Exploring the Physiological Basis of Emotional HRI Using a BCI Interface

Val-Calvo, Mikel; Murcia, María Dolores Grima; Sorinas, Jennifer; Sánchez, José Luis Guzmán; López, Félix de la Paz; Vicente, José Manuel Ferrández; Fernández, Eduardo

doi:10.1007/978-3-319-59740-9_27

Cited by 1 publication

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, Pepper is a small humanoid robot, which is provided with microphones, 3D sensors, touch sensors, gyroscope, RGB camera, and touch screen placed on the chest of the robot, among other sensors. Through the ALMood Module, Pepper is able to process perceptions from sensors (e.g., interlocutors' gaze, voice intonation, or linguistic semantics of speech) to provide an estimation of the instantaneous emotional state of the speaker, surrounding people, and ambiance mood [42,43]. However, Pepper communication and its emotional expression is mainly carried out through speech consequence of limitations such as a static face, unrefined gestures, and other nonverbal cues, which are not as flexible as human standards [44], for instance while we consider Figure 4, which is a picture displaying a sad Pepper.…”

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%

See 1 more Smart Citation

Emoji as a Proxy of Emotional Communication

Santamaría-Bonfil¹,

Toledano-López²

2020

Becoming Human With Humanoid - From Physical Interaction to Social Intelligence

View full text Add to dashboard Cite

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.

show abstract

Section: Embodied Service Robots Study Casesmentioning

confidence: 99%