapt an existent approach to scheduling for Ambient Intelligence to aspecific framework and exhibit a sample usage for a real life system, Elettra, that is in use in an industrial context.

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“…A personal mobility assistant app ( i-Tour ) proposed by Magliocchetti et al ( 2011 ) enables users to visualize their travel mode options (indirect tangible benefits) and obtain economic and environmental feedback in terms of travel time and distance to the destination, total emission, and travel cost. Magliocchetti et al ( 2011 ) suggested that gamification components could be added in the app for creating a playful experience in the future to promote transit usage. They also mentioned the importance of adding social components in the gamified app to increase competition and collaboration among its users to increase their awareness of sustainability and promote sustainable and healthier travel habits.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Pokémon GO on route and mode choice decisions: exploring the potential for integrating augmented reality, gamification, and social components in mobile apps to influence travel decisions

et al. 2021

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This study aims to understand the impacts of Pokémon GO, a popular location-based augmented reality (AR) mobile gaming app, on route and mode choices. Pokémon GO leverages AR to introduce virtual objects at fixed and dynamic locations that translate through the app interface to incentives in the real world that potentially influence users’ route and mode choices. Its gaming nature and social components can possibly enhance long-term user engagement through applying the characteristics of game elements and providing opportunities for competition, collaboration, companionship, and social reinforcement. An online survey is conducted to collect the self-reported behavior of a group of Pokémon GO users to explore its impacts on the following aspects of travel behavior: (1) the frequency of changing the route to interact with virtual objects; (2) the likelihood of carpooling more instead of driving alone for more in-app collaboration; and (3) the likelihood of shifting mode from drive alone to public transit, walking, and cycling if provided with additional incentives. The ordered survey responses including frequency and likelihood are analyzed using random parameters ordered probit models to account for the unobserved heterogeneity across users and identify subpopulations of travelers who are more susceptible to the influence of Pokémon GO. The modeling results identify four types of variables (attitude and perceptions related to Pokémon GO, app engagement, play style, and sociodemographic characteristics) that affect users’ travel behavior. The results illustrate that such apps with integrated AR, gamification, and social components can be used by policymakers to influence various aspects of travel behavior. The study findings and insights can provide valuable feedback to system operators for designing such apps to dynamically manage traffic in real-time and promote long-term sustainable mode shifts.

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A Personal Mobility Assistant based on Ambient Intelligence to Promote Sustainable Travel Choices

Cited by 11 publications

References 9 publications

Persuasive Technologies for Sustainable Mobility: State of the Art and Emerging Trends

Persuasive Technologies for Sustainable Mobility: State of the Art and Emerging Trends

Improving Energy Saving Techniques by Ambient Intelligence Scheduling

Impacts of Pokémon GO on route and mode choice decisions: exploring the potential for integrating augmented reality, gamification, and social components in mobile apps to influence travel decisions

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