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Comparing task-based and socially intelligent behaviour in a robot bartender

Manuel Giuliani, Ronald P.A. Petrick, Mary Ellen Foster, Andre Gaschler, Amy Isard, Maria Pateraki, Markos Sigalas
2013 Proceedings of the 15th ACM on International conference on multimodal interaction - ICMI '13  
drinks; in the socially intelligent setting, the robot additionally acts in a manner socially appropriate to the bartender scenario, based on the behaviour of humans observed in natural bar interactions  ...  To do so, we implemented a robot bartender which is able to take drink orders from humans and serve drinks to them.  ...  Thanks to Ingmar Kessler for helping run the experiment, and to Jan Peter de Ruiter for advice on experiment design and statistics.  ... 
doi:10.1145/2522848.2522869 dblp:conf/icmi/GiulianiPFGIPS13 fatcat:7yo2ytxt75hhteq3sifdxvs6ra

Evaluating a social multi-user interaction model using a Nao robot

Simon Keizer, Pantelis Kastoris, Mary Ellen Foster, Amol Deshmukh, Oliver Lemon
2014 The 23rd IEEE International Symposium on Robot and Human Interactive Communication  
The system is a Nao-based alternative version of an existing robot bartender developed in the JAMES project [1].  ...  This paper presents results from a user evaluation of a robot bartender system, which supports social engagement and interaction with multiple customers.  ...  Conclusion In this paper, we have presented a socially intelligent robot bartender, ported to the Nao torso robot platform.  ... 
doi:10.1109/roman.2014.6926272 dblp:conf/ro-man/KeizerKFDL14 fatcat:hwdrbjlykndtnkzdwj7pxqsdya

Two people walk into a bar

Mary Ellen Foster, Andre Gaschler, Manuel Giuliani, Amy Isard, Maria Pateraki, Ronald P.A. Petrick
2012 Proceedings of the 14th ACM international conference on Multimodal interaction - ICMI '12  
We introduce a humanoid robot bartender that is capable of dealing with multiple customers in a dynamic, multi-party social setting.  ...  In a user evaluation, 31 participants interacted with the bartender in a range of social situations.  ...  We thank the ICMI reviewers for their constructive comments, and our JAMES colleagues for useful discussion and collaboration.  ... 
doi:10.1145/2388676.2388680 dblp:conf/icmi/FosterGGIPP12 fatcat:6yhnu5idqbgbnidaubdskbkrca

Machine Learning for Social Multiparty Human--Robot Interaction

Simon Keizer, Mary Ellen Foster, Zhuoran Wang, Oliver Lemon
2014 ACM transactions on interactive intelligent systems (TiiS)  
We describe a variety of machine learning techniques that are being applied to social multi-user human-robot interaction, using a robot bartender in our scenario.  ...  We then describe an approach to social skills execution-i.e., action selection for generating socially appropriate robot behaviour-which is based on reinforcement learning, using a data-driven simulation  ...  This decision-making process should lead to robot behaviour that is both task-effective and socially appropriate.  ... 
doi:10.1145/2600021 fatcat:fd7y377tpjdhbpe6jqtb4mwuly

Handling uncertain input in multi-user human-robot interaction

Simon Keizer, Mary Ellen Foster, Andre Gaschler, Manuel Giuliani, Amy Isard, Oliver Lemon
2014 The 23rd IEEE International Symposium on Robot and Human Interactive Communication  
In this paper we present results from a user evaluation of a robot bartender system which handles state uncertainty derived from speech input by using belief tracking and generating appropriate clarification  ...  We present a combination of state estimation and action selection components in which state uncertainty is tracked and exploited, and compare it to a baseline version that uses standard speech recognition  ...  State Monitoring with Uncertain Input In our robot bartender system, the task of the state manager is to keep track of the social state, which contains information about the customers in the scene: for  ... 
doi:10.1109/roman.2014.6926271 dblp:conf/ro-man/KeizerFGGIL14 fatcat:mxlc2nqauratflnxr65l4dylci

Introduction to the Special Issue on Machine Learning for Multiple Modalities in Interactive Systems and Robots

Heriberto Cuayáhuitl, Lutz Frommberger, Nina Dethlefs, Antoine Raux, Mathew Marge, Hendrik Zender
2014 ACM transactions on interactive intelligent systems (TiiS)  
This special issue highlights research articles that apply machine learning to robots and other systems that interact with users through more than one modality, such as speech, gestures, and vision.  ...  For example, a robot may coordinate its speech with its actions, taking into account (audio-) visual feedback during their execution.  ...  ACKNOWLEDGMENTS We thank the chief editors of ACM TiiS, Anthony Jameson, John Riedl and Krzysztof Gajos, for letting this special issue become a reality and for their high commitment with this journal.  ... 
doi:10.1145/2670539 fatcat:mpwlonu2yfcnher33owzkl6j6y

Developing a macro cognitive common model test bed for real world expertise

Kate Dudzik, Robert L. West, Jeremy T. Young
2018 Procedia Computer Science  
A central challenge for the common model and for Artificial General Intelligence (AGI) is the development of functional humanlike agents capable of performing complex tasks in dynamic real-world environments  ...  Abstract A central challenge for the common model and for Artificial General Intelligence (AGI) is the development of functional humanlike agents capable of performing complex tasks in dynamic real-world  ...  The initial task for our agent, Rachel, was to search for a location in the park, based on a landmark. The competing tasks were to take in the view of the park and daydream.  ... 
doi:10.1016/j.procs.2018.11.056 fatcat:f3ca4mzpife2jj3ob3ez5lklry

Understanding Social Robots

Frank Hegel, Claudia Muhl, Britta Wrede, Martina Hielscher-Fastabend, Gerhard Sagerer
2009 2009 Second International Conferences on Advances in Computer-Human Interactions  
In order to present a comprehensive and concise overview of the various aspects we present a framework for a definition towards social robots.  ...  In this paper we argue that form, function, and context have to be taken systematically into account in order to develop a model to help us understand social robots.  ...  In short, a sociable robot is socially intelligent in a human-like way.  ... 
doi:10.1109/achi.2009.51 dblp:conf/achi/HegelMWHS09 fatcat:jiwprvzrpbayboqay4beo27rzq

A Systematic Review of Adaptivity in Human-Robot Interaction

Muneeb Ahmad, Omar Mubin, Joanne Orlando
2017 Multimodal Technologies and Interaction  
As the field of social robotics is growing, a consensus has been made on the design and implementation of robotic systems that are capable of adapting based on the user actions.  ...  In this paper, we present a systematic review on the reported adaptive interactions across a number of domain areas during Human-Robot Interaction and also give future directions that can guide the design  ...  ., 2015 [58] and colleagues conduct a field trial to compare three different adaptive behaviours of a social robot at a shopping mall.  ... 
doi:10.3390/mti1030014 fatcat:ltqgdjctrzeozjev3czfzedly4

KABouM: Knowledge-Level Action and Bounding Geometry Motion Planner

Andre Gaschler, Ronald P. A. Petrick, Oussama Khatib, Alois Knoll
2018 The Journal of Artificial Intelligence Research  
We present a framework, called KABouM, for integrating knowledge-level task planning and motion planning in a bounding geometry.  ...  We evaluate our approach on a wide set of problems using real robots, including tasks with multiple manipulators, sensing and branched plans, and mobile manipulation.  ...  This research was supported in part by the European Commission's 7th Framework Programme through grant no. 270435 (JAMES: Joint Action for Multimodal Embodied Social Systems, http://james-project.eu/).  ... 
doi:10.1613/jair.5560 fatcat:c7sga7fdffg4rl3k5vypntq5he

Marketing and Artificial Intelligence

Krystyna Jarek, Grzegorz Mazurek
2019 Central European Business Review  
In recent years, artificial intelligence (AI) has become an emerging trend in different fields: science, business, medicine, automotive and education. AI has also reached marketing.  ...  The aim of the paper is to research how deeply AI is applied in marketing and what implications there are for marketing practitioners.  ...  As the authors found that the first AI applications are made as a single implementation, often as an experiment, there is a need for further research to assess the impact of AI on marketing, especially  ... 
doi:10.18267/j.cebr.213 fatcat:ytcd34ncvvanreq3qui5jlc5uy

Architectures and applications of intelligent agents: A survey

JÖRG P. MÜLLER
1999 Knowledge engineering review (Print)  
In its ®rst part, we survey the state of the art in research on agent architectures. The architecture of an agent describes its modules and capabilities, and how these operate together.  ...  We characterise the most important domains to which the dierent approaches described in the ®rst part have been applied, propose an applicationrelated taxonomy of agents, and give a set of guidelines to  ...  I also would like to thank Michael Wooldridge, Nick Jennings, Markus Pischel, and Innes Ferguson for many fruitful discussions about agent architectures and agent applications that shaped my current view  ... 
doi:10.1017/s0269888998004020 fatcat:pztdx2ip4vckfidstw65mvga7q

Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks

Songül Tolan, Annarosa Pesole, Fernando Martínez-Plumed, Enrique Fernández-Macías, José Hernández-Orallo, Emilia Gómez
2021 The Journal of Artificial Intelligence Research  
In this paper we develop a framework for analysing the impact of Artificial Intelligence (AI) on occupations.  ...  Finally, we find that some of the abilities where AI research is currently very intense are linked to tasks with comparatively limited labour input in the labour markets of advanced economies (e.g., visual  ...  of other agents. • Rubric question: Do all instances of this task inherently require that a robot or a human successfully interacts in social contexts with other agents having beliefs, desires and intentions  ... 
doi:10.1613/jair.1.12647 fatcat:slu4n574qrhurmjbirnqdbz5km

Dynamic Planning for Agents in Games Using Social Norms and Emotions [chapter]

Palli R. Thrainsson, Arnkell Logi Petursson, Hannes Högni Vilhjálmsson
2011 Lecture Notes in Computer Science  
In this thesis we describe a way of tackling this challenge using a three pronged solution. We have incorporated a social norms model into the agents using social rules.  ...  Both these models reside in an appraisal module that is based on emotional appraisal theory.  ...  Acknowledgements This thesis is supported by the Humanoid Agents in Social Game Environments Grant of Excellence from The Icelandic Research Fund  ... 
doi:10.1007/978-3-642-23974-8_68 fatcat:ixx3yl3thvecjpci3ke5mhnsti

MiRA—Mixed Reality Agents

Thomas Holz, Abraham G. Campbell, Gregory M.P. O'Hare, John W. Stafford, Alan Martin, Mauro Dragone
2011 International Journal of Human-Computer Studies  
Based on this definition, a taxonomy is offered that classifies MiRAs along three axes: agency, based on the weak and strong notions outlined by Wooldridge and Jennings (1995); corporeal presence, which  ...  defined as agents embodied in a Mixed Reality environment.  ...  The user is placed in an environment featuring a real bar counter and a virtual bartender and outlaw, both of which are projected onto screens placed in the room.  ... 
doi:10.1016/j.ijhcs.2010.10.001 fatcat:emml3hgtjffsvdvi33avosh7v4
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