Acceptable Planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City

Mohan, Shiwali; Rakha, Hesham A.; Klenk, Matthew

doi:10.1613/jair.1.11352

Cited by 4 publications

(1 citation statement)

References 43 publications

(43 reference statements)

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“…Research has also begun exploring intelligent algorithms and systems that can influence people's behavior to benefit society. Along with preventive healthcare, we have also explored how intelligent systems can influence people's transportation decisions to reduce energy expenditure [32,33]. Often while designing AI systems, little attention is devoted to modeling the behavior of humans who invariably are crucial decision makers.…”

Section: Discussionmentioning

confidence: 99%

Designing an AI Health Coach and Studying its Utility in Promoting Regular Aerobic Exercise

Mohan,

Venkatakrishnan,

Hartzler

2019

Preprint

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Our research aims to develop interactive, social agents that can coach people to learn new tasks, skills, and habits. In this paper, we focus on coaching sedentary, overweight individuals (i.e., "trainees") to exercise regularly. We employ adaptive goal setting in which the intelligent health coach generates, tracks, and revises personalized exercise goals for a trainee. The goals become incrementally more difficult as the trainee progresses through the training program. Our approach is model-based -the coach maintains a parameterized model of the trainee's aerobic capability that drives its expectation of the trainee's performance. The model is continually revised based on trainee-coach interactions. The coach is embodied in a smartphone application, NutriWalking, which serves as a medium for coach-trainee interaction. We adopt a task-centric evaluation approach for studying the utility of the proposed algorithm in promoting regular aerobic exercise. We show that our approach can adapt the trainee program not only to several trainees with different capabilities, but also to how a trainee's capability improves as they begin to exercise more. Experts rate the goals selected by the coach better than other plausible goals, demonstrating that our approach is consistent with clinical recommendations. Further, in a 6-week observational study with sedentary participants, we show that the proposed approach helps increase exercise volume performed each week.

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Section: Discussionmentioning

confidence: 99%

Designing an AI Health Coach and Studying its Utility in Promoting Regular Aerobic Exercise

Mohan,

Venkatakrishnan,

Hartzler

2019

Preprint

Self Cite

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Open block structure planning of eco city based on big data spatial syntax

Tang¹

2021

IOP Conf. Ser.: Earth Environ. Sci.

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For high-frequency sub-images, a hybrid particle swarm optimization algorithm is used to select the threshold, and the neighbourhood algorithm based on average gradient selection is used for fusion. This algorithm can effectively improve the fusion effect of fused images. The experimental research results show that combining the characteristics of gradient intensity and phase consistency, the characteristic method of compressing the information while retaining important information, which is convenient for real-time processing, is used for related research on sensor image fusion. The application of big data to stock planning will help to promote the reform of planning technology and planning subject, and help historical districts better carry out protection planning, construction implementation and operation management. In order to give full play to the urban spatial function, this paper puts forward an ecological city open block structure planning method based on big data spatial syntax. Taking the big data spatial syntax as the core and taking the practical problems as the guidance, this paper constructs the method system and technical realization of the planning, construction and operation management of the historical block supported by the big data spatial syntax, so as to open the block stock of the ecological city The planning methodology is discussed and innovated.

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Designing an AI Health Coach and Studying Its Utility in Promoting Regular Aerobic Exercise

Mohan

Venkatakrishnan

Hartzler

2020

ACM Trans. Interact. Intell. Syst.

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Our research aims to develop interactive, social agents that can coach people to learn new tasks, skills, and habits. In this article, we focus on coaching sedentary, overweight individuals (i.e., “trainees”) to exercise regularly. We employ adaptive goal setting in which the intelligent health coach generates, tracks, and revises personalized exercise goals for a trainee. The goals become incrementally more difficult as the trainee progresses through the training program. Our approach is model-based—the coach maintains a parameterized model of the trainee’s aerobic capability that drives its expectation of the trainee’s performance. The model is continually revised based on trainee-coach interactions. The coach is embodied in a smartphone application, N utri W alking , which serves as a medium for coach-trainee interaction. We adopt a task-centric evaluation approach for studying the utility of the proposed algorithm in promoting regular aerobic exercise. We show that our approach can adapt the trainee program not only to several trainees with different capabilities but also to how a trainee’s capability improves as they begin to exercise more. Experts rate the goals selected by the coach better than other plausible goals, demonstrating that our approach is consistent with clinical recommendations. Further, in a 6-week observational study with sedentary participants, we show that the proposed approach helps increase exercise volume performed each week.

show abstract

Acceptable Planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City

Cited by 4 publications

References 43 publications

Designing an AI Health Coach and Studying its Utility in Promoting Regular Aerobic Exercise

Designing an AI Health Coach and Studying its Utility in Promoting Regular Aerobic Exercise

Open block structure planning of eco city based on big data spatial syntax

Designing an AI Health Coach and Studying Its Utility in Promoting Regular Aerobic Exercise

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