Foundations of Human-Aware Planning -- A Tale of Three Models

abstract: A critical challenge in the design of AI systems that operate with humans in the loop is to be able to model the intentions and capabilities of the humans, as well as their beliefs and expectations of the AI system itself. This allows the AI system to be "human- aware" -- i.e. the human task model enables it to envisage desired roles of the human in joint action, while the human mental model allows it to anticipate how its own actions are perceived from the point of view of the human. In my research, I explore how these concepts of human-awareness manifest themselves in the scope of planning or sequential decision making with humans in the loop. To this end, I will show (1) how the AI agent can leverage the human task model to generate symbiotic behavior; and (2) how the introduction of the human mental model in the deliberative process of the AI agent allows it to generate explanations for a plan or resort to explicable plans when explanations are not desired. The latter is in addition to traditional notions of human-aware planning which typically use the human task model alone and thus enables a new suite of capabilities of a human-aware AI agent. Finally, I will explore how the AI agent can leverage emerging mixed-reality interfaces to realize effective channels of communication with the human in the loop.Dissertation/ThesisDoctoral Dissertation Computer Science 201

Learning in virtual worlds : Using communities of practice to explain how people learn from play

Although there is interest in the educational potential of online multiplayer games and virtual worlds, there is still little evidence to explain specifically what and how people learn from these environments. This paper addresses this issue by exploring the experiences of couples that play World of Warcraft together. Learning outcomes were identified (involving the management of ludic, social and material resources) along with learning processes, which followed Wenger’s model of participation in Communities of Practice. Comparing this with existing literature suggests that productive comparisons can be drawn with the experiences of distance education students and the social pressures that affect their participation

Reproductive Goals and Family Planning Attitudes in Pakistan: A Couple-level Analysis

Based on the responses of 1260 matched couples in the 1990-91 Pakistan Demographic and Health Survey, this study examines how congruent wives’ and husbands’ attitudes towards fertility and family planning are, and to what extent the similarity or difference in attitudes affects their reproductive control behaviour. The results show that about 60 percent of the couples have given similar responses (agreeing either positively or negatively) to several fertility-related questions, whereas the remaining 40 percent differ in their attitudes. Multivariate analyses indicate that a couple’s joint approval of family planning, husband’s desire for no more children, and spousal discussion about family planning stand out as the strongest predictors of contraceptive use. These findings clearly suggest that the role of couple agreement is important in promoting the use of family planning, and that men should be made as equal targets of such programmes in Pakistan.