Purpose: Although the existing literature has explored the link between cognitive functioning and speech recognition in noise, the specific role of fluid intelligence still needs to be studied. Given the established association between working memory capacity (WMC) and fluid intelligence and the predictive power of WMC for speech recognition in noise, we aimed to elucidate the mediating role of fluid intelligence.

Method: We used data from the n200 study, a longitudinal investigation into aging, hearing ability, and cognitive functioning. We analyzed two age-matched samples: participants with hearing aids and a group with normal hearing. WMC was assessed using the Reading Span task, and fluid intelligence was measured with Raven's Progressive Matrices. Speech recognition in noise was evaluated using Hagerman sentences presented to target 80% speech-reception thresholds in four-talker babble. Data were analyzed using mediation analysis to examine fluid intelligence as a mediator between WMC and speech recognition in noise.

Results: We found a partial mediating effect of fluid intelligence on the relationship between WMC and speech recognition in noise, and that hearing status did not moderate this effect. In other words, WMC and fluid intelligence were related, and fluid intelligence partially explained the influence of WMC on speech recognition in noise.

Conclusions: This study shows the importance of fluid intelligence in speech recognition in noise, regardless of hearing status. Future research should use other advanced statistical techniques and explore various speech recognition tests and background maskers to deepen our understanding of the interplay between WMC and fluid intelligence in speech recognition.

The purpose of this study was to investigate whether symptoms of attention deficit hyperactivity disorder (ADHD) impact distraction by unexpected deviant sounds and vibrations. The hypothesis was a difference between individuals with low and high ADHD symptom severity in deviance distraction. In a cross-modal oddball task, we measured the impact of to-be-ignored deviating auditory and vibrotactile stimuli in 45 adults. No difference was observed between groups with low and high symptoms of ADHD in their propensity for distraction between modalities using both frequentist and Bayesian methods. The impact of the deviating sounds and vibrations on performance was similar between groups. However, the amount of missed trials, which possibly reflects mind wandering or attention away from the focal task, was higher in the high-symptom group. The findings indicate some differences in habituation across the duration of the task. The complexity of adult ADHD symptomatology, especially differences in attentional control is discussed.

The Education Act in both Sweden and Norway stipulates that schools must enable all pupils to develop the knowledge, skills and attitudes that form the basis for continued learning and active participation in working life and society (Opplæringslova, 1998; SFS 2010:800, 2010). 

In a report of Scandinavian research published between 2008–2017, Kermit (2018) concludes that children and adolescents with HL perform below peers in school, and that they often struggle with social relationships in kindergarten and school, thus running a higher risk of psychosocial problems compared to peers with typical hearing. It has been found that children and adolescents with HL are not involved in making decisions about their learning environment, including special needs education support.

We conducted a pilot study using the Strength and Difficulties Questionnaire (SDQ), investigating how psychosocial health in children who are deaf/hard-of-hearing (D/HH) in Norway, was related to peer relationships and educational support as reported by their guardians.

As a follow up to the surveys, we will conduct focus group interviews with teachers of children who D/HH to investigate their experiences of the educational support for, and psychosocial health of, these children.

Preliminary results from the surveys showed that guardians reported significantly higher SDQ scores (M= 10.5) than the normative data (M= 5.8). Descriptive data for our sample showed that children in compulsory integrated school scored higher on both internal (emotional, hyperactivity) (M=6.20) and external (peer problems, conduct) (M=5.12) scales than children attending school for hard-of-hearing (Internal M= 3.83, External M= 3.67). 

Additional statistical analysis will be presented and discussed within Bronfenbrenner’s Socio-Ecological Framework as a sensitizing concept. Further implications and future research will be discussed.

Background: Age-related changes in auditory and cognitive functions are well-documented, with increased hearing thresholds (e.g., Wiley et al., 2008) and reduced working memory capacity (WMC; e.g., Wingfield et al., 1988) among older adults. Moreover, aging has been linked to poorer speech recognition in noise (e.g., Marsja et al., 2022), highlighting the multifaceted impact of age on auditory and cognitive domains. Our study examined the dynamic relationship between auditory and cognitive changes over time to shed light on the direction of influence between the two. To this aim, we employed change score modeling.

Methods: We analyzed data from 111 normally hearing individuals from the n200 study (https://2024.speech-in-noise.eu/proxy.php?id=81). At Time 1 (T1), their mean age was 61.2 years (SD = 8.00), and at Time 2 (T2), their mean age was 67.0 years (SD = 8.06). We used Latent Change Score modeling to explore the changes in WMC and speech recognition in noise. To measure speech recognition in noise, we used signal-to-noise ratios from the Hearing in Noise Test during speech-shaped noise. The reading span test was used as a measure for WMC.

Results and Conclusion: Preliminary results showed a decline in WMC, signified by the negative relationship between Reading Span at T1 and changes in Reading Span at T2. This negative relationship indicates that individuals with higher initial WMC experienced subsequent declines in their cognitive abilities. Furthermore, our analysis revealed a negative relationship between changes in speech recognition in noise at T2 and Reading Span at T1. This relationship suggests that individuals with higher initial WMC experienced less decline in their speech recognition in noise over time. Further research with additional time points may be needed to fully elucidate the complex relationship between cognitive and auditory changes over time.

What causes interference in short-term memory? We report the novel finding that immediate memory for visually-presented verbal items is sensitive to disruption from task-irrelevant vibrotactile stimuli. Specifically, short-term memory for a visual sequence is disrupted by a concurrently presented sequence of vibrations, but only when the vibrotactile sequence entails change (when the sequence “jumps” between the two hands). The impact on visual-verbal serial recall was similar in magnitude to that for auditory stimuli (Experiment 1). Performance of the missing item task, requiring recall of item-identity rather than item-order, was unaffected by changing-state vibrotactile stimuli (Experiment 2), as with changing-state auditory stimuli. Moreover, the predictability of the changing-state sequence did not modulate the magnitude of the effect, arguing against an attention-capture conceptualisation (Experiment 3). Results support the view that interference in short-term memory is produced by conflict between incompatible, amodal serial-ordering processes (interference-by-process) rather than interference between similar representational codes (interference-by-content).

Autonomous buses promise to improve safety and accessibility in our traffic systems. Because it is a new technology it can be challenging to achieve good adoption rates. In one experiment we examine how psychological factors linked to general adoption of new technology relates to adoption of autonomous buses. Participants (N = 89) report their curiosity and expectations on the behavior of an autonomous bus approaching a pedestrian crossing. Performance expectancy and trust towards autonomous buses are also measured. Results indicate that Performance expectancy and trust are important factors for stimulating behavioral intention to use autonomous buses. 

Objective

Using data from the n200-study, we aimed to investigate the relationship between behavioural (the Swedish HINT and Hagerman speech-in-noise tests) and self-report (Speech, Spatial and Qualities of Hearing Questionnaire (SSQ)) measures of listening under adverse conditions.

Design

The Swedish HINT was masked with a speech-shaped noise (SSN), the Hagerman was masked with a SSN and a four-talker babble, and the subscales from the SSQ were used as a self-report measure. The HINT and Hagerman were administered through an experimental hearing aid.

Study sample

This study included 191 hearing aid users with hearing loss (mean PTA4 = 37.6, SD = 10.8) and 195 normally hearing adults (mean PTA4 = 10.0, SD = 6.0).ResultsThe present study found correlations between behavioural measures of speech-in-noise and self-report scores of the SSQ in normally hearing individuals, but not in hearing aid users.

Conclusion

The present study may help identify relationships between clinically used behavioural measures, and a self-report measure of speech recognition. The results from the present study suggest that use of a self-report measure as a complement to behavioural speech in noise tests might help to further our understanding of how self-report, and behavioural results can be generalised to everyday functioning.

Autonomous vehicles that operate on public roads need to be predictable to others, including vulnerable road users. In this study, we asked participants to take the perspective of videotaped pedestrians and cyclists crossing paths with an automated shuttle bus, and to (1) judge whether the bus would stop safely in front of them and (2) report whether the bus's actual stopping behavior accorded with their expectations. The results show that participants expected the bus to brake safely in approximately two thirds of the human-vehicle interactions, more so to pedestrians than cyclists, and that they tended to underestimate rather than overestimate the bus's capability to yield in ways that they considered as safe. These findings have implications for the design and implementation of automated shuttle bus services.

Purpose: The study aimed to assess the relationship between 1) speech-recognition-in-noise, mask type, working memory capacity (WMC), inhibitory control, and 2) self-rated listening effort, speech material, and mask type, in older adults with and without hearing-impairment. It was of special interest to assess the relationship between WMC, inhibitory control, and speech-recognition-in-noise when informational maskers masked target speech.

Method: A mixed design was used. A group (N= 24) of older (mean age = 69.7 years) HI individuals, and a group of age-normal hearing adults (mean age = 59.3 years, SD = 6.5) participated in the study. The participants were presented with auditory tests in a sound attenuated room and the cognitive tests in a quiet office. The participants were asked to rate listening effort after being presented with energetic and informational background maskers in two different speech materials used in this study (i.e., Hearing in Noise Test and the Hagerman Test). Linear-Mixed Effects models were set up to assess the effect of the two different speech materials, energetic and informational maskers, hearing ability, WMC, inhibitory control, and self-rated listening effort.

Results: Results showed that WMC and inhibitory control was of importance for speech-recognition-in-noise, even when controlling for PTA4 (pure tone average 4) hearing thresholds and age, when the maskers were informational. Concerning listening effort, on the other hand,  the results suggest that hearing ability, but not cognitive abilities, is important for self-rated listening effort in speech-recognition-in-noise.

Conclusion: Speech-in-noise recognition is more dependent on WMC for older adults in informational maskers than in energetic maskers. Hearing ability is a stronger predictor than cognition for self-rated listening effort.

Objectives: Previous research suggests that there is a robust relationship between cognitive functioning and speech-in-noise performance for older adults with age-related hearing loss. For normal-hearing adults, on the other hand, the research is not entirely clear. Therefore, the current study aimed to examine the relationship between cognitive functioning, aging, and speech-in-noise, in a group of older normal-hearing persons and older persons with hearing loss who wear hearing aids.

Design: We analyzed data from 199 older normal-hearing individuals (mean age = 61.2) and 200 older individuals with hearing loss (mean age = 60.9) using multigroup structural equation modeling. Four cognitively related tasks were used to create a cognitive functioning construct: the reading span task, a visuospatial working memory task, the semantic word-pairs task, and Raven’s progressive matrices. Speech-in-noise, on the other hand, was measured using Hagerman sentences. The Hagerman sentences were presented via an experimental hearing aid to both normal hearing and hearing-impaired groups. Furthermore, the sentences were presented with one of the two background noise conditions: the Hagerman original speech-shaped noise or four-talker babble. Each noise condition was also presented with three different hearing processing settings: linear processing, fast compression, and noise reduction.

Results: Cognitive functioning was significantly related to speech-in-noise identification. Moreover, aging had a significant effect on both speech-in-noise and cognitive functioning. With regression weights constrained to be equal for the two groups, the final model had the best fit to the data. Importantly, the results showed that the relationship between cognitive functioning and speech-in-noise was not different for the two groups. Furthermore, the same pattern was evident for aging: the effects of aging on cognitive functioning and aging on speech-in-noise were not different between groups.

Conclusion: Our findings revealed similar cognitive functioning and aging effects on speech-in-noise performance in older normal-hearing and aided hearing-impaired listeners. In conclusion, the findings support the Ease of Language Understanding model as cognitive processes play a critical role in speech-in-noise independent from the hearing status of elderly individuals.