Anthony Chmiel https://validator.w3.org/feed/docs/rss2.html Calming effects of repetition for children with sensory sensitivities Increasing music preference through guided self-framing: A comparison of historical and imaginative approaches. Progressively learned musical ability predicts cognitive transfer in older adult novices: A 12- month musical instrument training programme Dr. Anthony Chmiel – Music and Cognitive Psychology Music playlists for people with dementia: A guide for carers, health workers, and family. (www.musicfordementia.com.au). Performing lieder: Expert perspectives and comparison of vibrato and singer’s formant with opera singers. Back to the inverted-U for music preference: A review of the literature. Using psychological principles of memory storage and preference to improve music recommendation systems. Emptying rooms: When the inverted-U model of preference fails—An investigation using music with collative extremes. Unusualness as a predictor of music preference. Multimedia archives: New digital filters to correct equalization errors on digitized tape. Publications Going online: Successes and challenges in delivering group music learning for older adult novices during the COVID-19 pandemic. MoodyTunes: A single cohort study of a music-based smartphone app for mental health and mood regulation in young people The Active Minds Music Ensemble: Older adult music instrument learning.  Guide to creating a server for online R experiments using psychTestR. AMMRI: A computational assessment tool for music novice students’ replication and improvisation tasks. MoodyTunes: A mixed methods usability study of an app for adolescent mental health. Meaning in music framed: The four ‘Eff’ processes (Fit, Affiliation, Facilitation, and Fluency) Calming effects of repetition in music for children with sensory sensitivities: Findings from two experimental studies. Remembering the forgetting curve: A simulation and new explanation of the inverted-U preference trajectory for exposure to music. A simple algorithm for music recommendation, built on established psychological principles. Key clarity is blue, relaxed, and maluma: Machine learning used to discover cross-modal connections between sensory items and the music they spontaneously evoke. Musical activity as avoidance-based emotion regulation during the COVID-19 pandemic: Evidence across continents. The role of artistic creative activities in navigating the COVID-19 pandemic in Australia. Objective demonstration and quantitation of musical learning in older adult novices across a 12-month online study. Vocalists and wobblers.  Examining older adult cognition, motor function, and musical aptitude across a longitudinal music education program. Impacts of improvisation as a component of novice music learning in older people.  Surfing the pleasure sea: Neurobiological principles of music enjoyment proposed for recommendation systems and wellbeing.  Quantifying relationships among terms describing powerfully positive affect experience. Developing beneficial musical interventions for older adult novices. Introductory video series to PsychTestR: A guide for running online experiments during COVID-19. PsychTestR: An interface for online experiments using R. Maintaining active minds and bodies through online music reproduction and improvisation classes.  The Active Minds Music Ensemble: Running group music lessons for older adults in-person and online.  The Active Minds Music Ensemble: Experiences online and in-person.  Colors of the music: Emotional enhancement of music performance through stage lighting. PitchDraw: A dual axis pitch association training app for novice musical instrument learners. Psycho-historical contextualization versus imaginative engagement for music preference. Theory, data, and application of psychological principles for music preference The new U: Music preference is an inverted-U as a function of exposure by reinventing the Ebbinghaus memory retention curve Beyond similarity: Applying collative variables and the inverted-U to music recommendation systems. What art are you engaging with in lockdown? Australians are mostly watching TV – but music, singing and dancing do more for your mood. Engaging with art to improve your mood in lockdown. What art are you engaging with in lockdown? Lockdown boost: The activities that improve your mood the most. ‘I get completely lost in it’: Why more people are tuning in to music lessons. Knocking on a yellow door: Interactions among knocking sounds, colours, and emotions. A workflow and novel digital filters for compensating speed and equalization errors on digitized audio open-reel tapes.