Effective communication as a fundamental aspect of active aging and well-being: paying attention to the challenges older adults face in noisy environments

Successful communication is vital to active aging and well-being, yet virtually all older adults find it challenging to communicate effectively in noisy environments. The resulting discomfort and frustration can prompt withdrawal or avoidance of social situations, which, in turn, can severely limit the range of activities available to older adults and lead to a less active and satisfying lifestyle, and, in some cases, depression. Using the International Classification of Functioning, Disability and Health’s (ICF) multifactorial model (WHO, 2001), we review the wider aspects of functioning and disability as they relate to hearing difficulties and communication, placing a particular emphasis on the work we, an international and interdisciplinary group of researchers, have done in the context of the ERA-NET funded interdisciplinary HEARATTN project. The ICF model is particularly fitting because it allows us to consider how physiological changes in hearing and cognition affect listening in various situations, what the consequences of these changes are for communicative abilities and social participation, and how this in turn affects life-space mobility, self-reported well-being, and, ultimately, quality of life. We will discuss how environmental conditions (both physical and social) and personal factors can affect how well older adults can communicate in the situations characteristic of everyday life. In the concluding section we discuss some behaviors, techniques and strategies that can be adopted to maintain or improve effective communication under difficult listening conditions

The importance of "scaffolding" in clinical approach to deafness across the lifespan

Throughout the present work of thesis, the concept of scaffolding will be used as a fil rouge through the chapters. What I mean for “scaffolding approach”, therefore, is an integrated and multidisciplinary clinical and research methodology to hearing impairments that could take into account persons as a whole; an approach that needs to be continuously adapted and harmonized with the individuals, pursuant to their progress, their limits and resources, in consideration of their audiological, cognitive, emotional, personal, and social characteristics. The following studies of our research group will be presented: A study (2020) designed to assess the effects of parent training (PT) on enhancing children’s communication development (chapter two); Two studies of our research group (2016; 2020) concerning variables influencing comprehension of emotions and nuclear executive functions in deaf children with cochlear implant (chapter three and chapter four) In chapter five a presentation and description of our Mind-Active Communication program, main topics and aims, multidisciplinary organizations of group and individual sessions with a description of used materials and methodology is given. Finally, a preliminary evaluation to explore the use of this multidisciplinary rehabilitative program on quality of life, psychological wellbeing, and hearing abilities in a sample of cochlear implanted elderly persons is reported

Decision-Making Amplification Under Uncertainty: An Exploratory Study of Behavioral Similarity and Intelligent Decision Support Systems

Intelligent decision systems have the potential to support and greatly amplify human decision-making across a number of industries and domains. However, despite the rapid improvement in the underlying capabilities of these “intelligent” systems, increasing their acceptance as decision aids in industry has remained a formidable challenge. If intelligent systems are to be successful, and their full impact on decision-making performance realized, a greater understanding of the factors that influence recommendation acceptance from intelligent machines is needed. Through an empirical experiment in the financial services industry, this study investigated the effects of perceived behavioral similarity (similarity state) on the dependent variables of recommendation acceptance, decision performance and decision efficiency under varying conditions of uncertainty (volatility state). It is hypothesized in this study that behavioral similarity as a design element will positively influence the acceptance rate of machine recommendations by human users. The level of uncertainty in the decision context is expected to moderate this relationship. In addition, an increase in recommendation acceptance should positively influence both decision performance and decision efficiency. The quantitative exploration of behavioral similarity as a design element revealed a number of key findings. Most importantly, behavioral similarity was found to positively influence the acceptance rate of machine recommendations. However, uncertainty did not moderate the level of recommendation acceptance as expected. The experiment also revealed that behavioral similarity positively influenced decision performance during periods of elevated uncertainty. This relationship was moderated based on the level of uncertainty in the decision context. The investigation of decision efficiency also revealed a statistically significant result. However, the results for decision efficiency were in the opposite direction of the hypothesized relationship. Interestingly, decisions made with the behaviorally similar decision aid were less efficient, based on length of time to make a decision, compared to decisions made with the low-similarity decision aid. The results of decision efficiency were stable across both levels of uncertainty in the decision context

Surrounded by sound: noise, rights and environments

Noise was probably the first environmental pollutant (apart from human waste) in the Ancient world. Yet today, by comparison with other environmental matters, noise and protection from its effects are often overlooked, except in specialist fields such as architecture or planning. One major reason for this may be that noise does not possess the same ability to spread that is characteristic of other forms of pollution. Noise is also an unusual form of environmental pollution in having a physical impact – it is ‘heard’ and can be ‘felt’ – but is predominantly interpreted subjectively. The impact and consequences of anthropogenic noise for humans and biodiversity in general, are currently under-investigated in criminology and are under-addressed in both public and private international environmental law. Here we question why noise has not (so far) been explored within green criminology and only tentatively explored within cultural criminology. The objectives are to provide an overview of noise as a topic, connecting media, culture, anti- and pro-social behaviour, and to unearth interconnections between the matter of noise and its implications for the environment

Personalizing the Fitting of Hearing Aids by Learning Contextual Preferences From Internet of Things Data

The lack of individualized fitting of hearing aids results in many patients never getting the intended benefits, in turn causing the devices to be left unused in a drawer. However, living with an untreated hearing loss has been found to be one of the leading lifestyle related causes of dementia and cognitive decline. Taking a radically different approach to personalize the fitting process of hearing aids, by learning contextual preferences from user-generated data, we in this paper outline the results obtained through a 9-month pilot study. Empowering the user to select between several settings using Internet of things (IoT) connected hearing aids allows for modeling individual preferences and thereby identifying distinct coping strategies. These behavioral patterns indicate that users prefer to switch between highly contrasting aspects of omnidirectionality and noise reduction dependent on the context, rather than relying on the medium “one size fits all” program frequently provided by default in hearing health care. We argue that an IoT approach facilitated by the usage of smartphones may constitute a paradigm shift, enabling continuous personalization of settings dependent on the changing context. Furthermore, making the user an active part of the fitting solution based on self-tracking may increase engagement and awareness and thus improve the quality of life for hearing impaired users