What is Initiative?

Cohen, Robin; Allaby, Coralee; Cumbaa, Christian; Fitzgerald, Mark; Ho, Kinson; Hui, Bowen; Latulipe, Celine; Lu, Fenghe; Moussa, Nancy; Pooley, David M.; Qian, Alex; Siddiqi, Saheem

doi:10.1007/978-94-017-1118-0_1

Cited by 12 publications

(19 citation statements)

References 8 publications

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“…In this light, a new solving paradigm has been proposed in the literature, which promotes a collaboration between human and artificial solvers during the problem solving process. This emerging paradigm is known as mixed-initiative approach [2,4] and fosters the human-computer cooperation during the resolution of complex problems. The approach is based on the idea that experienced users and automated technologies bring complementary problem-solving strengths to the table, and the goal is to synergistically blend these combined strengths.…”

Section: Introductionmentioning

confidence: 99%

Key Issues in Interactive Problem Solving: An Empirical Investigation on Users Attitude

Cortellessa

Giuliani

Scopelliti

et al. 2005

Human-Computer Interaction - INTERACT 2005

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Abstract. This paper explores the interaction between human and artificial problem solvers when interacting with an Intelligent Scheduling System. An experimental study is presented aimed at investigating the users' attitude towards two alternative strategies for solving scheduling problems: automated and interactive. According to an automated strategy the responsibility of solving the problem is delegated to the artificial solver, while according to an interactive strategy human and automated solvers cooperate to achieve a problem solution.Previous observations of end-users' reactions to problem solving systems have shown that users are often skeptical toward artificial solver performance and prefer to keep the control of the problem solving process. The current study aims at understanding the role played by both the users' expertise and the difficulty of the problem in choosing one of the two strategies. Results show that user expertise and task difficulty interact in influencing this choice.A second aspect explored in the paper concerns the context in which the endusers rely on explanations to understand the solving process. Explanations are in fact expected to play an important role when artificial systems are used for cooperative and interactive problem solving. Results support the hypothesis that explanation services are more often called into play in case of problem solving failures.

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Section: Introductionmentioning

confidence: 99%

Key Issues in Interactive Problem Solving: An Empirical Investigation on Users Attitude

Cortellessa

Giuliani

Scopelliti

et al. 2005

Human-Computer Interaction - INTERACT 2005

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“…The first known reference to the term mixed-initiative was by Carbonell in 1970 [10], in which the author associated the term with a computer-assisted instruction (CAI) system that was designed to maintain a dialogue with students during instruction [11]. While several definitions for mixed-initiative interaction have been offered since then, there is still no consensus [12,13]. The most prominent definitions of mixed-initiative interaction were proposed by Cohen et al [12], Allen [7], and Horvitz [9].…”

Section: Definitionmentioning

confidence: 99%

“…While several definitions for mixed-initiative interaction have been offered since then, there is still no consensus [12,13]. The most prominent definitions of mixed-initiative interaction were proposed by Cohen et al [12], Allen [7], and Horvitz [9]. However, these definitions are specific to the HCI domain, where the objective is to use mixed-initiative interaction as a model for building intelligent collaborative conversational, problem solving, and planning systems [14][15][16][17].…”

Section: Definitionmentioning

confidence: 99%

Mixed-Initiative Human-Robot Interaction: Definition, Taxonomy, and Survey

Jiang¹,

Arkin²

2015

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Abstract-The objectives of this article are: 1) to present a taxonomy for mixed-initiative human-robot interaction and 2) to survey its state of practice through the examination of past research along each taxonomical dimension. The paper starts with some definitions of mixed-initiative interaction (MII) from the perspective of human-computer interaction (HCI) to introduce the basic concepts of MII. We then synthesize these definitions to the robotic context for mixed-initiative humanrobot teams. A taxonomy for mixed-initiative in human-robot interaction is then presented. The goal of the taxonomy is to inform the design of mixed-initiative human-robot systems by identifying key elements of these systems. The state of practice of mixed-initiative human-robot interaction is then surveyed and examined along each taxonomical dimension.

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“…However, as will become evident from the discussion below, there have been many different uses of the term``mixed initiative'' in the literature. Cohen et al (1998) presented a useful survey and synthesis of existing approaches.…”

Section: Interactionmentioning

confidence: 99%

Untitled

Zukerman

Litman

2001

User Modeling and User-Adapted Interaction

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Abstract. The ¢elds of user modeling and natural language processing have been closely linked since the early days of user modeling. Natural language systems consult user models in order to improve their understanding of users' requirements and to generate appropriate and relevant responses. At the same time, the information natural language systems obtain from their users is expected to increase the accuracy of their user models. In this paper, we review natural language systems for generation, understanding and dialogue, focusing on the requirements and limitations these systems and user models place on each other.We then propose avenues for future research.

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What is Initiative?

Cited by 12 publications

References 8 publications

Key Issues in Interactive Problem Solving: An Empirical Investigation on Users Attitude

Key Issues in Interactive Problem Solving: An Empirical Investigation on Users Attitude

Mixed-Initiative Human-Robot Interaction: Definition, Taxonomy, and Survey

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