How Newly Acquainted Dyads Develop Shared Stereotypic Impressions through Conversation

This study investigated how feelings of closeness at initial acquaintance encourage the development of shared stereotypic impressions of others through conversation. At least early in a relationship, closer dyads may be especially inclined to get along with one another. In order to satisfy this goal, they should focus their conversations around easily agreed upon stereotypic attributes and spontaneously express agreement about those attributes. As a consequence, the shared impressions that they form should be relatively stereotypic. In this study, closeness was manipulated in previously unacquainted college-age dyads, who then discussed their impressions of an elderly woman. Closer dyads allocated more discussion time to stereotypic attributes, expressed agreement about those attributes, invoked stereotypic exemplars, and ultimately formed more stereotypic shared impressions. The discussion considers study limitations and possible boundary conditions of the effects, as well as implications for the transmission of outgroup stereotypes during socialization to a new ingroup

Incremental Syllable-Context Phonetic Vocoding

Current very low bit rate speech coders are, due to complexity limitations, designed to work off-line. This paper investigates incremental speech coding that operates real-time and incrementally (i.e., encoded speech depends only on already-uttered speech without the need of future speech information). Since human speech communication is asynchronous (i.e., different information flows being simultaneously processed), we hypothesised that such an incremental speech coder should also operate asynchronously. To accomplish this task, we describe speech coding that reflects the human cortical temporal sampling that packages information into units of different temporal granularity, such as phonemes and syllables, in parallel. More specifically, a phonetic vocoder — cascaded speech recognition and synthesis systems — extended with syllable-based information transmission mechanisms is investigated. There are two main aspects evaluated in this work, the synchronous and asynchronous coding. Synchronous coding refers to the case when the phonetic vocoder and speech generation process depend on the syllable boundaries during encoding and decoding respectively. On the other hand, asynchronous coding refers to the case when the phonetic encoding and speech generation processes are done independently of the syllable boundaries. Our experiments confirmed that the asynchronous incremental speech coding performs better, in terms of intelligibility and overall speech quality, mainly due to better alignment of the segmental and prosodic information. The proposed vocoding operates at an uncompressed bit rate of 213 bits/sec and achieves an average communication delay of 243 ms

Improved compactly computable objective measures for predicting the acceptiability of speech communications systems

Issued as Monthly status reports [1-7], and Final report, Project no. E-21-61

THE DEVELOPMENT OF A COUPLE OBSERVATIONAL CODING SYSTEM FOR COMPUTER-MEDIATED COMMUNICATION

Many romantic couples integrate text and computer-mediated communication (CMC) into their relationship dynamics, both for general relationship maintenance and for complex dynamics such as problem solving and conflict. Romantic couple dynamics are interactional, dynamic, and sequenced in nature, and a common method for studying interactions of this nature is observational analyses. However, no behavioral or observational coding systems exist that are able to capture text-based transactional couple communication. The main purpose of this dissertation was to develop an observational coding system that can be used to assess sequenced computer- mediated, text-based communication that takes place between romantic partners. This process included assessing couples’ text communication to determine how verbal and non-verbal communication behaviors are enacted in CMC, modifying an observational coding system, and establishing reliability and validity of the revised coding system. Secondary data was utilized, including 48 logs of romantic couples engaging in problem-solving discussions using online chatting for 15 minutes, where a log of the conversation was saved for future research purposes. For this dissertation, the researcher evaluated the dynamics in these logs to determine if behaviors and sequences were similar to basic romantic relationship dynamics that are present in face-to-face (FtF) couples’ dynamics. The researcher determined that the dynamics between CMC and FtF were similar, and that modifying a couple observational coding system would be appropriate. The Interaction Dimensions Coding System was selected for use and modification for this study, and the training manual and codebook were updated to integrate CMC examples. Multiple avenues of assessing face validity were also pursued and feedback from the coding team and original authors of a couple coding system were integrated into the modified coding system. The modified coding system, IDCS-CMC, was used to code 43 text-based chat logs. A team of 4 coders was trained on the coding system, where they provided ratings from 1 to 9 on each partner for different dimensions of communication behaviors that were observed and they also rated each couple on 5 dyadic categories of relationship functioning. Interrater reliability was assessed throughout the training and independent coding process using the intraclass correlation coefficient. Results indicate that good or excellent interrater reliability was established for the individual dimensions of Positive Affect, Negative Affect, Problem Solving, Support/Validation, Denial, Conflict, and Communication Skills and for the dyadic codes of Positive Escalation, Negative Escalation, Commitment, Satisfaction, and Stability. There were only two dimensions that resulted in fair or poor interrater reliability, which were Dominance and Withdrawal, both of which warrant additional study in how these dynamics are enacted in and coded in CMC. Overall, the IDCS-CMC demonstrated good interrater reliability, and construct validity was established for the coding system in a variety of ways. Construct validity was established by assessing face, content, and convergent validity. Face validity was established by eliciting feedback on the IDCS-CMC from the coding team as well as one of the authors of the system used to inform the development of the IDCS-CMC. Content validity was established by assessing the degree to which the couples in the chat logs engaged in conversations of a similar nature in their real lives, and also by determining the degree to which the couple participants followed instructions to focus on a problem-solving topic during the chats. Convergent validity was assessed by comparing the IDCS-CMC dimensions and positive and negative communication composite scores to a measure of relationship satisfaction. Overall, this dissertation details the process by which a couple observational coding system was developed and tested, and puts forth a methodological tool that can be used to better assess transactional use of CMC by romantic couples by researchers as well as practitioners and therapists

YouTube Children’s Videos: Development of a Genre under Algorithm

YouTube children’s video has been claimed to have a preponderance of violent, disturbing or otherwise in-appropriate content. To assess this claim, we conduct a content analysis of a sample of children’s videos published between January 2016 and December 2018. Our analysis reveals an evolving ecosystem involving a variety of production modes and messages which nonetheless bears the heavy imprint of the algorithm-centered commercial incentives of marketing to children and attracting YouTube advertising. Hence, while content formerly causing public concern appears to be effectively policed at this juncture, algorithmic incentives do appear to distort children’s content in potentially unhealthy ways

Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding

Most current very low bit rate (VLBR) speech coding systems use hidden Markov model (HMM) based speech recognition/synthesis techniques. This allows transmission of information (such as phonemes) segment by segment that decreases the bit rate. However, the encoder based on a phoneme speech recognition may create bursts of segmental errors. Segmental errors are further propagated to optional suprasegmental (such as syllable) information coding. Together with the errors of voicing detection in pitch parametrization, HMM-based speech coding creates speech discontinuities and unnatural speech sound artefacts. In this paper, we propose a novel VLBR speech coding framework based on neural networks (NNs) for end-to-end speech analysis and synthesis without HMMs. The speech coding framework relies on phonological (sub-phonetic) representation of speech, and it is designed as a composition of deep and spiking NNs: a bank of phonological analysers at the transmitter, and a phonological synthesizer at the receiver, both realised as deep NNs, and a spiking NN as an incremental and robust encoder of syllable boundaries for coding of continuous fundamental frequency (F0). A combination of phonological features defines much more sound patterns than phonetic features defined by HMM-based speech coders, and the finer analysis/synthesis code contributes into smoother encoded speech. Listeners significantly prefer the NN-based approach due to fewer discontinuities and speech artefacts of the encoded speech. A single forward pass is required during the speech encoding and decoding. The proposed VLBR speech coding operates at a bit rate of approximately 360 bits/s

Improving Clinical Communication and Collaboration Through Technology

Problem: Over the last 30 years, clinical communication methodologies in healthcare have evolved to become such disparate systems that they lead to confusion, wasted time, and clinician dissatisfaction. The Joint Commission (2016) reports up to 78% of sentinel events in hospitals are linked to communication failures, which have obvious implications for hospital systems in the quality and safety of their current communication systems. Context: The purpose of this project was to determine the effectiveness of implementing a unified clinical communication technology platform in an acute care hospital setting and to make recommendations from that implementation to the organization’s larger health system. Its purpose was also to determine if the creation of a clinical communication technology implementation guide for nurse leaders would positively impact future implementations of such platforms throughout the larger health system. Interventions: This project introduced smartphone communication technologies to inpatient nurses and other clinicians in a 352-bed hospital in California, which is part of a larger 39-hospital, multi-state system. Analysis was then performed by collecting data before and after implementation of the clinical communication platform. While not part of the original plan, elements of the platform were subsequently deployed to help with clinical communication during the height of the SARs CoV (COVID-19) pandemic, and this implementation was also analyzed for the project. The intention was also to determine if the creation of a clinically focused implementation guide for clinical leaders could positively impact the application of such a communication platform throughout the larger health system. Measures: Measures in this study included productivity, efficiency, quality of care, communication, and staff satisfaction with the newly implanted technology. Measurement regarding the usefulness of the implementation guide was gauged through the perceived satisfaction of nurse leaders who reviewed the guide and gave feedback. Results: Mixed results were realized from the implementation of this technology, but the work yielded valuable information for future implementations within the organization. Frontline staff and physician satisfaction with the whole platform was low, but leadership satisfaction with the elements implemented for COVID-19 was high. For the implementation guide, nurse leaders gave valuable feedback and determined it would be a highly useful document for facility implementation leads in the future. Conclusion: The implementation of new clinical communication technology and methodologies has the opportunity to improve productivity, efficiency, quality of care, communication, and staff satisfaction, but only if barriers to implementation are mitigated before, during, and immediately after go-live. A comprehensive implementation guide for nurse leaders can be the tool designed specifically to mitigate these barriers and prepare nurse leaders and facilities for the new technology and associated workflow changes that accompany the technology