Human-Robot Dialogues for Explaining Activities (original) (raw)

How Do People Talk with a Robot? An Analysis of Human-Robot Dialogues in the Real World

This paper reports the preliminary results of a human- robot dialogue analysis in the real world with the goal of understanding users’ interaction patterns. We analyzed the dialogue log data of Roboceptionist, a robotic receptionist located in a high-traffic area in an academic building [2][3]. The results show that (i) the occupation and background (persona) of the robot help people establish common ground with the robot, and (ii) there is great variability in the extent that users follow social norms of human-human dialogues in human-robot dialogues. Based on these results, we describe implications for designing the dialogue of a social robot.

Engagement during dialogues with robots

2005

This paper reports on our research on developing the ability for robots to engage with humans in a collaborative conversation. Engagement is the process by which two (or more) participants establish, maintain and end their perceived connection during interactions they jointly undertake. Many of these interactions are dialogues and we focus on dialogues in which the robot is a host to the human in a physical environment. The paper reports on human-human engagement and its appliction to a robot that collaborates with a human on a demonstration of equipment.

Social robots: Beyond tools to partners

2004

This paper presents our efforts towards building sociable autonomous robots that can work in collaboration with people. In teamwork, it is critical that a robot partner be able to infer and understand the human's goals and intentions in order to anticipate the person's needs and offer appropriate assistance in a timely manner. We present our framework for human-robot collaboration based on joint intention theory, and our initial efforts to develop a simulation-theoretic approach for anticipating the human partner's goals to proactively offer help. These abilities would enable many new and exciting applications for robots that require them to play a long-term, supportive, and helpful role in people's daily lives.

Social interaction with robots and agents: Where do we stand, where do we go

2009

Robots and agents are becoming increasingly prominent in everyday life, taking on a variety of roles, including helpers, coaches, and even social companions. A core requirement for these social agents is the ability to establish and maintain long-term trusting and engaging relationship with their human users. Much research has already been done on the prerequisites for these types of social agents and robots, in affective computing, social computing and affective HCI. A number of disciplines within psychology and the social sciences are also relevant, contributing theories, data and methods relevant for the emerging areas of social robotics, and social computing in general. The complexity of the task of designing these social agents, and the diversity of the relevant disciplines can be overwhelming. This paper provides a summary of a special session at ACII 2009 whose purpose was to provide an overview of the state-of-the-art in social agents and robots, and explore some of the fundamental questions regarding their development, and the evaluation of their effectiveness.

Social interaction with robots and agents: Where do we stand, where do we go?,” 2009

2016

Robots and agents are becoming increasingly prominent in everyday life, taking on a variety of roles, including helpers, coaches, and even social companions. A core requirement for these social agents is the ability to establish and maintain long-term trusting and engaging relationship with their human users. Much research has already been done on the prerequisites for these types of social agents and robots, in affective computing, social computing and affective HCI. A number of disciplines within psychology and the social sciences are also relevant, contributing theories, data and methods relevant for the emerging areas of social robotics, and social computing in general. However, the complexity of the task of designing these social agents, and the diversity of the relevant disciplines, can be overwhelming. This paper presents a summary of a special session at ACII 2009 whose purpose was to provide an overview of the state-of-the-art in social agents and robots, and to explore som...

Communication in Human-Robot Interaction

Current Robotics Reports

Purpose of Review To present the multi-faceted aspects of communication between robot and humans (HRI), putting in evidence that it is not limited to language-based interaction, but it includes all aspects that are relevant in communication among physical beings, exploiting all the available sensor channels. Recent Findings For specific purposes, machine learning algorithms could be exploited when data sets and appropriate algorithms are available. Summary Together with linguistic aspects, physical aspects play an important role in HRI and make the difference with respect to the more limited human-computer interaction (HCI). A review of the recent literature about the exploitation of different interaction channels is presented. The interpretation of signals and the production of appropriate communication actions require to consider psychological, sociological, and practical aspects, which may affect the performance. Communication is just one of the functionalities of an interactive robot and, as all the others, will need to be benchmarked to support the possibility for social robots to reach a real market.

A Review on The Development and Effect of Conversational Agents and Social Robots

HCI addresses to the concept of Human-Machine communication through including but not limited to AI-enabled embodied conversational software agents. The emergence of these agents has changed the history of computing and robotics once and for all. One of the most prominent social and intellectual qualities in humans is the ability to have conversations. Typically, a conversation takes place between people through verbal and non-verbal mediums. Languages play a vital role in these communications and conversations. Humanness and human-like interaction qualities are found to be in the core of the human-computer interface designs from the beginning of this research doctrine [1]. Programming languages has enabled computer scientists to establish a connection between humans and machines that enables the machine to understand the instructions given. However, the widespread use of cell phones, computers and other smart gadgets has clearly made it a demand of time that the machines used today can understand the commands given in natural languages (i.e. English, German, Spanish, etc.) as the user set is not limited to the computer scientists anymore[1]. Hence, robotics, natural language processing, machine learning, artificial intelligence, etc. has combined force to bridge the communication gap between the machines and the users. From ELIZA [3], Rea [4] to Siri, Amazon Alexa or Google assistant, the software interfaces has come a long way through a lengthy development process. They have proven to have enough influence to change the social, economic and political outcomes through their intelligent behavior [2]. The boundary between human-like and bot-like behavior is greyer then it is black and white [2]. The software interfaces has changed their appearance over the time by stripping down from the ideals of face-to-face conversations. The chatbots (i.e. Twitter bots) found online has developed different social media ecosystems [2] where humans and robots interact with each other in the same plane. To have a conversation or interaction with the machines humans are being trained to accept and use a new set of vocabularies [1]. In this paper, I would like to discuss how these conversational agents and social robots are shaping our social media ecosystems. I will revisit the interrelation between humans and machines while focusing on the socio-cultural impact of these robots into our IoT –enabled smart homes and online virtual spaces.