Welcome to the Future - How Naïve Users Intuitively Address an Intelligent Robotics Apartment

The purpose of this Wizard-of-Oz study was to explore the intuitive verbal and non-verbal goal-directed behavior of naive participants in an intelligent robotics apartment. Participants had to complete seven mundane tasks, for instance, they were asked to turn on the light. Participants were explicitly instructed to consider nonstandard ways of completing the respective tasks. A multi-method approach revealed that most participants favored speech and interfaces like switches and screens to communicate with the intelligent robotics apartment. However, they required instructions to use the interfaces in order to perceive them as competent targets for human-machine interaction. Hence, first important steps were taken to investigate how to design an intelligent robotics apartment in a user-centered and user-friendly manner.

[1]  Sven Wachsmuth,et al.  How Can I Help? , 2011, Int. J. Soc. Robotics.

[2]  Chris D. Nugent,et al.  Evidential fusion of sensor data for activity recognition in smart homes , 2009, Pervasive Mob. Comput..

[3]  M. Chan,et al.  Smart homes - current features and future perspectives. , 2009, Maturitas.

[4]  Peter Wittenburg,et al.  Annotation by Category: ELAN and ISO DCR , 2008, LREC.

[5]  J. F. Kelley,et al.  An iterative design methodology for user-friendly natural language office information applications , 1984, TOIS.

[6]  Ram Dass,et al.  How can I help , 1985 .

[7]  Chris D. Nugent,et al.  A Knowledge-Driven Approach to Activity Recognition in Smart Homes , 2012, IEEE Transactions on Knowledge and Data Engineering.

[8]  Joelle Pineau,et al.  Towards robotic assistants in nursing homes: Challenges and results , 2003, Robotics Auton. Syst..

[9]  Roger K. Moore.  PRESENCE: A Human-Inspired Architecture for Speech-Based Human-Machine Interaction , 2007, IEEE Transactions on Computers.

[10]  Tiina Kymäläinen,et al.  A User-Centric View of Intelligent Environments: User Expectations, User Experience and User Role in Building Intelligent Environments , 2012, Comput..

[11]  Petra Wagner,et al.  How to Address Smart Homes with a Social Robot? A Multi-modal Corpus of User Interactions with an Intelligent Environment , 2016, LREC.

[12]  Paul A. Pavlou,et al.  Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003, Int. J. Electron. Commer..

[13]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.