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This chapter describes a case study of a multidisciplinary approach to the complex social issue of teaching English to multilingual tertiary students in a pluralistic context. It does this by advancing an innovative multilingual pedagogy combining specific aspects of Commedia dell’Arte (Di Niro) and translanguaging (Viljoen) to cross boundaries between languages and cultures for effectively teaching. This is achieved through an examination of Di Niro’s course structure, written reflections and observations of teaching students “English for Business Studies” at the University of South Australia (UniSA). Reflections are arranged and interpreted around three themes: multilingualism, game play, and physicality/embodied learning. Following O’Neill and Viljoen (2021, p. 1), the authors argue that “such reflection is not simply contemplative, but involves dynamic, transforming and reflexive processes of accessing” the lived-experience of language and culture of the teacher and students in an engaged and responsive learning dialogue. Commedia dell’Arte includes multilingualism, improvisation, gesture, role-play and extending students to develop socio-political dialogue. Translanguaging involves foregrounding and affirming the home language of multilingual students of English while also developing their English. Blending these methodologies and methods enables the authors to simultaneously address practical and theoretical aspects of teaching in a multilingual classroom.

One out of four foodservice employees speaks a foreign language at home. Furthermore, 37 percent of those employees speak limited English. Given this, hospitality managers must find ways to effectively communicate with their employees. This paper seeks to address these issues.

The methodology employed a perspective‐taking manipulation. Participants were placed in the role of an individual that does not speak the native language that is used in the workplace. Groups were measured on performance, quality, and accuracy. Groups were video‐taped to measure frequency of non‐verbal behaviors. Participants were surveyed to measure their levels of positivity.

The results of this study identified effective non‐verbal communication strategies for managers (combination of gestures, demonstrating, and pointing). When the leader used these strategies, the groups were able to complete the recipes faster. Managers who spoke another language expressed a more positive behavior towards the group. The group also expressed more positive behaviors towards each other when they had a second language leader.

A limitation is that data were collected from students and the methodology simulated an environment of limited language proficiency. Although this method has been shown to be effective, the true experiences of what non‐English speaking workers might face include more complex processes.

This research suggests that non‐verbal tools are effective when communication barriers exist. Managers who are multiculturally competent are more efficient in leading employees. Positive feedback must be given even if it is non‐verbal.

This research offers valuable strategies for hospitality managers to communicate with those employees who speak limited English.

This study aims to analyze the most effective type of emoji for deriving positive marketing results by determining whether the relationship between brand attitude, brand attachment and purchase intention is moderated by the various types of prosocial expression-based brand emojis used.

An online survey was administered to Koreans in their 20s. Starbucks brand emojis were classified into three types: static gesture, animated gesture and a combined animated gesture and displayed word. A moderated–mediation analysis was performed to verify the research hypotheses. Gender, age, region of residence, frequency of Starbucks use and Starbucks favorability were used as control variables.

Animations in emojis were shown to strengthen the marketing effect. Further, combining animated prosocial gestures and displayed words had a more positive marketing effect than merely applying animated prosocial gestures.

This study closely examined the role of verbal, in the form of colloquial words, and nonverbal aspects, in the form of emojis, in the creation of positive business outcomes. Additionally, the positive marketing effect of animated emojis is discussed from a mechanistic point of view by linking research results to those in the field of neuroscience (mirroring by mirror neurons).

The purpose of this paper is to deal with a method for gesture encoding and reproduction, particularly aiming at a text‐to‐gesture (TTG) system that enables robotic agents to generate proper gestures automatically and naturally in human‐robot interaction.

Reproducing proper gestures, naturally synchronized with speech, is important under the TTG concept. The authors first introduce a gesture model that is effective to abstract and describe a variety of human gestures. Based on the model, a gesture encoding/decoding scheme is proposed to encode observed gestures symbolically and parametrically and to reproduce robot gestures from the codes. In particular, this paper mainly addresses a gesture scheduling method that deals with the alignment and refinement of gestural motions, in order to reproduce robotic gesticulation in a human‐like, natural fashion.

The proposed method has been evaluated through a series of questionnaire surveys, and it was found that reproduced gestures by a robotic agent could appeal satisfactorily to human beings.

This paper provides a series of algorithms to treat overlapped motions and to refine the timing parameters for the motions, so that robotic agents reproduce human‐like, natural gestures.

Purpose – The purpose of this chapter is to be as comprehensive as possible about what is known about mirror neurons at this time.

Design/methodology/approach – This chapter offers a comprehensive critique including Churchland's hesitations about findings on mirror neurons (2011) which are balanced by Ramachandran's conviction that much of the research on mirror neurons is valid (2011). Following this is a summary of the results of the Mirror Neuron Forum (2011) wherein leading mirror neuron researchers exchange their views and conclusions about this subject.

Findings – The few single cells measures that we have show that they are much wider distributed throughout the brain than we have previously imagined. It should be stressed that single measures of mirror neurons have occurred albeit in limited situations. This establishes once and for all their relevance to humans.

Originality/value – The work on mirror neurons is a critical contribution from neuroscience to bringing the social brain into sociology and refining our understandings of intersubjectivity and of our biologically driven connections with others.

Achieving natural interactions by means of vision and speech between humans and robots is one of the major goals that many researchers are working on. This paper aims to describe a gesture‐based human‐robot interaction (HRI) system using a knowledge‐based software platform.

A frame‐based knowledge model is defined for the gesture interpretation and HRI. In this knowledge model, necessary frames are defined for the known users, robots, poses, gestures and robot behaviors. First, the system identifies the user using the eigenface method. Then, face and hand poses are segmented from the camera frame buffer using the person's specific skin color information and classified by the subspace method.

The system is capable of recognizing static gestures comprised of the face and hand poses, and dynamic gestures of face in motion. The system combines computer vision and knowledge‐based approaches in order to improve the adaptability to different people.

Provides information on an experimental HRI system that has been implemented in the frame‐based software platform for agent and knowledge management using the AIBO entertainment robot, and this has been demonstrated to be useful and efficient within a limited situation.