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pro vyhledávání: '"Shiwali Mohan"'
Existing literature postulates thermal behaviors primarily to be a consequence of thermal discomfort. However, some thermal behaviors, such as changing the thermostat settings in an office building, can cause thermal discomfort to other occupants in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b26e367c4768b1fb5bdad96ee4a7f2b
https://hdl.handle.net/10919/114043
https://hdl.handle.net/10919/114043
Autor:
Shiwali Mohan
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 11:1-30
Our research aims to develop intelligent collaborative agents that are human-aware - they can model, learn, and reason about their human partner's physiological, cognitive, and affective states. In this paper, we study how adaptive coaching interacti
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 10:1-30
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 adap
Autor:
Shiwali Mohan, Matthew Klenk
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
RO-MAN
Interactive Task Learning (ITL) is an emerging research agenda that studies the design of complex intelligent robots that can acquire new knowledge through natural human teacher-robot learner interactions. ITL methods are particularly useful for desi
Publikováno v:
Journal of Artificial Intelligence Research. 66:555-587
Our research aims at developing intelligent systems to reduce the transportation-related energy expenditure of a large city by influencing individual behavior. We introduce Copter - an intelligent travel assistant that evaluates multi-modal travel al
Autor:
Shiwali Mohan, John Laird
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:2445-2446
Human-agent interaction for learning with instruction canbe viewed on a continuum of instructor/agent control. At one extreme are systems that learn by instructor-driveninteractions, such as learning by demonstration, examples,or imitation. The other
Autor:
Shiwali Mohan
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:2396-2397
The goal of my research is to design agents that learn from human-agent interaction. Specifically, I am interested in acquisition of procedural, conceptual and linguistic knowledge related to novel actions from human-agent collaborative task executio
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 31:4721-4727
Our research aims at developing interactive, social agents that can coach people to learn new tasks, skills, and habits. In this paper, we focus on coaching sedentary, overweight individuals to exercise regularly. We employ adaptive goal setting in w
Autor:
Robert E. Wray, Odest Chadwicke Jenkins, Dario D. Salvucci, Andrea L. Thomaz, Greg Trafton, John R. Anderson, Shiwali Mohan, James R. Kirk, Kevin A. Gluck, Matthias Scheutz, John E. Laird, Christian Lebiere, Kenneth D. Forbus
Publikováno v:
IEEE Intelligent Systems. 32:6-21
This article presents a new research area called interactive task learning (ITL), in which an agent actively tries to learn not just how to perform a task better but the actual definition of a task through natural interaction with a human instructor