Exploring miscommunication and collaborative behaviour in human-robot interaction

This paper presents the first step in designing a speech-enabled robot that is capable of natural management of miscommunication. It describes the methods and results of two WOz studies, in which dyads of naïve participants interacted in a collaborative task. The first WOz study explored human miscommunication management. The second study investigated how shared visual space and monitoring shape the processes of feedback and communication in task-oriented interactions. The results provide insights for the development of human-inspired and robust natural language interfaces in robots

Goal-oriented Dialogue Policy Learning from Failures

Reinforcement learning methods have been used for learning dialogue policies. However, learning an effective dialogue policy frequently requires prohibitively many conversations. This is partly because of the sparse rewards in dialogues, and the very few successful dialogues in early learning phase. Hindsight experience replay (HER) enables learning from failures, but the vanilla HER is inapplicable to dialogue learning due to the implicit goals. In this work, we develop two complex HER methods providing different trade-offs between complexity and performance, and, for the first time, enabled HER-based dialogue policy learning. Experiments using a realistic user simulator show that our HER methods perform better than existing experience replay methods (as applied to deep Q-networks) in learning rate

Natural Language Dialogue Service for Appointment Scheduling Agents

Appointment scheduling is a problem faced daily by many individuals and organizations. Cooperating agent systems have been developed to partially automate this task. In order to extend the circle of participants as far as possible we advocate the use of natural language transmitted by e-mail. We describe COSMA, a fully implemented German language server for existing appointment scheduling agent systems. COSMA can cope with multiple dialogues in parallel, and accounts for differences in dialogue behaviour between human and machine agents. NL coverage of the sublanguage is achieved through both corpus-based grammar development and the use of message extraction techniques.Comment: 8 or 9 pages, LaTeX; uses aclap.sty, epsf.te

Necessity, a Leibnizian Thesis, and a Dialogical Semantics

In this paper, an interpretation of "necessity", inspired by a Leibnizian idea and based on the method of dialogical logic, is introduced. The semantic rules corresponding to such an account of necessity are developed, and then some peculiarities, and some potential advantages, of the introduced dialogical explanation, in comparison with the customary explanation offered by the possible worlds semantics, are briefly discussed

What can managers do for creativity? : brokering creativity in the creative industries

'Creativity' has become a fashionable term in the contemporary managerial and political lexicon, signalling generalised approval in education, business and the arts. In Britain, 'creative industries' has replaced 'cultural industries' as the umbrella term for artistic and cultural production and distribution, and 'creativity' has been incorporated into the national tourism brand . In business, managers and academics use 'creativity' to indicate an organisation's capacity for innovation, flexibility and autonomy; these 'creative' values are seen to have replaced operational efficiency and strategic planning as the primary source of 'competitive advantage' in business. In education, creativity has spread beyond its original context of arts based subjects and is used to refer to a generalised ability to solve problems and generate new concepts across the entire curriculum. The term creativity has become so all-embracing as to lose any clearly defined meaning and value. Ask any organisation, industry or individual whether they would ever admit to being 'uncreative' and the corruption of meaning is only too apparent. It seems that we are all creative now. Creativity has become both the language and currency of today's knowledge economy