Literature DB >> 25745633

Developing and Selecting Auditory Warnings for a Real-Time Behavioral Intervention.

John Bellettiere1, Suzanne C Hughes1, Sandy Liles1, Marie Boman-Davis1, Neil Klepeis1, Elaine Blumberg1, Jeff Mills1, Vincent Berardi2, Saori Obayashi1, T Tracy Allen3, Melbourne F Hovell1.   

Abstract

Real-time sensing and computing technologies are increasingly used in the delivery of real-time health behavior interventions. Auditory signals play a critical role in many of these interventions, impacting not only behavioral response but also treatment adherence and participant retention. Yet, few behavioral interventions that employ auditory feedback report the characteristics of sounds used and even fewer design signals specifically for their intervention. This paper describes a four-step process used in developing and selecting auditory warnings for a behavioral trial designed to reduce indoor secondhand smoke exposure. In step one, relevant information was gathered from ergonomic and behavioral science literature to assist a panel of research assistants in developing criteria for intervention-specific auditory feedback. In step two, multiple sounds were identified through internet searches and modified in accordance with the developed criteria, and two sounds were selected that best met those criteria. In step three, a survey was conducted among 64 persons from the primary sampling frame of the larger behavioral trial to compare the relative aversiveness of sounds, determine respondents' reported behavioral reactions to those signals, and assess participant's preference between sounds. In the final step, survey results were used to select the appropriate sound for auditory warnings. Ultimately, a single-tone pulse, 500 milliseconds (ms) in length that repeats every 270 ms for 3 cycles was chosen for the behavioral trial. The methods described herein represent one example of steps that can be followed to develop and select auditory feedback tailored for a given behavioral intervention.

Entities:  

Keywords:  Alarm Design; Auditory Alerts; Auditory Warning Design; Behavioral Intervention; Immediate Feedback; Real-Time Feedback; Warning Sounds

Year:  2014        PMID: 25745633      PMCID: PMC4347839          DOI: 10.12691/ajphr-2-6-3

Source DB:  PubMed          Journal:  Am J Public Health Res        ISSN: 2327-6703


  21 in total

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4.  Improvement in glycemic excursions with a transcutaneous, real-time continuous glucose sensor: a randomized controlled trial.

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Journal:  Diabetes Care       Date:  2006-01       Impact factor: 19.112

5.  Improving auditory warning design: relationship between warning sound parameters and perceived urgency.

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Journal:  Hum Factors       Date:  1991-04       Impact factor: 2.888

6.  The effects of external motivation and real-time automated feedback on speeding behavior in a naturalistic setting.

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Review 7.  Punishment of human behavior.

Authors:  J M Johnston
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8.  A user-centred approach to the design and evaluation of auditory warning signals: 1. Methodology.

Authors:  J Edworthy; N Stanton
Journal:  Ergonomics       Date:  1995-11       Impact factor: 2.778

9.  Fewer but better auditory alarms will improve patient safety.

Authors:  J Edworthy; E Hellier
Journal:  Qual Saf Health Care       Date:  2005-06

10.  Effectiveness of audio feedback for partial weight-bearing in and outside the hospital: a randomized controlled trial.

Authors:  Henri L Hurkmans; Johannes B Bussmann; Eric Benda; Jan A Verhaar; Henk J Stam
Journal:  Arch Phys Med Rehabil       Date:  2012-02-10       Impact factor: 3.966

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  6 in total

1.  Randomized Trial to Reduce Air Particle Levels in Homes of Smokers and Children.

Authors:  Suzanne C Hughes; John Bellettiere; Benjamin Nguyen; Sandy Liles; Neil E Klepeis; Penelope J E Quintana; Vincent Berardi; Saori Obayashi; Savannah Bradley; C Richard Hofstetter; Melbourne F Hovell
Journal:  Am J Prev Med       Date:  2018-01-02       Impact factor: 5.043

2.  Randomised controlled trial of real-time feedback and brief coaching to reduce indoor smoking.

Authors:  Melbourne F Hovell; John Bellettiere; Sandy Liles; Benjamin Nguyen; Vincent Berardi; Christine Johnson; Georg E Matt; John Malone; Marie C Boman-Davis; Penelope J E Quintana; Saori Obayashi; Dale Chatfield; Robert Robinson; Elaine J Blumberg; Weg M Ongkeko; Neil E Klepeis; Suzanne C Hughes
Journal:  Tob Control       Date:  2019-02-15       Impact factor: 7.552

3.  A Markov approach for increasing precision in the assessment of data-intensive behavioral interventions.

Authors:  Vincent Berardi; Ricardo Carretero-González; John Bellettiere; Marc A Adams; Suzanne Hughes; Melbourne Hovell
Journal:  J Biomed Inform       Date:  2018-07-31       Impact factor: 6.317

Review 4.  Effectiveness of Interventions to Reduce Tobacco Smoke Pollution in Homes: A Systematic Review and Meta-Analysis.

Authors:  Laura J Rosen; Vicki Myers; Jonathan P Winickoff; Jeff Kott
Journal:  Int J Environ Res Public Health       Date:  2015-12-18       Impact factor: 3.390

5.  Fine particles in homes of predominantly low-income families with children and smokers: Key physical and behavioral determinants to inform indoor-air-quality interventions.

Authors:  Neil E Klepeis; John Bellettiere; Suzanne C Hughes; Benjamin Nguyen; Vincent Berardi; Sandy Liles; Saori Obayashi; C Richard Hofstetter; Elaine Blumberg; Melbourne F Hovell
Journal:  PLoS One       Date:  2017-05-17       Impact factor: 3.240

6.  Feasibility of Measuring Tobacco Smoke Air Pollution in Homes: Report from a Pilot Study.

Authors:  Laura Rosen; David Zucker; Melbourne Hovell; Nili Brown; Amit Ram; Vicki Myers
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  6 in total

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