scholarly journals Generation of Head Movements of a Robot Using Multimodal Features of Peer Participants in Group Discussion Conversation

2020 ◽  
Vol 4 (2) ◽  
pp. 15
Author(s):  
Hung-Hsuan Huang ◽  
Seiya Kimura ◽  
Kazuhiro Kuwabara ◽  
Toyoaki Nishida
Keyword(s):  
Communication Skills ◽  
Research Question ◽  
Group Discussion ◽  
Attentional Focus ◽  
Head Movements ◽  
Support Vector ◽  
Group Discussions ◽  
Multimodal Features ◽  
Significant Difference ◽  
Behavior Frequency

In recent years, companies have been seeking communication skills from their employees. Increasingly more companies have adopted group discussions during their recruitment process to evaluate the applicants’ communication skills. However, the opportunity to improve communication skills in group discussions is limited because of the lack of partners. To solve this issue as a long-term goal, the aim of this study is to build an autonomous robot that can participate in group discussions, so that its users can repeatedly practice with it. This robot, therefore, has to perform humanlike behaviors with which the users can interact. In this study, the focus was on the generation of two of these behaviors regarding the head of the robot. One is directing its attention to either of the following targets: the other participants or the materials placed on the table. The second is to determine the timings of the robot’s nods. These generation models are considered in three situations: when the robot is speaking, when the robot is listening, and when no participant including the robot is speaking. The research question is: whether these behaviors can be generated end-to-end from and only from the features of peer participants. This work is based on a data corpus containing 2.5 h of the discussion sessions of 10 four-person groups. Multimodal features, including the attention of other participants, voice prosody, head movements, and speech turns extracted from the corpus, were used to train support vector machine models for the generation of the two behaviors. The performances of the generation models of attentional focus were in an F-measure range between 0.4 and 0.6. The nodding model had an accuracy of approximately 0.65. Both experiments were conducted in the setting of leave-one-subject-out cross validation. To measure the perceived naturalness of the generated behaviors, a subject experiment was conducted. In the experiment, the proposed models were compared. They were based on a data-driven method with two baselines: (1) a simple statistical model based on behavior frequency and (2) raw experimental data. The evaluation was based on the observation of video clips, in which one of the subjects was replaced by a robot performing head movements in the above-mentioned three conditions. The experimental results showed that there was no significant difference from original human behaviors in the data corpus and proved the effectiveness of the proposed models.

Task-independent Recognition of Communication Skills in Group Interaction Using Time-series Modeling

2021 ◽  
Vol 17 (4) ◽  
pp. 1-27
Author(s):  
Candy Olivia Mawalim ◽  
Shogo Okada ◽  
Yukiko I. Nakano
Keyword(s):  
Time Series ◽  
Communication Skills ◽  
Prediction Models ◽  
Short Term Memory ◽  
Group Discussion ◽  
Task Type ◽  
Support Vector ◽  
Time Series Modeling ◽  
Group Discussions ◽  
Multimodal Analysis

Case studies of group discussions are considered an effective way to assess communication skills (CS). This method can help researchers evaluate participants’ engagement with each other in a specific realistic context. In this article, multimodal analysis was performed to estimate CS indices using a three-task-type group discussion dataset, the MATRICS corpus. The current research investigated the effectiveness of engaging both static and time-series modeling, especially in task-independent settings. This investigation aimed to understand three main points: first, the effectiveness of time-series modeling compared to nonsequential modeling; second, multimodal analysis in a task-independent setting; and third, important differences to consider when dealing with task-dependent and task-independent settings, specifically in terms of modalities and prediction models. Several modalities were extracted (e.g., acoustics, speaking turns, linguistic-related movement, dialog tags, head motions, and face feature sets) for inferring the CS indices as a regression task. Three predictive models, including support vector regression (SVR), long short-term memory (LSTM), and an enhanced time-series model (an LSTM model with a combination of static and time-series features), were taken into account in this study. Our evaluation was conducted by using the R 2 score in a cross-validation scheme. The experimental results suggested that time-series modeling can improve the performance of multimodal analysis significantly in the task-dependent setting (with the best R 2 = 0.797 for the total CS index), with word2vec being the most prominent feature. Unfortunately, highly context-related features did not fit well with the task-independent setting. Thus, we propose an enhanced LSTM model for dealing with task-independent settings, and we successfully obtained better performance with the enhanced model than with the conventional SVR and LSTM models (the best R 2 = 0.602 for the total CS index). In other words, our study shows that a particular time-series modeling can outperform traditional nonsequential modeling for automatically estimating the CS indices of a participant in a group discussion with regard to task dependency.

scholarly journals Peculiarities of youth volunteering in modern Russia: on the path to making socially important decisions

2020 ◽  
pp. 123-134
Author(s):  
Alexandra Gennadyevna Filipova ◽  
Oksana Gennad'evna Zubova
Keyword(s):  
Young People ◽  
Empirical Data ◽  
Social Life ◽  
Research Question ◽  
Group Discussion ◽  
Group Discussions ◽  
Main Method ◽  
Volunteer Activity ◽  
Volunteer Organizations

This article reviews volunteering as one of the forms of participation of youth in making socially important decisions. Volunteering forms the culture of engagement in social life that contributes to consolidation of civil initiatives and democratic values. Teenagers and youth can also participate in improvement of their living conditions and defend their interests via volunteer activity. The key research question is associated with seeking the ways by teenagers and youth to express their opinion through volunteering, and consideration of that opinion by the leaders of volunteer organizations. Group discussion served as the main method for obtaining empirical data; total of 5 group discussions with young people aged 16-18 were held. Roger Hart's Ladder of Children's Participation was applied in the course of this research. Alongside determination of the “level” of engagement of young volunteers as a ratio of personal initiatives and decisions of the adults organizers, the author determines the two lines of analysis – transformation of volunteering during the COVID-19 pandemic and trends of volunteer activity in ten years from now. Group discussions with young people allowed concluding that volunteering, as any other activity organized by adults, indicates the lack of freedom for young people to show their initiatives and participate in making socially important decisions. Pseudo-participation is especially evident in school volunteering.

scholarly journals ORDINATORS REPRESENTATIONS ABOUT DOCTOR'S COMMUNICATIVE SKILLS

2021 ◽  
Vol 10 (34) ◽  
Author(s):  
M.I TOMILOVA ◽  
◽  
O.A KHARKOVA ◽  
Keyword(s):  
Communication Skills ◽  
Research Question ◽  
Group Discussion ◽  
Skills Training ◽  
Medical Consultation ◽  
Physician Communication ◽  
Communication Skills Training ◽  
Communicative Skills ◽  
Medical University ◽  
Validation Strategy

Purpose: to describe the residents’ views about the communication skills of a doctor. Research question: What are the residents' perceptions of physician communication skills from the perspective of the Calgary-Cambridge Model of Medical Consultation? Methods: Qualitative Research. The data collection method was a focus group discussion. The study used qualitative-quantitative deductive content analysis and used OpenCode 4.02 to encode and categorize text units. Analytical triangulation served as a data validation strategy. Results: The study found that residents had an idea of the communication skills required by a doctor at all stages of a medical consultation using the Calgary-Cambridge model. Informants are most knowledgeable about the skills in the "start consultation", "examination" and "explain and planning" phases. Residents' knowledge of the communication skills required by the doctor at the “information gathering” and “consultation completion” stages is virtually non-existent. Practical relevance: the research results can be used in the design of communication skills training programs in a medical university.

scholarly journals Look out: an exploratory study assessing how gaze (eye angle and head angle) and gait speed are influenced by surface complexity

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8838
Author(s):  
Nicholas D.A. Thomas ◽  
James D. Gardiner ◽  
Robin H. Crompton ◽  
Rebecca Lawson
Keyword(s):  
Eye Movements ◽  
Gait Speed ◽  
Exploratory Study ◽  
Research Question ◽  
Head Movements ◽  
Measurement Unit ◽  
Future Research ◽  
Head Orientation ◽  
Complex Surfaces ◽  
Significant Difference

Background Most research investigating the connection between walking and visual behaviour has assessed only eye movements (not head orientation) in respect to locomotion over smooth surfaces in a laboratory. This is unlikely to reflect gaze changes found over the complex surfaces experienced in the real world, especially given that eye and head movements have rarely been assessed simultaneously. Research question How does gaze (eye and head) angle and gait speed change when walking over surfaces of different complexity? Methods In this exploratory study, we used a mobile eye tracker to monitor eye movements and inertia measurement unit sensors (IMUs) to measure head angle whilst subjects (n = 11) walked over surfaces with different complexities both indoors and outdoors. Gait speed was recorded from ankle IMUs. Results Overall, mean gaze angle was lowest over the most complex surface and this surface also elicited the slowest mean gait speed. The head contributed increasingly to the lowering of gaze with increased surface complexity. Less complex surfaces showed no significant difference between gaze and gait behaviour. Significance This study supports previous research showing that increased surface complexity is an important factor in determining gaze and gait behaviour. Moreover, it provides the novel finding that head movements provide important contributions to gaze location. Our future research aims are to further assess the role of the head in determining gaze location during locomotion across a greater range of complex surfaces to determine the key surface characteristics that influence gaze during gait.

INITIAL STEP OF SPECIALIZED CORPORA BUILDING: CLEANING PROCEDURES

2020 ◽  
Author(s):  
Vera Yakubson ◽  
Victor Zakharov
Keyword(s):  
Text Processing ◽  
Research Question ◽  
Initial Step ◽  
Main Research ◽  
Academic Texts ◽  
Linguistic Annotation ◽  
Significant Difference ◽  
Cleaning Procedures ◽  
Unique Source ◽  
Future Work

This paper deals with the specialized corpora building, specifically academic language corpus in the biotechnology field. Being a part of larger research devoted to creation and usage of specialized parallel corpus, this piece aims to analyze the initial step of corpus building. Our main research question was what procedures we need to implement to the texts before using them to develop the corpus. Analysis of previous research showed the significant quantity of papers devoted to corpora creation, including academic specialized corpora. Different sides of the process were analyzed in these researches, including the types of texts used, the principles of crawling, the recommended length of texts etc. As to the text processing for the needs of corpora creation, only the linguistic annotation issues were examined earlier. At the same time, the preliminary cleaning of texts before their usage in corpora may have significant influence on the corpus quality and its utility for the linguistic research. In this paper, we considered three small corpora derived from the same set of academic texts in the biotechnology field: “raw” corpus without any preliminary cleaning and two corpora with different level of cleaning. Using different Sketch Engine tools, we analyzed these corpora from the position of their future users, predominantly as sources for academic wordlists and specialized multi-word units. The conducted research showed very little difference between two cleaned corpora, meaning that only basic cleaning procedures such as removal of reference lists are can be useful in corpora design. At the same time, we found a significant difference between raw and cleaned corpora and argue that this difference can affect the quality of wordlists and multi-word terms extraction, therefore these cleaning procedures are meaningful. The main limitation of the study is that all texts were taken from the unique source, so the conclusions could be affected by this specific journal’s peculiarities. Therefore, the future work should be the verification of results on different text collections

Fostering climate change consensus: The role of intimacy in group discussions

2021 ◽  
pp. 096366252110206
Author(s):  
Lyn M. van Swol ◽  
Emma Frances Bloomfield ◽  
Chen-Ting Chang ◽  
Stephanie Willes
Keyword(s):  
Climate Change ◽  
Group Discussion ◽  
Group Consensus ◽  
Group Discussions ◽  
Self Disclosure ◽  
Group Attraction ◽  
Climate Change Information ◽  
To Come ◽  
Collective Engagement

This study examined if creating intimacy in a group discussion is more effective toward reaching consensus about climate change than a focus on information. Participants were randomly assigned to either a group that spent the first part of an online discussion engaging in self-disclosure and focusing on shared values (intimacy condition) or discussing information from an article about climate change (information condition). Afterward, all groups were given the same instructions to try to come to group consensus on their opinions about climate change. Participants in the intimacy condition had higher ratings of social cohesion, group attraction, task interdependence, and collective engagement and lower ratings of ostracism than the information condition. Intimacy groups were more likely to reach consensus, with ostracism and the emotional tone of discussion mediating this effect. Participants were more likely to change their opinion to reflect that climate change is real in the intimacy than information condition.

Equal Performance, Different Grade: Women’s Performance in Discussion Perceived Worse Than Men’s

2021 ◽  
pp. 014616722199221
Author(s):  
Angela R. Dorrough ◽  
Monika Leszczyńska ◽  
Sandra Werner ◽  
Lovis Schaeffer ◽  
Anna-Sophie Galley ◽  
...  
Keyword(s):  
Group Discussion ◽  
Selection Procedure ◽  
Similar Degree ◽  
Female Group ◽  
Group Discussions ◽  
Work Related ◽  
Female Performance ◽  
Group Members ◽  
Hidden Profile ◽  
Perceived Helpfulness

We investigate how men and women are evaluated in group discussions. In five studies ( N = 761) using a variant of a Hidden Profile Task, we find that, when experimentally and/or statistically controlling for actual gender differences in behavior, the female performance in a group discussion is devalued in comparison to male performance. This was observed for fellow group members (Study 1) and outside observers (Studies 2–5), in both primarily student (Studies 1, 4, and 5) and mixed samples (Studies 2 and 3), for different measures of performance (perceived helpfulness of the contribution, for work-related competence), across different discussion formats (preformulated chat messages, open chat), and when controlling for the number of female group members (Study 5). In contrast to our hypothesis, we did not find a moderating effect of selection procedure in that women were devalued to a similar degree in both situations with a women’s quota and without.

COMPARISON OF ICTAL AND INTERICTAL EEG SIGNALS USING FRACTAL FEATURES

2013 ◽  
Vol 23 (06) ◽  
pp. 1350028 ◽  
Author(s):  
YU WANG ◽  
WEIDONG ZHOU ◽  
QI YUAN ◽  
XUELI LI ◽  
QINGFANG MENG ◽  
...  
Keyword(s):  
Feature Analysis ◽  
Support Vector ◽  
Eeg Analysis ◽  
Eeg Signals ◽  
Eeg Classification ◽  
Significant Difference ◽  
Interictal Eeg ◽  
Nonlinear Features ◽  
The Difference ◽  
Multi Scales

The feature analysis of epileptic EEG is very significant in diagnosis of epilepsy. This paper introduces two nonlinear features derived from fractal geometry for epileptic EEG analysis. The features of blanket dimension and fractal intercept are extracted to characterize behavior of EEG activities, and then their discriminatory power for ictal and interictal EEGs are compared by means of statistical methods. It is found that there is significant difference of the blanket dimension and fractal intercept between interictal and ictal EEGs, and the difference of the fractal intercept feature between interictal and ictal EEGs is more noticeable than the blanket dimension feature. Furthermore, these two fractal features at multi-scales are combined with support vector machine (SVM) to achieve accuracies of 97.58% for ictal and interictal EEG classification and 97.13% for normal, ictal and interictal EEG classification.

Directionality of cross-linguistic influence: Which referring choices do bilingual Ukrainian–English children make?

2016 ◽  
Vol 21 (1) ◽  
pp. 99-121 ◽  
Author(s):  
Roksolana Mykhaylyk ◽  
Elinor Ytterstad
Keyword(s):  
Language Development ◽  
Dual Language ◽  
Research Question ◽  
Age Groups ◽  
Direct Object ◽  
Object Language ◽  
Related Factors ◽  
Main Research ◽  
Null Object ◽  
Significant Difference

Aims and research questions: This paper presents a new study addressing the issue of cross-linguistic influence in acquisition of referring expressions. The main research question is how to predict directionality of this influence in a dual language development. Methodology: The method is an elicited production task. We consider the phenomenon of direct object referring choices, i.e. noun, pronoun and null element, in a ‘null-object’–‘overt-object’ language pair (Ukrainian and English). Data and Analysis: Participants of the experiment are 4–6-year-old Ukrainian–English bilinguals (N20) and Ukrainian monolinguals (N21). The data are analyzed in the statistical program R, utilizing the R-library function lme4. The results are presented as odds ratios (ORs) of each direct object type. Findings: Our data reveal that while there is no significant difference in Ukrainian object types in most of the age groups, there is a considerable amount of null object usage in English at the ages of four to five. Originality: The innovative nature of this study lies in: (i) the consideration of a licit object omission at a later stage of language development (from 4 to 6 years of age); (ii) the examination of an under-investigated language combination (i.e. English and Ukrainian); and (iii) the innovative approach to linguistic data analysis (e.g. comparing OR values). Implications: Our findings suggest that the directionality of influence in dual language acquisition depends on the developmental stage, language-specific means of syntax–pragmatics interaction, and extra-linguistic input-related factors. At the early stages of development, the null-object language is likely to influence the overt-object language, especially under conditions of limited exposure to the latter.

Group Discussion in a Blended Environment in Engineering Education

TEM Journal ◽  
2021 ◽  
pp. 508-516
Author(s):  
Deepti Mishra ◽  
Gonca Gokce Menekse Dalveren ◽  
Frode S. Volden ◽  
Carly Grace Allen
Keyword(s):  
Engineering Education ◽  
Group Process ◽  
Eye Gaze ◽  
Group Discussion ◽  
Group Discussions ◽  
Verbal Cues ◽  
Face To Face ◽  
Seating Arrangement ◽  
Key Factor ◽  
Group Members

Group work is a necessary element of engineering education and group members need information about one another, group process, shared attention and mutual understanding during group discussions. There are several important elements for establishing and maintaining a group discussion such as participant’s role, seating arrangement, verbal and non-verbal cues, eye gaze, gestures etc. The present study investigates these elements for identifying the behavior of group members in a blend of traditional face-to-face discussion along with computer supported cooperative work (CSCW) setting. The results of this study have shown that, speaking duration is the key factor for identifying the leadership in a group and participants mostly used eye gazes for turn taking. Although this study is a mix of face-to-face and CSCW discussion setting, participants mostly behave like faceto- face group discussion. However, unlike the previous studies involving face-to-face discussion, the relation between seating arrangement and amount of attention is not apparent from the data during this study.

Sign in / Sign up

Export Citation Format

Share Document