Listening Behavior Research Articles

The Design of Knowledge-Based Sentiment Analysis to Detect Depression Based on Youths' Song Listening Behaviour: A Preliminary Study

Depression has become one of the significant social issues that have arisen in society. According to the World Health Organization (WHO), depression is now a common mental disorder affecting 264 million people worldwide. Depression can cause disability around the world and contributes significantly to the global burden of disease. There are several ways to treat depression, and most of them are related emotionally. Music therapy has been widely encouraged as an effective treatment for depression and anxiety. This is because music has always been a way to attach sentimentally to human feelings. Many studies have been carried out to show how songs can help treat depression, but there are no clear studies that show how songs can indicate or detect depression. This study aims to analyse the sentiments of songs users listen to and monitor their mood for fourteen days consecutively to detect depressive mood using a knowledge-based depression detector. An inspirational message to calm the user will be displayed if depression is detected to avoid a severe level. The design and implementation of the software are tested by two academic staff and is found to be correctly developed, and the functionalities are as intended in the specifications and design.

Implementing a successful proactive telephone breastfeeding peer support intervention: volunteer recruitment, training, and intervention delivery in the RUBY randomised controlled trial

BackgroundThe RUBY randomised controlled trial demonstrated the benefit of proactive telephone peer support in promoting breastfeeding continuation in a setting with high breastfeeding initiation, where typically this is difficult to achieve. This paper describes the implementation and delivery of the peer support intervention with a focus on recruitment, training, and support of peer volunteers, and includes a description of the key components of the calls.MethodsData collection occurred between December 2012 and June 2016 in Melbourne, Australia. Volunteers completed enrolment forms at the training session and recorded data related to each call in a Call Log maintained for each mother supported. Data were summarised using descriptive statistics and responses to open-ended questions analysed using content analysis.ResultsA total of 693 women expressed interest in the peer support role, with 246 completing training, that is, 95% of whom supported at least one mother. Each supported a mean of two mothers (range 1 to 11). Training session topics included respecting individual values, using positive language, confidence building, active listening, empathetic support, and normal baby behaviour. There were 518 periods of support where at least one call was made between a volunteer and a mother to whom she was allocated. Of the 518 periods of support, 359 Call Logs (69%) were returned. The 359 call logs recorded a total of 2398 calls between peers and mothers. Call length median duration was 12 min (range 1 to 111 min). Volunteers perceived the most valued aspects of the calls were the provsion of ‘general emotional support’ (51%) and ‘general information/discussion about breastfeeding’ (44%). During the first call, mothers raised questions about ‘nipple pain/ damage’ (24%) and 'general breastfeeding information’ (23%). At ≥12 weeks postpartum, issues raised related to ‘normal infant behaviour’ (22%), ‘feed frequency’ (16%), and ‘general breastfeeding information’ (15%). Volunteers referred women to other resources during 28% of calls, most commonly to the Australian Breastfeeding Association.ConclusionsOur findings demonstrate that the RUBY trial was feasible and sustainable in terms of recruiting volunteers who were willing to participate in training and who proceeded to provide peer support. Call content was responsive to the evolving breastfeeding information needs of mothers and the provision of emotional support was perceived by volunteers to be important.Trial registrationAustralian New Zealand Clinical Trials Registry, ACTRN 12612001024831.

Individual Hearing Outcomes in Cochlear Implant Users Influence Social Engagement and Listening Behavior in Everyday Life.

The goal of this study was to assess the listening behavior and social engagement of cochlear implant (CI) users and normal-hearing (NH) adults in daily life and relate these actions to objective hearing outcomes. Ecological momentary assessments (EMAs) collected using a smartphone app were used to probe patterns of listening behavior in CI users and age-matched NH adults to detect differences in social engagement and listening behavior in daily life. Participants completed very short surveys every 2 hr to provide snapshots of typical, everyday listening and socializing, as well as longer, reflective surveys at the end of the day to assess listening strategies and coping behavior. Speech perception testing, with accompanying ratings of task difficulty, was also performed in a lab setting to uncover possible correlations between objective and subjective listening behavior. Comparisons between speech intelligibility testing and EMA responses showed poorer performing CI users spending more time at home and less time conversing with others than higher performing CI users and their NH peers. Perception of listening difficulty was also very different for CI users and NH listeners, with CI users reporting little difficulty despite poor speech perception performance. However, both CI users and NH listeners spent most of their time in listening environments they considered "not difficult." CI users also reported using several compensatory listening strategies, such as visual cues, whereas NH listeners did not. Overall, the data indicate systematic differences between how individual CI users and NH adults navigate and manipulate listening and social environments in everyday life.

On the Importance of Listening and Intercultural Communication for Actions against Racism.

In a period where racial inequities in the United States have garnered more attention and discussion as a result of social media (e.g., increased use of the #BlackLivesMatter hashtag; Anderson et al., 2020) and newer generations (Tatum, 2017b), it is important to ensure that communication between cultural groups is effective and produces systemic change. This article will review the failures of a "postracial" society, with emphasis on ineffective communication among Black, Indigenous People of Color and non-Black, Indigenous People of Color. The role of the listener during intercultural verbal exchanges will be examined, while highlighting the barriers and harmful results of ineffective communication. A behavioral conceptualization of effective listener behavior will be presented, which if implemented, may maintain and sustain social equity, inclusion, and justice. A call to action will be made to further investigate intercultural communication using behavior-analytic research methodologies and how such research might inform on how to functionally and precisely mediate reinforcement in the fight against racism.

Neural attentional-filter mechanisms of listening success in middle-aged and older individuals

Successful listening crucially depends on intact attentional filters that separate relevant from irrelevant information. Research into their neurobiological implementation has focused on two potential auditory filter strategies: the lateralization of alpha power and selective neural speech tracking. However, the functional interplay of the two neural filter strategies and their potency to index listening success in an ageing population remains unclear. Using electroencephalography and a dual-talker task in a representative sample of listeners (N = 155; age=39–80 years), we here demonstrate an often-missed link from single-trial behavioural outcomes back to trial-by-trial changes in neural attentional filtering. First, we observe preserved attentional–cue-driven modulation of both neural filters across chronological age and hearing levels. Second, neural filter states vary independently of one another, demonstrating complementary neurobiological solutions of spatial selective attention. Stronger neural speech tracking but not alpha lateralization boosts trial-to-trial behavioural performance. Our results highlight the translational potential of neural speech tracking as an individualized neural marker of adaptive listening behaviour.

Towards an Engagement-Aware Attentive Artificial Listener for Multi-Party Interactions.

Listening to one another is essential to human-human interaction. In fact, we humans spend a substantial part of our day listening to other people, in private as well as in work settings. Attentive listening serves the function to gather information for oneself, but at the same time, it also signals to the speaker that he/she is being heard. To deduce whether our interlocutor is listening to us, we are relying on reading his/her nonverbal cues, very much like how we also use non-verbal cues to signal our attention. Such signaling becomes more complex when we move from dyadic to multi-party interactions. Understanding how humans use nonverbal cues in a multi-party listening context not only increases our understanding of human-human communication but also aids the development of successful human-robot interactions. This paper aims to bring together previous analyses of listener behavior analyses in human-human multi-party interaction and provide novel insights into gaze patterns between the listeners in particular. We are investigating whether the gaze patterns and feedback behavior, as observed in the human-human dialogue, are also beneficial for the perception of a robot in multi-party human-robot interaction. To answer this question, we are implementing an attentive listening system that generates multi-modal listening behavior based on our human-human analysis. We are comparing our system to a baseline system that does not differentiate between different listener types in its behavior generation. We are evaluating it in terms of the participant’s perception of the robot, his behavior as well as the perception of third-party observers.

Sound-level Monitoring Earphones With Smartphone Feedback as an Intervention to Promote Healthy Listening Behaviors in Young Adults.

More than a billion adolescents and youngsters are estimated to be at risk of acquiring recreational noise-induced hearing loss (RNIHL) due to the unsafe use of personal audio systems. RNIHL is preventable; therefore, the present study aimed to determine (i) the accuracy and reliability of dbTrack (Westone) sound-level monitoring earphones and (ii) the effect of sound-level monitoring earphones with smartphone feedback and hearing-health information as an intervention to promote healthy listening behaviors in young adults. The study consisted of two phases: the first phase investigated the accuracy and reliability of dbTrack sound-level monitoring earphones. Accuracy was determined by comparing earphone measurements to sound level meter measurements. Intradevice reliability was determined by comparing earphone measurements during test-retest conditions. Nineteen participants were recruited through convenience sampling to determine within-subject reliability by comparing in-ear sound levels measured by the earphones during test-retest conditions. For the second phase of the study, a single-group pretest-posttest design was utilized. Forty participants, recruited through snowball sampling, utilized the sound-level monitoring earphones with the accompanying dbTrack smartphone application for 4 weeks. The application's smartphone feedback was disabled during the first 2 weeks (pretest condition) and enabled during the last 2 weeks (posttest condition). Average daily intensities, durations, and sound dosages measured during pre- and posttest conditions were compared. Phase 1 dbTrack earphone measurements were within 1 dB when compared with sound level meter measurements. Earphones were also within 1 dB in repeated measures across earphones and across participants. Phase 2 posttest average daily intensity decreased by 8.7 dB (18.3 SD), duration decreased by 7.6 minutes (46.6 SD), and sound dose decreased by 4128.4% (24965.5% SD). Differences in intensity and sound dose were significantly lower with a small and medium effect size, respectively. This study's preliminary data indicate that dbTrack (Westone) sound-level monitoring earphones with a calibrated in-ear microphone can reliably and accurately measure personal audio systems sound exposure. Preliminary results also suggest that feedback on sound exposure using the accurate sound-level monitoring earphones with the accompanying dbTrack application can potentially promote safe listening behavior in young adults and reduce the risk of acquiring an RNIHL.

Reevaluating pragmatic reasoning in language games.

The results of a highly influential study that tested the predictions of the Rational Speech Act (RSA) model suggest that (a) listeners use pragmatic reasoning in one-shot web-based referential communication games despite the artificial, highly constrained, and minimally interactive nature of the task, and (b) that RSA accurately captures this behavior. In this work, we reevaluate the contribution of the pragmatic reasoning formalized by RSA in explaining listener behavior by comparing RSA to a baseline literal listener model that is only driven by literal word meaning and the prior probability of referring to an object. Across three experiments we observe only modest evidence of pragmatic behavior in one-shot web-based language games, and only under very limited circumstances. We find that although RSA provides a strong fit to listener responses, it does not perform better than the baseline literal listener model. Our results suggest that while participants playing the role of the Speaker are informative in these one-shot web-based reference games, participants playing the role of the Listener only rarely take this Speaker behavior into account to reason about the intended referent. In addition, we show that RSA’s fit is primarily due to a combination of non-pragmatic factors, perhaps the most surprising of which is that in the majority of conditions that are amenable to pragmatic reasoning, RSA (accurately) predicts that listeners will behave non-pragmatically. This leads us to conclude that RSA’s strong overall correlation with human behavior in one-shot web-based language games does not reflect listener’s pragmatic reasoning about informative speakers.

Integrating User Voice in Hearing Care With Focus on Off-Duty Warfighter.

Noise-Induced Hearing Loss (NIHL) is a growing public health concern in the USA and globally because of the emergence of lifestyle preferences and environmental exposures to sound levels exceeding safe listening limits for extended periods of time. In the military, hearing and communication are important for survival and the Department of Defense's Hearing Center of Excellence highlights the importance of protection from NIHL. Issuance of the World health organization safe audio listening standards along with existing U.S. federal and military standards provides a framework for developing an accessible tool for promoting safe listening. An App is being proposed for an aggregated assessment of a user's daily sound exposure, through personal audio system and ambient sources and providing tools for managing personal sound exposures. The key elements for development of App features were integration of user voice for functionalities, computations based on global standards, including military, for safe listening and alignment with regulatory standards for Apps. Features of the App are "Track" for audio and ambient exposures, "Compute" for real-time and cumulative exposures vs. safe listening standards, "Alert" for unsafe exposures using visual and haptic, "Inform" for personal exposures vs. safe dose, associated NIHL risk and education, "Choice" for alternatives that can be relatable to personal lifestyle, and "Share" for informing others as determined by the user. App safety is ensured by privacy and cybersecurity regulatory standards. The overall goals of the App are to increase NIHL awareness and to empower users to improve personal listening behaviors that can potentially reduce the risk of NIHL.

Musical DIAMONDS: The influence of situational classes and characteristics on music listening behavior

Music listening behavior has changed significantly due to technological advancements, leading to new listening contexts in which the situational circumstances play an increased influencing role. The aim of this study was thus to investigate the relationship between situational characteristics captured by the Situational Eight DIAMONDS and psychological characteristics of music (Arousal, Valence, and Depth) people listen to in different situations. Hence, an online study was conducted, in which 198 participants described and reported on features of 3 typical, self-selected listening situations. Results suggested that individuals adapted their music listening behavior dependent on the situational characteristics reflected by the eight DIAMONDS. Furthermore, utilizing a Latent Class Analysis, we established a taxonomy of music listening situations, including positive-social, ambivalent-individual, and negative-demanding situations. Finally, both DIAMONDS and the established classes reliably predicted reported music listening behavior and therefore are recommended to be considered in future research on social and music psychology.

Multiple-tact training may promote the emergence of receptive categorization and selection responses but results limited by methodological rigor

Q (1) Does multiple-tact training (MTT) establish visual categorization and related listener behavior?(2) Does the typical sequence (item tact training followed by category tact training) affect th...

“Just the Way You Are”: Linking Music Listening on Spotify and Personality

Advances in digital technology have put music libraries at people’s fingertips, giving them immediate access to more music than ever before. Here we overcome limitations of prior research by leveraging ecologically valid streaming data: 17.6 million songs and over 662,000 hr of music listened to by 5,808 Spotify users spanning a 3-month period. Building on interactionist theories, we investigated the link between personality traits and music listening behavior, described by an extensive set of 211 mood, genre, demographic, and behavioral metrics. Findings from machine learning showed that the Big Five personality traits are predicted by musical preferences and habitual listening behaviors with moderate to high accuracy. Importantly, our work contrasts a recent self-report-based meta-analysis, which suggested that personality traits play only a small role in musical preferences; rather, we show with big data and advanced machine learning methods that personality is indeed important and warrants continued rigorous investigation.

Bayesian inference for mixtures of von Mises distributions using reversible jump MCMC sampler

Circular data are encountered in a variety of fields. A dataset on music listening behaviour throughout the day motivates development of models for multi-modal circular data where the number of modes is not known a priori. To fit a mixture model with an unknown number of modes, the reversible jump Metropolis-Hastings MCMC algorithm is adapted for circular data and presented. The performance of this sampler is investigated in a simulation study. At small-to-medium sample sizes , the number of components is uncertain. At larger sample sizes the estimation of the number of components is accurate. Application to the music listening data shows interpretable results that correspond with intuition.

Effects of Cardiovascular Health Factors and Personal Listening Behaviors on Hearing Sensitivity in College-Aged students.

This study examined the association between pure tone hearing sensitivity and music listening behaviors among traditional college-aged students and sought to determine factors that mediate hearing sensitivity, including health and fitness levels, gender, and personal listening device (PLD) use. A convenience sample of college students (N = 182; 133 females, 49 males, mean age = 19.8 ± 1.4 year, average PLD use = 1.52 ± 7.1 hours•day-1) completed hearing assessments, music listening behavior questionnaires, and health and fitness tests. Most students listened to music at safe intensity levels (<80 dBA), though 18% had higher hearing levels (≥25 dB HL at one of the measured frequencies). Longer listening duration behavior approached but did not reach a statistical association with compromised hearing sensitivity. Of all variables measured, including cardiovascular health, fitness, and music listening, two variables: total cholesterol: triglycerides (TC:TG) and total cholesterol: high-density lipoproteins (TC:HDL) significantly associated with hearing sensitivity at 2 kHz. The odds hearing loss occurring at 4 kHz was 59% lower in females compared with males. The majority of college students had healthy music listening behavior and fitness, contributing to normal hearing sensitivity in most. In cases where greater hearing threshold levels at one or more frequencies was detected, TC:HDL and TC:TG were statistically related and at 2 kHz, males were more likely to demonstrate higher listening levels compared with females of similar health and fitness level.

Using multiple-tact training to produce emergent visual categorization in children with autism.

Previous research has shown that children with autism spectrum disorder (ASD) can categorize visual stimuli without direct training when they can also tact these stimuli using a common name and behave as listeners in relation to this name. However, children usually learn to assign objects specific names prior to learning the category to which they belong. The current study replicated previous research and evaluated whether multiple-tact training would establish visual categorization (measured by a picture sorting test) and listener behavior. We used a nonconcurrent multiple baseline design across 2 children with autism spectrum disorder. After multiple-tact training, we assessed whether participants would visually categorize stimuli based on their common category name. Both participants categorized and engaged in the corresponding listener behavior.

Does Closing the Eyes Enhance Auditory Attention? Eye Closure Increases Attentional Alpha-Power Modulation but Not Listening Performance.

In challenging listening conditions, closing the eyes is a strategy with intuitive appeal to improve auditory attention and perception. On the neural level, closing the eyes increases the power of alpha oscillations (∼10 Hz), which are a prime signature of auditory attention. Here, we test whether eye closure benefits neural and behavioral signatures of auditory attention and perception. Participants (n = 22) attended to one of two alternating streams of spoken numbers with open or closed eyes in a darkened chamber. After each trial, participants indicated whether probes had been among the to-be-attended or to-be-ignored numbers. In the EEG, states of relative high versus low alpha power accompanied the presentation of attended versus ignored numbers. Importantly, eye closure did not only increase the overall level of absolute alpha power but also the attentional modulation thereof. Behaviorally, however, neither perceptual sensitivity nor response criterion was affected by eye closure. To further examine whether this behavioral null result would conceptually replicate in a simple auditory detection task, a follow-up experiment was conducted that required participants (n = 19) to detect a near-threshold target tone in noise. As in the main experiment, our results provide evidence for the absence of any difference in perceptual sensitivity and criterion for open versus closed eyes. In summary, we demonstrate here that the modulation of the human alpha rhythm by auditory attention is increased when participants close their eyes. However, our results speak against the widely held belief that eye closure per se improves listening behavior.

Toward More Effectiveness of Communicative Behavior: Listening Input Acquisition

Listening and speaking are crucial communicative skills. It goes without saying that, under normal circumstances, almost two-thirds of our daily language use is spent on listening and speaking. However, a quite number of students have not yet been provided with the opportunity to acquire listening and speaking appropriately in China, so that there are still a considerable number of students, even university graduates, who are not satisfied with their oral English skills, especially their listening abilities. Therefore, this study attempts to focus on investigating and analyzing the effectiveness and practicality of English listening behavior in English learning. In order to effectively teach and learn, different groups of people should also have relatively appropriate and efficient learning behaviors, so as to enhance the awareness and ability of language input acquisition.

On the embodied meaning of emotional responses to music: A semiotic perspective

Abstract Previous attempts to find meaning in emotional responses to music often begin with analysis of dynamic tonal patterns, with observation of the emotional behavior of listeners or with self-reports of emotional feelings. In this study, we begin with a somewhat detailed description of physical processes in the human auditory system that lead to the activation of processes in the autonomic nervous system, which produce embodied emotional responses to environmental challenges. We then propose an answer to the question: Why were some of the same embodied responses that were originally adapted to meet the challenges of self-preservation and self-perpetuation in the course of human evolution coopted to serve as responses to perceived dynamic patterns in music? We find that a likely answer to this question involves uncertainties in the possible outcomes of antecedent or consequent musical events.

Behavioral cusp e o responder por exclusão

A Análise do Comportamento pode contribuir para a compreensão do desenvolvimento humano beneficiando- se da pesquisa empírica acumulada. Este trabalho explorou um programa de pesquisa sobre o responder por exclusão em crianças pequenas considerado uma behavioral cusp. As notas sobre o programa sumarizaram um conjunto de pesquisas que pode dar sustentação empírica ao conceito. As operações que produzem o responder por exclusão correspondem a uma das operações que simulam o que se entende por comportamento de ouvinte. O responder por exclusão é um acontecimento precoce que se estende ao longo da vida; por outro lado, o comportamento de ouvinte, possivelmente, é uma condição para ecoar; tatear e emitir mandos. O alcance da mudança da aquisição requereria verificar empiricamente o seu impacto sobre mudanças posteriores, um desafio a ser enfrentado. Apresentar um programa de pesquisa em processo pareceu-nos sugerir alternativas para o debate sobre uma análise comportamental do desenvolvimento.

Associations between Health Behaviors and Factors on Markers of Healthy Psychological and Physiological Functioning: a Daily Diary Study.

Cross-sectional and experimental knowledge highlight the contribution of various health-promoting behaviors, such as physical activity, regular sleep, and healthy nutrition to mental and physical health. Beyond these well-studied lifestyle behaviors, music listening and perceived respect in social interactions are just recently proposed everyday life experiences, which may act as health-promoting factors. This study tested the simultaneous contribution of several health-promoting behaviors and factors and examined listening to music and positive social interaction by means of perceived respect as new potentially preventive and health-promoting behaviors and factors using an ambulatory assessment design. Seventy-seven young healthy adults (38 women, 23.9 ± 4.5 years) completed surveys on their psychological state (i.e., mood, stress, and fatigue) five times a day for four consecutive days. A saliva sample was collected with each data entry to explore the physiological stress markers salivary cortisol, alpha-amylase, and flow rate as further outcome variables. As predictors, perceived respect, self-reported physical activity, the sleep's restfulness, daily coffee, alcohol, vegetable/fruit consumption, and music listening behavior were recorded. Overall, restful sleep, mean daily perceived respect, and listening to music were most clearly associated with more positive psychological states, that is, better mood and lower fatigue and perceived stress. Associations with daily alcohol, coffee, and vegetable/fruit consumption appeared rather minor. While perceived respect scores were associated with lower daily cortisol output, coffee consumption was positively related to daily cortisol and alpha-amylase. Self-reported physical activity was unrelated to either outcome measure. These findings provide important insights regarding potential resources of health (i.e., music and respect), their covariation, and which psycho-physiological mechanisms may underlie the links between health factors and well-being. Findings also have implications for the development of interventions aiming to increase resilience and foster health. Here, strategies for improving sleep quality, the use of music, and approaches that emphasize mutual respect and appreciation appear useful additions.