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A voice inside my head: The psychological and behavioral consequences of auditory technologies

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  • Lieberman, Alicea
  • Schroeder, Juliana
  • Amir, On

Abstract

People spend over four hours listening to auditory media daily, providing an important outlet for organizations, marketers, and policymakers to influence behavior. Headphones and speakers are the two most ubiquitous auditory media used. Five experiments demonstrate that because headphones localize sound inside a listener’s head (i.e., in-head localization, the sensation that the sound is originating from within one’s own head), they increase listeners’ felt closeness to the communicators of a message. Consequently, listeners perceive the communicators as warmer, feel and behave more empathically toward them, and are more persuaded by them. Consistent with our theorized mechanism, the difference in felt closeness between headphones and speakers attenuates when headphone listeners hear audio designed to create a “surround sound” experience which reduces the in-head localization of sound. This research sheds light on how, and why, different auditory technologies influence judgments, attitudes, and behaviors.

Suggested Citation

  • Lieberman, Alicea & Schroeder, Juliana & Amir, On, 2022. "A voice inside my head: The psychological and behavioral consequences of auditory technologies," Organizational Behavior and Human Decision Processes, Elsevier, vol. 170(C).
  • Handle: RePEc:eee:jobhdp:v:170:y:2022:i:c:s0749597822000176
    DOI: 10.1016/j.obhdp.2022.104133
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    1. Jennifer J. Argo & Darren W. Dahl & Rajesh V. Manchanda, 2005. "The Influence of a Mere Social Presence in a Retail Context," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(2), pages 207-212, September.
    2. Raveendhran, Roshni & Fast, Nathanael J., 2021. "Humans judge, algorithms nudge: The psychology of behavior tracking acceptance," Organizational Behavior and Human Decision Processes, Elsevier, vol. 164(C), pages 11-26.
    3. Freling, Traci H. & Yang, Zhiyong & Saini, Ritesh & Itani, Omar S. & Rashad Abualsamh, Ryan, 2020. "When poignant stories outweigh cold hard facts: A meta-analysis of the anecdotal bias," Organizational Behavior and Human Decision Processes, Elsevier, vol. 160(C), pages 51-67.
    4. Xu, Alison Jing & Rodas, Maria A. & Torelli, Carlos J., 2020. "Generosity without borders: The interactive effect of spatial distance and donation goals on charitable giving," Organizational Behavior and Human Decision Processes, Elsevier, vol. 161(C), pages 65-78.
    5. Logg, Jennifer M. & Minson, Julia A. & Moore, Don A., 2019. "Algorithm appreciation: People prefer algorithmic to human judgment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 151(C), pages 90-103.
    6. Jennifer Aaker & Kathleen D. Vohs & Cassie Mogilner, 2010. "Nonprofits Are Seen as Warm and For-Profits as Competent: Firm Stereotypes Matter," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 224-237, August.
    7. Majid Ghorbani & Yuan Liao & Sinan Çayköylü & Masud Chand, 2013. "Guilt, Shame, and Reparative Behavior: The Effect of Psychological Proximity," Journal of Business Ethics, Springer, vol. 114(2), pages 311-323, May.
    8. Small, Deborah A & Loewenstein, George, 2003. "Helping a Victim or Helping the Victim: Altruism and Identifiability," Journal of Risk and Uncertainty, Springer, vol. 26(1), pages 5-16, January.
    9. Berkeley J. Dietvorst & Joseph P. Simmons & Cade Massey, 2018. "Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them," Management Science, INFORMS, vol. 64(3), pages 1155-1170, March.
    10. Charness, Gary & Gneezy, Uri, 2008. "What's in a name? Anonymity and social distance in dictator and ultimatum games," Journal of Economic Behavior & Organization, Elsevier, vol. 68(1), pages 29-35, October.
    11. Amy Orben & Andrew K. Przybylski, 2019. "The association between adolescent well-being and digital technology use," Nature Human Behaviour, Nature, vol. 3(2), pages 173-182, February.
    12. Aaker, Jennifer & Vohs, Kathleen D. & Mogilner, Cassie, 2010. "Non-profits Are Seen as Warm and For-Profits as Competent: Firm Stereotypes Matter," Research Papers 2047, Stanford University, Graduate School of Business.
    13. Tom van Laer & Ko de Ruyter & Luca M. Visconti & Martin Wetzels, 2014. "The Extended Transportation-Imagery Model: A Meta-Analysis of the Antecedents and Consequences of Consumers' Narrative Transportation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(5), pages 797-817.
    14. Kurt P. Munz & Minah H. Jung & Adam L. Alter, 2020. "Name Similarity Encourages Generosity: A Field Experiment in Email Personalization," Marketing Science, INFORMS, vol. 39(6), pages 1071-1091, November.
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