A Socially Interactive Robot Partner Using Content-Based Conversation System for Information Support

Woo, Jinseok; Botzheim, János; Kubota, Naoyuki

doi:10.20965/jaciii.2018.p0989

Cited by 13 publications

(6 citation statements)

References 26 publications

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“…Our conversation system is developing for modular cognitive model [21], and we discussed the structure of the conversation system for the iPhonoid related to different situations as illustrated in Figure 10 [ 26,27]. The basic robot conversation complements both predefined contents and contents from internet information such as a social network service [28].…”

Section: Conversation System For Human-robot Interactionmentioning

confidence: 99%

Robot Partner Development Platform for Human-Robot Interaction Based on a User-Centered Design Approach

2020

Self Cite

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This paper presents a robot partner development platform based on smart devices. Humans communicate with others based on the basic motivations of human cooperation and have communicative motives based on social attributes. Understanding and applying these communicative motives become important in the development of socially-embedded robot partners. Therefore, it is becoming more important to develop robots that can be applied according to needs while taking these human communication elements into consideration. The role of a robot partner is more important in not only on the industrial sector but also in households. However, it seems that it will take time to disseminate robots. In the field of service robots, the development of robots according to various needs is important and the system integration of hardware and software becomes crucial. Therefore, in this paper, we propose a robot partner development platform for human-robot interaction. Firstly, we propose a modularized architecture of robot partners using a smart device to realize a flexible update based on the re-usability of hardware and software modules. In addition, we show examples of implementing a robot system using the proposed architecture. Next, we focus on the development of various robots using the modular robot partner system. Finally, we discuss the effectiveness of the proposed robot partner system through social implementation and experiments.

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Section: Conversation System For Human-robot Interactionmentioning

confidence: 99%

Robot Partner Development Platform for Human-Robot Interaction Based on a User-Centered Design Approach

2020

Self Cite

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“…An important application of embodied service robots is the support of elder's daily activities to promote a healthy life style and providing them with an enriching companion. In such case, a more advanced interaction models for EAIE based on an emotional model, gestures, facial expressions, and R&E utterances are proposed [32, [35][36][37]. The authors of these works put forward several cost-efficient EIAE based on mobile device technologies namely iPhonoid, iPhonoid-C, and iPadrone.…”

Section: Embodied Service Robots Study Casesmentioning

confidence: 99%

“…Another interesting feature of the architecture of these EAIE is its conversational framework. In this sense, the usage of certain utterances, gestures, or facial expressions depends on conversation modes, which in turn depends on NLP processing for syntactic and semantic analyses [32,37]. Nevertheless, with regard to facial and gesture expressions, these works take them for granted and barely discuss both.…”

Section: Embodied Service Robots Study Casesmentioning

confidence: 99%

“…In summary, in the above revised EAIE cases (emoticon-based expression, iPadrone/iPhonoid, and Pepper), emotions are generated through an ad hoc architecture, which considers emotions and moods that are determined by multimodal data. A cartoon of these works is presented in Figure 5, displaying on (a) the work of [33] on (b) the work of [32, [35][36][37], and on (c) Pepper the robot as described in [42][43][44].…”

Section: Study Cases Through the Emoji Communication Lensmentioning

confidence: 99%

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Emoji as a Proxy of Emotional Communication

Santamaría-Bonfil¹,

Toledano-López²

2020

Becoming Human With Humanoid - From Physical Interaction to Social Intelligence

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Nowadays, emoji plays a fundamental role in human computer-mediated communications, allowing the latter to convey body language, objects, symbols, or ideas in text messages using Unicode standardized pictographs and logographs. Emoji allows people expressing more "authentically" emotions and their personalities, by increasing the semantic content of visual messages. The relationship between language, emoji, and emotions is now being studied by several disciplines such as linguistics, psychology, natural language processing (NLP), and machine learning (ML). Particularly, the last two are employed for the automatic detection of emotions and personality traits, building emoji sentiment lexicons, as well as for conveying artificial agents with the ability of expressing emotions through emoji. In this chapter, we introduce the concept of emoji and review the main challenges in using these as a proxy of language and emotions, the ML, and NLP techniques used for classification and detection of emotions using emoji, and presenting new trends for the exploitation of discovered emotional patterns for robotic emotional communication.

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“…A lot of research has been done to make HCI systems for controlling AVs. Woo et al [6] have worked on remote driving tools for AVs which are a collaboration between remote driving tools and sensor fusion displays. Xiao et al [7] have proposed sensor fusion methodologies while Poveda et al [8] have developed hybrid source seeking controllers specifically for AVs.…”

Section: Introductionmentioning

confidence: 99%

Passenger Communication System for Next-Generation Self-Driving Cars: A Buddy

Lodhi¹,

Riaz²,

Mehmood³

et al. 2020

IJACSA

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With the rapid emergence of autonomous vehicles, there is a need to build such communication systems which help the passengers to communicate with autonomous vehicles (AVs) robustly. In this regard, this research work presents a multimodal passenger communication system. The communication system is known as "buddy" for AVs. Buddy is an all in one control system for AVs which incorporates touch, speech, text, and emotion recognition methods of interaction. Buddy makes it easy for passengers to interact with AVs. It enables the communication between the passengers and the AV which eventually provides a safe driving experience. Moreover, we have proposed and developed our own simulator two evaluate the performance of our proposed passenger communication system. We have also conducted extensive infield-tests to test the effectiveness of the proposed system. The extensive rigor analysis validates the results and hence the significance of the proposed passenger communication system.

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A Socially Interactive Robot Partner Using Content-Based Conversation System for Information Support

Cited by 13 publications

References 26 publications

Robot Partner Development Platform for Human-Robot Interaction Based on a User-Centered Design Approach

Robot Partner Development Platform for Human-Robot Interaction Based on a User-Centered Design Approach

Emoji as a Proxy of Emotional Communication

Passenger Communication System for Next-Generation Self-Driving Cars: A Buddy

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