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Recent studies have shown that autistic children tend to speak and interact more with an interactive robot. Unfortunately, due to the high deployment cost, many robotic experiments were still conducted in highly controlled clinical or home settings. Hence, a low cost robot needs to be designed to benefit families with autistic children. In Summer 2014, we have designed a low cost robot, LILI version...
The artificial companion conversation (ACC) will play an important supporting technique for foremost challenges of our society. In this paper, we introduce an implementation of ACC on Android-based robot. The proposed architecture is designed for human to machine interaction which supports speech interaction, vision interaction with face and expression recognition, and knowledge learning and planning...
In this paper, the problem of speech recognition in noise is considered. The focus of this project was developing a system that uses voice instructions to control a robot in a noisy environment. Speech enhancement of the noisy speech takes place through the use of a Kalman filter, which provides a significant improvement in the quality and intelligibility of the signal. Speech recognition takes place...
This paper describes a semi-blind speech enhancement method using a semi-blind recurrent neural network (SB-RNN) for human-robot speech interaction. When a robot interacts with a human using speech signals, the robot inputs not only audio signals recorded by its own microphone but also speech signals made by the robot itself, which can be used for semi-blind speech enhancement. The SB-RNN consists...
In our previous study, we performed the analysis of pupil response during his or her utterance by using a pupil measurement device and demonstrated that speaker's pupil response dilates with synchronization to the burst-pause of utterance. In addition, we developed a pupil response robot called “Pupiloid” that generates the pupil response with mechanical structure, and demonstrated that the pupil...
Question-answering (QA) systems have recently shown impressive results in terms of accurately answering user questions in such situations as domain specific user questions. However, we have identified many real situations where QA systems must cope with not a single question-answering situation but rather a sequence of consecutive questions. In such cases, users often ask questions on the basis of...
Autism Spectrum Disorder (ASD) is a group of neurodevelopmental disorders. Autistic children experience challenges in three important areas: social communication, social interaction and repetitive behavior. Robots have become tools to support therapists in autism therapy. Toward integrating social interaction and communication in robot-assisted autism therapy, the robot should have speech recognition...
Many applications in audio signal processing require a precise identification of time frames where a predefined target source is active. In previous work, Artificial Neural Networks (ANNs) with crosscorrelation features showed a considerable potential in this field. In this paper, the performance of ANN-based target activity detection is analyzed in more detail and compared with a well-performing...
Based on a user study, we start from the observation that ‘long turns’ uttered by users towards an assistive system constitute a challenge for the dialog management of a voice-operated system. Assuming an interactional perspective, we address the question as to how ‘long turns’ emerge in interaction. We suggest to conceive of these utterances as being co-constructed by both, the user and the multimodal...
Nowadays, robots are gradually appearing in public spaces such as libraries, train stations, airports and shopping centres. Only a limited percentage of research literature explores robot applications in public spaces. Studying robot applications in the wild is particularly important for designing commercially viable applications able to meet a specific goal. Therefore, in this paper we conduct an...
Natural language user interfaces, such as Apple Siri and Google Voice Search have been embedded in consumer devices; however, speaking to objects can feel awkward. Use of these interfaces should feel natural, like speaking to a real listener. This paper proposes a method for manufactured objects such as anime figures to exhibit highly realistic behavioral expressions to improve speech interaction...
Humans often use indirect speech acts (ISAs) when issuing directives. Much of the work in handling ISAs in computational dialogue architectures has focused on correctly identifying and handling the underlying non-literal meaning. There has been less attention devoted to how linguistic responses to ISAs might differ from those given to literal directives and how to enable different response forms in...
Generation gap can make communication difficult, even within a family. Each family member has a preferred style of communication. To address this, we proposed a shared-agent system for encouraging remote communication between family members. This paper reports the results of a pilot study, in which a prototype robot interface was evaluated, and the acceptance of asynchronous communication by elderly...
Robots deployed in public spaces must necessarily deal with situations that demand them to engage humans in a socially and culturally appropriate manner. However, social environments are often complex and ambiguous: many queries to the robot are collaborative (e.g. a family), and in case of conflicting queries, social robots need to participate in value decisions and negotiating multi-party interactions...
In this paper we investigate robot to human Interpersonal Emotion Transfer (IET) in a real world contextualised human-robot interaction (HRI). IET is an umbrella term which describes the impact of emotions in human-human interaction (HHI). This includes emotion contagion and social appraisal effects. These effects are particularly relevant in domains such as teaching, sports, exercise and healthy...
In speech based technical systems, a ‘reprompt’ can be deployed as a verbally non-explicit and semantically unspeciflc practice of making a failure-to-understand transparent. Users' repeats or rephrasings of their previous answers might lead to further non-understandings, resulting in further reprompts by the system. On the basis of a Wizard-of-Oz video corpus in a schedule management setting with...
Intimate relationships are crucially important in all human societies, yet many relationships are in some degree of distress. Couple psychotherapy has been demonstrated to be effective at reducing relationship distress, yet most couples do not seek help from professionals. Automated couples counselors could provide help to many couples who avoid professional help due to cost, logistics, or discomfort...
Allowing humans to teach robot behaviors will facilitate acceptability as well as long-term interactions. Humans would mainly use speech to transfer knowledge or to teach highlevel behaviors. In this paper, we propose a proof-of-concept application allowing a Pepper robot to learn behaviors from their natural-language-based description, provided by naive human users. In our model, natural language...
Mass casualty events caused by a biological weapon require fully capable first response teams. However, human first responders are equipped with protective gear, which limits their capabilities to complete tasks. Robots can be employed to work collaboratively with the first responders in order to augment the human's reduced abilities. The robot needs to understand and adapt to the human's workload...
Collecting training data is not an easy task especially in situation involving robots that require tremendous physical effort. The ability to augment data through synthetic means is a convenient tool to solve this problem. Therefore it is important to evaluate the extent of the usefulness of augmented data. In this paper, we will explore data augmentation schemes in reverberant environment and investigate...
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