1,721,029 research outputs found
D4.6 A web platform for personalized goal setting, tips & tricks, and social gamification: Safe tolerance zone calculation and interventions for driver-vehicle-environment interactions under challenging conditions
No full textThis text provided an overview of the place of the i-DREAMS web platform in the overall iDREAMS software framework, the approach and technological decisions that were taken, and
the main functionalities that were realized in this web platform. In providing a qualitative, stateof-the-art, flexible and dynamic web platform, we realize the two strategies for post-trip
interventions fundamental to the i-DREAMS approach, i.e. on the one hand a strategy targeted
at providing personalized feedback about driver/operator behavioural aspects of the past trip
with a direct link to safety (overall safety score, speeding, mobile phone usage, etc.) driving,
and on the other hand, a strategy called feed and feed forward targeted at setting safety
behavioural goals and supported by social gamification schemes
D4.6 A web platform for personalized goal setting, tips & tricks, and social gamification: Safe tolerance zone calculation and interventions for driver-vehicle-environment interactions under challenging conditions
No full textThis text provided an overview of the place of the i-DREAMS web platform in the overall iDREAMS software framework, the approach and technological decisions that were taken, and
the main functionalities that were realized in this web platform. In providing a qualitative, stateof-the-art, flexible and dynamic web platform, we realize the two strategies for post-trip
interventions fundamental to the i-DREAMS approach, i.e. on the one hand a strategy targeted
at providing personalized feedback about driver/operator behavioural aspects of the past trip
with a direct link to safety (overall safety score, speeding, mobile phone usage, etc.) driving,
and on the other hand, a strategy called feed and feed forward targeted at setting safety
behavioural goals and supported by social gamification schemes
Facilitating hikers’ mobility in protected areas through smartphone app: a case of the Hoge Kempen National Park, Belgium
No full textVisitor mobility in protected areas is often a challenge as manual map reading and finding a route consume the time. This paper presents a digital tool that provides valuable information for both the visitors and the managers of protected areas. The app provides assistance to users to generate, access, and record hiking routes within the protected area. A route planner was created to generate user-specific alternative routes taking into account the user's preferences in terms of distance, preferred landscape, level of accessibility, etc. The app also provides the users with basic information on the park, including captivating points, typical flora, and fauna. Moreover, visitors and park management can communicate with each other through exchanging messages and suggestions. The pilot validation test performed with 20 participants and real-time test from 68 park visitors revealed that all the functionality of the app is in order and the app enhances the mobility experience of the user within Hoge Kempen National Park. Furthermore, regular use of the app from users will generate rich data that is valuable for visitor management purposes, for example, the number of trips per day, the average duration of visits and popular segments.Shaker, M (reprint author), niv Hasselt, Transportat Res Inst IMOB, Agoralaan, B-3590 Diepenbeek, Belgium.
[email protected]
CTASS: an intelligent framework for personalized travel behaviour advice to cardiac patients
No full textCurrent cardiac rehabilitation programs intending to increase physical activity of patients suffer from a lack of knowledge about effective patient’s activity profiles and their associated behavior. This leads to the fact that therapies are not completely tailored to the patient, causing non-adherence to the proposed treatment schedule. An important potential for increasing the physical activity level of patients is available in their daily travel behaviour that can be made more active. To validate this potential, we propose a Cardiac Travel Advice Support System (CTASS) digital framework for personalized travel behaviour advice to cardiac patients. The travel behaviour of the group of patients whose actual physical activity level is expected to be too low is monitored by a smartphone application that objectifies their daily activity schedules. The data from the schedules is analysed semi-automatically by the CTASS. Based on this analysis, the doctor can provide a treatment that is personalized to the specific contexts of the patient. In this way, we try to optimize their travel-related physical activity. Moreover, we predict the risk of non-adherence to the therapy taking into account the derived characteristics of the patient
CTASS: a framework for contextualized travel behavior advice to cardiac patients
No full textCurrent cardiac rehabilitation programs intending to increase physical activity of patients suffer from a lack of knowledge about effective patient’s activity profiles and their associated behavior. This leads to the fact that therapies are not completely tailored to the patient causing non-adherence to the proposed treatment schedule. An important potential for increasing the physical activity level of patients is available in their daily travel behavior that can be made more active. To validate this potential, we propose a Cardiac Travel Advice Support System (CTASS) digital framework for contextualized travel behavior advice to cardiac patients. The patient’s travel behaviour is monitored by a smartphone application which objectify their daily activity schedules. The data from the schedules is analysed semi-automatically by the CTASS. Based on this analysis the doctor can provide a treatment that is personalized to the specific contexts of the patient. In this way, we try to optimize their travel-related physical activity and detect non-adherence to the therapy
D4.7 A guide for driver/operator coaches and trainers on improving safety in transport companies based on real driver data Safe tolerance zone calculation and interventions for driver-vehicle-environment interactions under challenging conditions
No full textnot availabl
D4.5 A smartphone app (Android) for personalized driving behavioural feedback Safe tolerance zone calculation and interventions for driver-vehicle-environment interactions under challenging conditions
No full textThis text provided an overview of the place of the i-DREAMS Android smartphone app in the
overall i-DREAMS software framework, the approach and technological decisions that were
taken, and the main functionalities that were realized in this app. In providing a qualitative,
state-of-the-art, flexible and dynamic app, we realize the two strategies for post-trip
interventions fundamental to the i-DREAMS approach, i.e. on the one hand a strategy targeted
at providing personalized feedback about driver/operator behavioural aspects of the past trip
with a direct link to safety (overall safety score, speeding, mobile phone usage, etc.) driving,
and on the other hand, a strategy called feed and feed forward targeted at setting safety
behavioural goals and supported by social gamification schemes
Design process and design evaluation of web-based visualization dashboard to monitor and support the decision-making of travel-related physical activity
No full textPatients suffering from coronary heart disease (CHD) require to attend cardiac rehabilitation to manage modifiable risk factors including physical activity (PA) to avoid the progression of the disease. However, attendance in these programs is low. Travel-related PA (TPA) monitoring via a smartphone app can provide an opportunity to assess the part of routine PA level. A digital framework consisting of a smartphone app to monitor travel behaviour and a semi-automated feedback report to show the performance of TPA was used in a pilot trial. An important component of this digital framework is a web-based visualization dashboard designed for healthcare providers to get insights into the routine TPA performance of their patients. This study aims to describe the design process and design evaluation of healthcare providers for the visualization dashboard. After designing the user interface screens of the dashboard, the prospective healthcare providers were contacted from the four hospitals in Belgium. Seven interested representative participants attended a focus group session. The session's proceedings were recorded and transcribed. A directed content analysis was used which utilizes a predetermined coding scheme. The usability of the web-based visualization dashboard's content (monitoring and enhancing TPA) was evaluated as of significant importance within and after the rehabilitation programs in the secondary prevention of CHD. TPA monitoring can be effective in motivating targeted patients who have sedentary lifestyles and do not attend rehabilitation programs. Experts particularly recommended adopting engagement strategies for the TPA monitoring and enhancing frameworks. The strategies to enhance patient engagement should be given high importance in future intervention design.The authors would like to acknowledge Dr Pieter Vandervoort and Christophe JP Smeets for facilitating this research at ZOL’s cardiology department and the rehabilitation centers. I am thankful for the cooperation of the staff of the rehabilitation centers in all four cooperating hospitals (Jessa, Hasselt; ZOL, Genk; SFZ, Heusden Zolder, AZ Delta, Roeselare) for recognizing the importance of the research topic and participation and engagement in the focus group session
D4.5 A smartphone app (Android) for personalized driving behavioural feedback Safe tolerance zone calculation and interventions for driver-vehicle-environment interactions under challenging conditions
No full textThis text provided an overview of the place of the i-DREAMS Android smartphone app in the
overall i-DREAMS software framework, the approach and technological decisions that were
taken, and the main functionalities that were realized in this app. In providing a qualitative,
state-of-the-art, flexible and dynamic app, we realize the two strategies for post-trip
interventions fundamental to the i-DREAMS approach, i.e. on the one hand a strategy targeted
at providing personalized feedback about driver/operator behavioural aspects of the past trip
with a direct link to safety (overall safety score, speeding, mobile phone usage, etc.) driving,
and on the other hand, a strategy called feed and feed forward targeted at setting safety
behavioural goals and supported by social gamification schemes
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