Jun HU :: HU, Jun

Christoph Bartneck and Jun Hu

Abstract: Robots have been introduced into our society, but their social role is still unclear. A critical issue is whether the robot’s exhibition of intelligent behaviour leads to the users’ perception of the robot as being a social actor, similar to the way in which people treat computers and media as social actors. The first experiment mimicked Stanley Milgram’s obedience experiment, but on a robot. The participants were asked to administer electric shocks to a robot, and the results show that people have fewer concerns about abusing robots than about abusing other people. We refined the methodology for the second experiment by intensifying the social dilemma of the users. The participants were asked to kill the robot. In this experiment, the intelligence of the robot and the gender of the participants were the independent variables, and the users’ destructive behaviour towards the robot the dependent variable. Several practical and methodological problems compromised the acquired data, but we can conclude that the robot’s intelligence had a significant influence on the users’ destructive behaviour. We discuss the encountered problems and suggest improvements. We also speculate on whether the users’ perception of the robot as being “sort of alive” may have influenced the participants’ abusive behaviour.

Keywords: robots, perceived intelligence, killing, abuse

Jun Hu, Christoph Bartneck, Ben Salem, Matthias Rauterberg

Abstract - In the paradigm of cultural computing, different cultures need different approaches to address the cultural determinants that strongly influences our way of thinking, feeling and worldview in general. For the western culture, our answer to this need is an artistic and interactive installation (ALICE) based on the narrative ‘Alice’s Adventures in Wonderland’. To address the western culture characteristics highlighted in the narrative, six stages were selected and implemented as an interactive experience. From start to end, the user undergoes an immersive environment that integrates embodied and virtual agents, real and nature mimicking, and both virtual and augmented reality. Every stage challenges the hardware and software design to provide the intended experience, which at the overall system level yet have to be seamlessly integrated. A distributed and multi-layered architecture is designed to accommodate this need. After several pilot tests, the installation is ready as a cultural computing platform for the experiments that address the western cultural determinants.
Keywords: Alice’s Adventures in Wonderland; western culture; cultural computing; human-computer interaction; HCI; art installation; interactive installation; virtual agents; virtual reality; augmented reality; immersive environments; Alice in Wonderland

Hao Liu, Jun Hu,  Matthias Rauterberg

ABSTRACT
Travel by air, especially long distance, the combination of long flight duration, limited space and an unusual cabin environment causes physical and psychological discomfort and even stress for a large group of passengers. In-flight entertainment systems are commonly installed on the long haul flights to increase the passenger’s comfort level. However, the current installed and commercially available in-flight entertainment systems do not explore how the entertainment services can be adapted to reduce the passenger’s stress level systematically and intelligently. Also, these systems are designed and implemented based on a pre-set concept of what customer likes and requires as a homogeneous passenger group that has similar tastes and desires. In this paper, we present a new entertainment adaptive framework AIRSF for stress free air travel. Compared to the current in-flight entertainment framework, it can regulate the passenger’s physical and psychological states at comfort physical and psychological states with context-aware and personalized stress reduction entertainment service provision intelligently; What is more, based on the passenger’s bio and explicit feedback, it can automatically track, learn and adapt to the passenger’s preferences.
Categories and Subject Descriptors
H.1.2 [Models and Principles]: User/Machine Systems – Human factors, Human information processing.
General Terms
Design, human Factors, languages.
Keywords
Adaptive framework, context-awareness, in-flight entertainment.