Skip to main content

Stop Your Phone from Screaming at You (and Everyone Else!)

  • Chapter
  • First Online:
Anthropology-Based Computing

Part of the book series: Human–Computer Interaction Series ((HCIS))

  • 1064 Accesses

Abstract

When a phone rings, what is it supposed to do? Well, the original idea was that it should get the attention of the intended person, so that they can decide whether or not to postpone or stop what they’re doing and answer it. We’ve all seen how a crowd reacts when they hear a popular or default ringtone in a crowded room: everyone checks their phone. It might be funny the first time it happens, but it gets annoying pretty quickly, as do most customized ringtones. How many times can your best friend’s phone play your favorite song before you learn to hate both the song and the friend?

I’ve come up with a simple way to improve the function of your ringtones, based on a psychological phenomenon called “The Cocktail Party Effect”. It’s been observed that a person in a crowded and noisy room can hear their own name more clearly than anyone else can – even if it is spoken at low volume. A familiar voice is also easier to hear. So… how about replacing your ringtone with the voice of your favorite (and least favorite) callers softly speaking your name?

Not only do you hear the ring clearly at a volume too low to bother the people around you, you also know who’s calling without having to stop and check.

Let’s have a look at how your brain reacts when the phone rings, and why that might be dangerous. Then we can look at some alternatives that cause different reactions.

figure a

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Coleridge ST (1908) Kubla Khan. In: Quiller-Couch A (ed) The Oxford book of English verse. Oxford University Press, Oxford, pp 1250–1900

    Google Scholar 

  2. Cherry EC (1953) Some experiments on the recognition of speech, with one and with two ears. J Acoust Soc Am 25(5):975–979

    Article  Google Scholar 

  3. Moray N (1959) Attention in dichotic listening: affective cues and the influence of instructions. Q J Exp Psychol 11(1):56–60

    Article  Google Scholar 

  4. Brown JNA (2012) Expert talk for time machine session: designing calm technology … as refreshing as taking a walk in the woods. In 2012 IEEE international conference on multimedia and expo, vol 1, p 423

    Google Scholar 

  5. Brown JNA (2013) It’s as easy as ABC: introducing anthropology-based computing. In Advances in computational intelligence. Springer, Berlin, pp 1–16

    Google Scholar 

  6. Brown JNA (2015) Making sense of the noise: an ABC approach to big data and security. In: Saathoff, Arabnia, Hill, Staniforth, Bayerl (eds) Application of big data for national security. Elsevier, Oxford, pp 261–273

    Google Scholar 

  7. Golumbic EMZ, Ding N, Bickel S, Lakatos P, Schevon CA, McKhann GM, Schroeder CE (2013) Mechanisms underlying selective neuronal tracking of attended speech at a “Cocktail Party”. Neuron 77:980–991

    Article  Google Scholar 

  8. Brown JNA, Oliveira J, Bakker S (2015) I am calm: towards a psychoneurological evaluation of ABC ringtones. Interact Des Architect 26:55–69

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Brown, J.N.A. (2016). Stop Your Phone from Screaming at You (and Everyone Else!). In: Anthropology-Based Computing. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-24421-1_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-24421-1_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24419-8

  • Online ISBN: 978-3-319-24421-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics