Nonverbal Conversation Research Articles

Factors Influencing the Acceptability, Acceptance, and Adoption of Conversational Agents in Health Care: Integrative Review.

Conversational agents (CAs), also known as chatbots, are digital dialog systems that enable people to have a text-based, speech-based, or nonverbal conversation with a computer or another machine based on natural language via an interface. The use of CAs offers new opportunities and various benefits for health care. However, they are not yet ubiquitous in daily practice. Nevertheless, research regarding the implementation of CAs in health care has grown tremendously in recent years. This review aims to present a synthesis of the factors that facilitate or hinder the implementation of CAs from the perspectives of patients and health care professionals. Specifically, it focuses on the early implementation outcomes of acceptability, acceptance, and adoption as cornerstones of later implementation success. We performed an integrative review. To identify relevant literature, a broad literature search was conducted in June 2021 with no date limits and using all fields in PubMed, Cochrane Library, Web of Science, LIVIVO, and PsycINFO. To keep the review current, another search was conducted in March 2022. To identify as many eligible primary sources as possible, we used a snowballing approach by searching reference lists and conducted a hand search. Factors influencing the acceptability, acceptance, and adoption of CAs in health care were coded through parallel deductive and inductive approaches, which were informed by current technology acceptance and adoption models. Finally, the factors were synthesized in a thematic map. Overall, 76 studies were included in this review. We identified influencing factors related to 4 core Unified Theory of Acceptance and Use of Technology (UTAUT) and Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) factors (performance expectancy, effort expectancy, facilitating conditions, and hedonic motivation), with most studies underlining the relevance of performance and effort expectancy. To meet the particularities of the health care context, we redefined the UTAUT2 factors social influence, habit, and price value. We identified 6 other influencing factors: perceived risk, trust, anthropomorphism, health issue, working alliance, and user characteristics. Overall, we identified 10 factors influencing acceptability, acceptance, and adoption among health care professionals (performance expectancy, effort expectancy, facilitating conditions, social influence, price value, perceived risk, trust, anthropomorphism, working alliance, and user characteristics) and 13 factors influencing acceptability, acceptance, and adoption among patients (additionally hedonic motivation, habit, and health issue). This review shows manifold factors influencing the acceptability, acceptance, and adoption of CAs in health care. Knowledge of these factors is fundamental for implementation planning. Therefore, the findings of this review can serve as a basis for future studies to develop appropriate implementation strategies. Furthermore, this review provides an empirical test of current technology acceptance and adoption models and identifies areas where additional research is necessary. PROSPERO CRD42022343690; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=343690.

Automated Gesture-Recognition Solutions using Optimal Deep Belief Network for Visually Challenged People

Gestures are a vital part of our communication. It is a procedure of nonverbal conversation of data which stimulates great concerns regarding the offer of human–computer interaction methods, while permitting users to express themselves intuitively and naturally in various contexts. In most contexts, hand gestures play a vital role in the domain of assistive technologies for visually impaired people (VIP), but an optimum user interaction design is of great significance. The existing studies on the assisting of VIP mostly concentrate on resolving a single task (like reading text or identifying obstacles), thus making the user switch applications for performing other actions. Therefore, this research presents an interactive gesture technique using sand piper optimization with the deep belief network (IGSPO-DBN) technique. The purpose of the IGSPO-DBN technique enables people to handle the devices and exploit different assistance models by the use of different gestures. The IGSPO-DBN technique detects the gestures and classifies them into several kinds using the DBN model. To boost the overall gesture-recognition rate, the IGSPO-DBN technique exploits the SPO algorithm as a hyperparameter optimizer. The simulation outcome of the IGSPO-DBN approach was tested on gesture-recognition dataset and the outcomes showed the improvement of the IGSPO-DBN algorithm over other systems.

Concurrent Assessment of Oxidative Stress and MT-ATP6 Gene Profiling to Facilitate Diagnosis of Autism Spectrum Disorder (ASD) in Tamil Nadu Population.

Autism spectrum disorder (ASD) is a neurodevelopmental disability that causes social impairment, debilitated verbal or nonverbal conversation, and restricted/repeated behavior. Recent research reveals that mitochondrial dysfunction and oxidative stress might play a pivotal role in ASD condition. The goal of this case-control study was to investigate oxidative stress and related alterations in ASD patients. In addition, the impact of mitochondrial DNA (mtDNA) mutations, particularly MT-ATP6, and its link with oxidative stress in ASD was studied. We found that ASD patient's plasma had lower superoxide dismutase (SOD) and higher catalase (CAT) activity, resulting in lower SOD/CAT ratio. MT-ATP6 mutation analysis revealed that four variations, 8865 G>A, 8684 C>T, 8697 G>A, and 8836 A>G, have a frequency of more than 10% with missense and synonymous (silent) mutations. It was observed that abnormalities in mitochondrial complexes (I, III, V) are more common in ASD, and it may have resulted in MT-ATP6 changes or vice versa. In conclusion, our findings authenticate that oxidative stress and genetics both have an equal and potential role behind ASD and we recommend to conduct more such concurrent research to understand their unique mechanism for better diagnosis and therapeutic for ASD.

Systematic Review: Where is Current Research on Conversational Analysis?

As social media and other new communication technologies are integrated into teaching and learning environments, educators and researchers continue to be interested in the discussion that takes place in such spaces. This paper reports the findings and the research gaps grounded from current research articles on conversation analysis (CA). The data is collected from international and highly reputable journal publishers, namely Science Direct, Elsevier, Sage, and Wiley. From the resulting 49 articles collected, the screening excluded 24 articles. Therefore, it is the remaining 25 articles that are systematically reviewed. The results indicate several themes throughout the current research field, i.e. digital CA, theory and methodology construction, body language or nonverbal conversation, atypical interaction, usage of specific phrases, and novel settings and objects. The practical implication of this systematic review is a collection of research gaps and recommendations that researchers can take note of and tackle in future studies.

End-to-End Listening Agent for Audiovisual Emotional and Naturalistic Interactions

In this work, we established the foundations of a framework with the goal to build an end-to-end naturalistic expressive listening agent. The project was split into modules for recognition of the user’s paralinguistic and nonverbal expressions, prediction of the agent’s reactions, synthesis of the agent’s expressions and data recordings of nonverbal conversation expressions. First, a multimodal multitask deep learning-based emotion classification system was built along with a rule-based visual expression detection system. Then several sequence prediction systems for nonverbal expressions were implemented and compared. Also, an audiovisual concatenation-based synthesis system was implemented. Finally, a naturalistic, dyadic emotional conversation database was collected. We report here the work made for each of these modules and our planned future improvements.

Communicative Practices in Mata Najwa “Bara Jelang 2019” (Ethnography of Communication Study)

Communication is a fundamental requirement that is done by humans in their daily activities. Each interaction is accompanied by a communicative practice that occurs at the Mata Najwa show in the form of oral, verbal and non-verbal conversation. Hosts and informants communicate using formal and informal languages ​​(vernacular/colloquial) in order to feel familiar and without distance. Hosts and informants have their own communicative intention and purpose. Communicative actions that arise such asexplorative, informative, evaluativequestions and statements. This research uses descriptive qualitative method because the data analysis and data collection are described by words (phrase or sentence) not by numbers. The results of the study are words and espressionsthat contain SPEAKING elements according to Hymes (scene, participants, ends, act sequences, key, instruments, norms, genres).

Listening space: Lessons from artists with and without learning disabilities

In this paper, we develop an expanded conception of listening as ‘being-with’ and explore this in the context of creative visual arts activities with people with learning disabilities. Through a series of textual and visual interlocutions between Inclusive Artist ‘Alice’, Social and Cultural Geographer ‘Hannah’ and members of the contemporary arts group ‘The Rockets’, we identify how an expanded conception of listening is practiced and the results it produce. Where listening for the Inclusive Artist includes an attentiveness to visual, verbal and gestural vocabularies of arts-based methods; the construction of conducive spaces for listening and voice with attuned collaborators and appropriate art materials; the use of art materials as ‘meeting points’, which enable a non-verbal conversation to take place and knowledge of how particular materials and practices can influence a person’s work and sense of themselves. The temporalities of these forms of expanded, attentive, curious listening are explored and concern is expressed about how they sit in opposition to the hasty demands for research with ‘impact’. We hope this paper provokes researchers to consider what it means to listen through arts-based methods, the crucial role of the facilitator and the temporalities of listening they are bringing into being.

“Somthing more than material”: Nonverbal Conversation in Mary Moody Emerson's Almanacks

“Somthing more than material”: Nonverbal Conversation in Mary Moody Emerson's Almanacks

Cultural Variation in Balance ofNonverbal Conversationand Talk

This study examines cultural variation in the use of a balance of nonverbal conversation and talk for social coordination among children learning how to fold origami figures. Participants were 102 same-gender similar-age triads of first through third grade children from communities in México and California that varied in relation to Indigenous histories and experience with Western schooling (and related practices) across generations. Children from communities with Mexican Indigenous histories in the United States and in Mexico coordinated their interactions with a balance of nonverbal conversation and talk more often than children from communities with extensive histories of Western schooling, who relied more exclusively on talk. We suggest that especially articulate nonverbal conversation may occur in some communities with Mesoamerican Indigenous histories.

“Somthing more than material”: Nonverbal Conversation in Mary Moody Emerson's Almanacks

Research Article| January 01 2010 “Somthing more than material”: Nonverbal Conversation in Mary Moody Emerson's Almanacks NOELLE A. BAKER NOELLE A. BAKER Search for other works by this author on: This Site Google Resources for American Literary Study (2010) 35 (1): 29–67. https://doi.org/10.2307/26367276 Cite Icon Cite Share Icon Share Twitter Permissions Search Site Citation NOELLE A. BAKER; “Somthing more than material”: Nonverbal Conversation in Mary Moody Emerson's Almanacks. Resources for American Literary Study 1 January 2010; 35 (1): 29–67. doi: https://doi.org/10.2307/26367276 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectivePenn State University PressResources for American Literary Study Search Advanced Search The text of this article is only available as a PDF. Copyright © 2012 AMS Press, Inc.2012AMS Press, Inc. Article PDF first page preview Close Modal You do not currently have access to this content.

“Somthing more than material”: Nonverbal Conversation in Mary Moody Emerson's Almanacks

“Somthing more than material”: Nonverbal Conversation in Mary Moody Emerson's Almanacks

Cultural Variation in Children's Social Organization

This article examines how 31 triads of 6- to 10-year-old children from 3 cultural backgrounds organized their interactions while folding Origami figures. Triads of children whose families had immigrated to the United States from indigenous heritage regions of México (and whose mothers averaged only 7 grades of schooling) coordinated more often as an ensemble, whereas triads of European heritage U.S. children whose mothers had extensive schooling more often engaged dyadically or individually. When the European heritage children did engage as an ensemble, this often involved chatting rather than nonverbal conversation regarding folding, which was more common among the Mexican heritage children. Mexican heritage U.S. triads whose mothers had extensive schooling showed an intermediate pattern or resembled the European heritage children.