Human Interactive Communication Research Articles

19th IEEE International Symposium in Robot and Human Interactive Communication (Ro-Man 2010)

19th IEEE International Symposium in Robot and Human Interactive Communication (Ro-Man 2010)

Emotional empathy transition patterns from human brain responses in interactive communication situations

The paper reports our research aiming at utilization of human interactive communication modeling principles in application to a novel interaction paradigm designed for brain–computer/machine-interfacing (BCI/BMI) technologies as well as for socially aware intelligent environments or communication support systems. Automatic procedures for human affective responses or emotional states estimation are still a hot topic of contemporary research. We propose to utilize human brain and bodily physiological responses for affective/emotional as well as communicative interactivity estimation, which potentially could be used in the future for human–machine/environment interaction design. As a test platform for such an intelligent human–machine communication application, an emotional stimuli paradigm was chosen to evaluate brain responses to various affective stimuli in an emotional empathy mode. Videos with moving faces expressing various emotional displays as well as speech stimuli with similarly emotionally articulated sentences are presented to the subjects in order to further analyze different affective responses. From information processing point of view, several challenges with multimodal signal conditioning and stimuli dynamic response extraction in time frequency domain are addressed. Emotions play an important role in human daily life and human-to-human communication. This is why involvement of affective stimuli principles to human–machine communication or machine-mediated communication with utilization of multichannel neurophysiological and periphery physiological signals monitoring techniques, allowing real-time subjective brain responses evaluation, is discussed. We present our preliminary results and discuss potential applications of brain/body affective responses estimation for future interactive/smart environments.

Special Issue on “Human and Robot Interactive Communication”

Special Issue on “Human and Robot Interactive Communication”

유비쿼터스 환경에서 컨텍스트 정보를 위한 C-A-V구조 기반의 메타 데이터 모델

사람과 컴퓨터사이에 의사 소통을 위해 컨텍스트 정보(context information)를 최대한 활용하고 이용하는 것이 사람과 컴퓨터 사이의 상호 작용을 극대화 할 수 있다. 그러나, 컨텍스트 정보는 서비스를 받고자 하는 도메인에 따라 시간에 따라 변화하는 환경에 따라 달라지므로 동적인 환경에 대처하기 위해서는 컨텍스트 정보를 관리할 수 있는 메타 데이터 모델이 요구된다. 본 논문에서는 컨텍스트 정보의 메타 데이터를 표현하기 위한 계층 구조인 C-A-V (class-attribute-value)구조를 제안한다. C-A-V구조는 '도메인-컨텍스트 메타 데이터 분류-컨텍스트 메타 데이터'로 각 레벨 별로 의미를 부여하였으며 레벨별로 다중 레벨을 포함하는 계층 모델이다. 제안한 모델은 도메인에 따라 컨텍스트 정보를 다양하게 구성할 수 있는 구조를 제공하였고 메타 데이터 레포지토리를 마스터 데이터와 인스턴스 데이터로 구분하여 동적 환경에 대응이 가능하도록 설계하였다. In ubiquitous computer environment, by improving the computer's access to context information for dynamic service adaptation, we can increase richness of communication in human computer interaction and make it possible to produce more useful computational services. We need new data structure in order to flexible apply dynamic information to current context information repository and enhance the communication ability between human and computer. In this paper, we proposed to C-A-V (Category-Attribute-Value) context metadata structure required to support dynamic service adaptation for increasing communication ability in user-centric environments. We also classify the context metadata, as well as define its relationship with other context information on the basis of the application services, changes in the external environments.

Introduction to the Special Issue on Psychological Benchmarks of Human–Robot Interaction

The idea for this special issue took shape during discussions on the prospects for using technology to simulate nature and, in particular, the human form. Could it be possible to devise an artificial human being? The computer scientist and robotic engineer, with such ambitions, can reply: “Sure, just give us major funding, say a half billion dollars, and 30 years, and we’ll show you how.” The skeptic can reply, “You’re kidding, right?” Along these lines, debates have raged in the philosophy of mind and cognitive science on whether anything like present day computers could implement a conscious mind, one that could experience what it’s like to be human. Moreover, because it is unclear even what makes us conscious, this problem is likely to remain a hard one for years to come. Nevertheless, we can reframe what a human being is from the standpoint of human attribution. If the technologist insists that it will eventually be possible to build an artificial human being, it is important to determine what would count as one in our own estimation, taking a view from the outside. The question then becomes: What are the benchmarks — categories of interaction that capture fundamental aspects of human life — by which we could measure progress toward this goal? Getting the right set of benchmarks then becomes critical for the emerging field of human–robot interaction (HRI). The benchmarks can help establish the questions the field asks in setting its research agenda, determining where funding is directed, and shaping how graduate students are educated. The right set of benchmarks will also be important to other disciplines, such as comparative psychology, and to meeting the long-term needs of society in areas such as nursing, eldercare, and social work. To these ends, Peter H. Kahn, Jr. and his colleagues proposed six benchmarks in a paper he showed Kerstin Dautenhahn, who was then organizing the 15th IEEE International Symposium on Robot and Human Interactive Communication

Communicating affection: interpersonal behavior and social context

1. An introduction to affectionate communication 2. Thinking about affection: the theories 3. Encoding affectionate messages 4. Decoding and responding to affectionate expressions 5. Benefits of expressing and receiving affection 6. Risks associated with affectionate communication 7. A new theoretic approach 8. Affectionate communication in human interaction.

14th IEEE International Workshop on Robot and Human Interactive Communication

No abstract available.

Gaze and Mutual Gaze

One of the first psychologists to investigate experimentally the role of gaze in human behaviour was Michael Argyle. In 1963 he set up a research group at Oxford with Ted Crossman and Adam Kendon, to study non-verbal communication in human social interaction, which included gaze as an important aspect of this behaviour. Shortly afterwards, Mark Cook joined this group which was funded until 1975, during which time considerable research on gaze had been carried out both at Oxford and elsewhere. This book summarises much of the work done in this field up until that time.