Applying the Wizard-of-Oz framework to cooperative service discovery and configuration

Green, A.; Hüttenrauch, Helge; Eklundh, Kerstin Severinson

doi:10.1109/roman.2004.1374824

Cited by 73 publications

(53 citation statements)

References 5 publications

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“…In this context, a wide range of Wizard of Oz experiments have been executed to evaluate complex robot behavior [5], [6], [7], [8]. However, this behavior is caused by a human operator and not by an implemented algorithm.…”

Section: Introductionmentioning

confidence: 99%

Influence of legibility on perceived safety in a virtual human-robot path crossing task

Lichtenthäler

Lorenzy

Kirsch

2012

2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication

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Abstract-In the future robots will more and more enter our daily life. If we want to increase their acceptance it is necessary that people feel safe in the surrounding of robots. As a prerequisite we think that the robot's behavior has to be legible in order to achieve such a feeling of perceived safety. With our present experiment we assess the perceived safety participants feel when an autonomous robot is crossing their path in a video based virtual scenario watched in first person perspective. The robot is moving with two different navigation algorithms which allows us to test whether the legibility has an influence on the perceived safety and whether the two navigation algorithms differ regarding their resulting legibility and thus perceived safety. Results show that legibility as defined here increases perceived safety of both navigation methods while the level of perceived safety differs between them.

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Section: Introductionmentioning

confidence: 99%

Influence of legibility on perceived safety in a virtual human-robot path crossing task

Lichtenthäler

Lorenzy

Kirsch

2012

2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication

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“…The design of a WoZ experiment may contain different amounts of control ranging from a complete automation of the interaction to an interaction solely dependent on the wizard, as well as mixed-initiative interactions (Riek 2012). Green, Huttenrauch, and Eklundh (2004) set one of the most recognized conditions for conducting a WoZ experiment: the user should have access to specific instructions, the designers should have a behavior hypothesis as well as a specified robot behavior. The architecture's requirements of a WoZ experiment were set by Fraser and Gilbert (1991, p.81-99) that state that (1) "It must be possible to simulate the future system, given human limitations" ; (2) "It must be possible to specify the future system's behavior" ; (3) "It must be possible to make the simulation convincing. "…”

Section: Wizard Of Ozmentioning

confidence: 99%

Learning culturally situated dialogue strategies to support language learners

Abou-Khalil

Ishida

Otani

et al. 2018

RPTEL

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Successful language learning requires an understanding of the target culture in order to make valuable usage of the learned language. To understand a foreign culture, language students need the knowledge of its related products, as well as the skill of comparing them to those of their own culture. One way for students to understand foreign products is by making Culturally Situated Associations (CSA), i.e., relating the products they encountered to products from their own culture. In order to provide students with CSA that they can understand, we must gather information about their culture, provide them with the CSA, and make sure they understand it. In this case, a Culturally Situated Dialogue (CSD) must take place. To carry the dialogue, dialogue systems must follow a dialogue strategy. However, previous work showed that handcrafted dialogue strategies were shown to be ineffective in comparison with machine-learned dialogue strategies. In this research, we proposed a method to learn CSD strategies to support foreign students, using a reinforcement learning algorithm. Since no previous system providing CSA was implemented, the method allowed the creation of CSD strategies when no initial data or prototype exists. The method was applied to generate three different agents: the novice agent was based on an eight states feature-space, the intermediate agent was based on a 144 states feature-space, and the advanced agent was based on a 288 states feature-space. Each of these agents learned a different dialogue strategy. We conducted a Wizard of Oz experiment during which, the agents' role was to support the wizard in their dialogue with students by providing them with the appropriate action to take at each step. The resulting dialogue strategies were evaluated based on the quality of the strategy. The results suggest the use of the novice agent at the first stages of prototyping the dialogue system. The intermediate agent and the advanced agent could be used at later stages of the system's implementation.

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“…Here is your clothes for the hat, Here is your drink for the bottle), to invite the participants to take the object. In terms of robot control, the experiment used a combination of Wizard-of-Oz (WoZ, a technique which originated in HCI but has been used widely in HRI [16,35]) remote control and autonomous behaviour, as an experimenter would start each step of the sequence.…”

Section: Robotmentioning

confidence: 99%

Social Roles and Baseline Proxemic Preferences for a Domestic Service Robot

Koay

Syrdal

Ashgari-Oskoei

et al. 2014

Int J of Soc Robotics

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The goal of our research is to develop socially acceptable behavior for domestic robots in a setting where a user and the robot are sharing the same physical space and interact with each other in close proximity. Specifically, our research focuses on approach distances and directions in the context of a robot handing over an object to a user. Our present study consisted of two parts. Firstly, we carried out a large-scale survey trying to identify the internal structure between users' different social role expectations and the relationships between these and users' technology usage. Results from this study led to the development of a measure for preferred robot social roles. In the second part, this measure was used in a live human-robot interaction (HRI) study in a home setting, designed to create a baseline understanding of The work described in this paper was conducted within the EU Integrated Projects LIREC (LIving with Robots and intEractive Companions, funded by the European Commission under contract numbers FP7 215554, and partly funded by the ACCOMPANY project, a part of the European Union's Seventh Framework Programme (FP7/2007(FP7/ -2013 human-robot Proxemics approach directions and distances for a Care-O-bot 3 based on these roles. In order to support users interpretation of the robots intentions in those tasks, the HRI studies used a simple LED light display panel. Findings indicate that, participants were comfortable with the robot approaching to the closest implemented distance (0.5 m). For the task requiring relatively more coordination, participants preferred the robot to approach from the front to a larger extent than for tasks requiring less coordination. The ability to identify the signals from the LED display also impacted how participants evaluated the robots behaviour. Users who had previous experience of interacting with robots differentiated less between approaches, and also evaluated tasks requiring more coordination with the robot more favourably. The findings in the short-term sample were strongly influenced by expectations as to the social role expectation they had of the robot, suggesting that social expectations impact proxemic interactions even if the robot platform is clearly not humanoid.

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Applying the Wizard-of-Oz framework to cooperative service discovery and configuration

Cited by 73 publications

References 5 publications

Influence of legibility on perceived safety in a virtual human-robot path crossing task

Influence of legibility on perceived safety in a virtual human-robot path crossing task

Learning culturally situated dialogue strategies to support language learners

Social Roles and Baseline Proxemic Preferences for a Domestic Service Robot

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