Interaction Studies - Volume 21, Issue 2, 2020

Abstract

This paper investigates whether the gender and/or age of interviewees in dyadic interviews influences frequency of speech interruption of young female interviewers. Forty female students at King Faisal University (KFU) and forty interviewees participated in the study. The author compared the number of interruptions per ten minutes of conversation made by interviewees belonging to four categories: young females, young males, older females, and older males. The author hypothesized that older male interviewees interrupt young female interviewers more than younger male and female interviewees. Additionally, the author hypothesized that older female interviewees interrupt young female interviewers more than young female interviewees. The results did not support the hypothesis that males interrupt females more often. Female participants made significantly more interruptions than male participants. The data do not support the hypothesis that older interviewees interrupt their interviewers more frequently than younger interviewees.

Abstract

This research examines wearable, fashionable interaction design to mediate the narrative and semiotic concepts found in technology and fashion. We discuss the principles of design anthropology using Taiwan proverbs to transmit the “people-situation-reason-object” method and analyze five case studies that provide new approaches for designers engaged in future industry. Design anthropology attempts to engage physiological and psychological design through technological function, meaning formation, and fashion aesthetics to achieve cognition between people and the environment. The wearable, fashionable interaction displays characteristics of narrative and semantics transmitted through craft culture as well as collective, cheerful, and creative performance. It is a confident and innovative attempt, which bears a joyful and fundamental interface. This study takes two directions, with cultural thinking serving as the basis to establish a set of traditional craft designs and interactive objects that assist designers in using the senses to inform and initiate new lifestyle values.

Abstract

Robots are versatile devices that are promising tools for supporting teaching and learning in the classroom or at home. In fact, robots can be engaging and motivating, especially for young children. This paper presents an experimental study with 81 kindergarten children on memorizations of two tales narrated by a humanoid robot. The variables of the study are the content of the tales (knowledge or emotional) and the different social behaviour of the narrators: static human, static robot, expressive human, and expressive robot. Results suggest a positive effect of the expressive behaviour in robot storytelling, whose effectiveness is comparable to a human with the same behaviour and better when compared with a static inexpressive human. Higher efficacy is achieved by the robot in the tale with knowledge content, while the limited capability to express emotions made the robot less effective in the tale with emotional content.

Abstract

In recent years the possibility of using humanoid robots to perform interviews with children has been explored in a number of studies. This paper details a study in which a potential real-world user trialled a Robot-Mediated Interviewing system with children to establish if this approach could realistically be used in a real-world context. In this study a senior educational psychologist used the humanoid robot Kaspar to interview ten primary school children about a video they had watched prior to the interview. We conducted a pre and post interview with the educational psychologist before and after using the system to establish how the system worked for him and the perceived potential for real-world applications. The educational psychologist successfully used the system to interview the children and believed that principally using a small humanoid robot to interview children could be useful in a real-world setting provided the system was developed further.

Abstract

This article presents an applied discussion of the possibility of integrating conversation analysis (CA) methodology into that of machine learning. The aim is to improve the detection of that which resembles disengagement in the interaction between a robot and a human. We offer a novel analytical assemblage at the heart of the two disciplines, and namely on the level of the annotation schemes provided by conversation analysis transcription methods. First, we demonstrate that the need for a stable structure in establishing an interaction scenario and in designing robot behaviours does not prevent the emergence of ordinariness or creativity among the participants engaged in this interaction. Secondly, based on an actual case, we emphasize the possibility of systematicness in CA transcription to support the choice (a) of the categories targeted by prediction methods and defined by the annotation scheme, and (b) of the verbal and non-verbal features used to create prediction models.

This article reviews Interactional linguistics: an introduction to language in social interaction

This article reviews Sensory Linguistics: Language, Perception and Metaphor