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Interactive Voice Response IVR Systems and Older Adults: Lessons Learned

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Title: Interactive Voice Response IVR Systems and Older Adults: Lessons Learned


1
Interactive Voice Response (IVR) Systems and
Older Adults Lessons Learned
  • Michelle McNulty
  • Ellen Connor Mangan
  • Fidelity Investments
  • Boston, MA

Currently employed by The Mathworks
2
Introduction
  • Interactive Voice Response (IVR) systems have
    become more complex and more prevalent.
  • Information can be accessed and processed over
    the phone through touch tone and speech user
    interfaces.

3
Introduction
  • The speech component allows customers to use
    verbal commands to obtain general or personal
    (account) information and conduct transactions.
  • Providing an intuitive user interface is key for
    a successful user experience.

4
Fidelitys Phone Stats
  • Fidelitys phone systems receive a combined
    average of 282,000 phone calls per day.
  • Forty-two percent of those calls are handled by
    an automated system.

5
Fidelitys Phone Stats
  • Usage statistics for the systems report that
  • 79 of the callers are 50 or older
  • 51 of the callers are 60
  • Less than 5 of the callers are under the age of
    40
  • Because older users may be less comfortable with
    the web, the voice channel remains an important
    part of their overall user experience.

6
Background
  • Fidelity has conducted a great deal of research
    into older adults usage of the web.
  • We observed many age-dependent behaviors that
    affected web usage.
  • Would we see similar results if we looked at our
    IVR system?

7
Our Usability Studies
  • We have conducted over 125 IVR-based usability
    and research sessions over the past 5 years, many
    with older adults.
  • The studies included several typical usability
    sessions (approx. 8-10 users) and one larger
    research study that specifically focused on older
    users.

8
Our Usability Studies
  • The systems tested were designed to
  • Find account and personal information
  • Conduct transactions
  • Report technical problems
  • Check voicemail
  • Set up a voice ID
  • Most systems used both speech recognition and
    touch tone interfaces.

9
Research Study Results
Task success rate declined as a function of age.
10
Task Completion Rate by Age Group
  • (p .037, n27)

11
Designing for the Older User
  • Because of physical and cognitive changes that
    happen with age, we expected to see performance
    decline with age.
  • Reduced working memory capacity
  • Hearing
  • Motor dexterity
  • Understanding the changes we undergo as we age
    should influence the design of systems that have
    a significant population of older users.

12
Designing for the Older User
  • Older users bring different abilities and
    expectations to phone-based interactions than
    younger users do.
  • Until the middle of 2004, 96 of users interacted
    primarily through touchtone.
  • Speech recognition and the primary use of voice
    commands is relatively new.
  • What issues would older users encounter?
  • What benefits would older users discover?

13
Lessons Learned
  • We compiled the following lessons learned from
    the variety of usability studies we conducted
    over the past few years with older adults.
  • Our recommendations are based on our past
    experience and other available research.

14
Dont set false expectations
  • Unrealistic expectations of systems abilities
    (Expecting a Star Trek experience).
  • Users knew they werent talking to people, but
    many older adults tried to interact with the
    system as if it were human.
  • The conversational and easy-going nature of
    some interfaces may set false expectations.
  • Some users described certain system responses,
    such as Got it, as colloquial and not
    professional.
  • Younger users expressed annoyance at the system
    attempting to sound sorry.

15
Be Consistent
  • Consistency is very important.
  • Sudden auditory changes of the automated voice
    might signal an error or incorrectly indicate
    that users have been transferred somewhere else.
  • Menu structure and controls should be consistent
    throughout the interaction. Dont set up the
    ability to use voice commands in one part of the
    system and then disable voice commands in other
    parts of the system.

16
Pacing of System
  • Pace of system was often too fast for older
    users.
  • Older users tend to be slower at information
    processing.
  • Providing them just enough time between spoken
    menu items to echo each choice sub-vocally
    appears to improve their success with IVR
    Systems.
  • However, some younger users actually preferred
    menu items spoken at a more rapid pace (less time
    between items) as they could get to the
    information they wanted faster.

17
Pacing of System
  • Pace of system was often too fast for older
    users.
  • If possible, consider implementing a system that
    recognizes the age of the user and leverages that
    to determine the amount of space between items
    and the speed at which the menu prompts are
    spoken.
  • If that is not possible, we recommend following
    the option that would help the greatest number of
    users, i.e. the largest user group.

18
Avoid Information Overload
  • Too many menu choices long messages
  • Reduced working memory capacity in older users
    made this more problematic for them than younger
    users.
  • When presented with a long menu, we observed many
    older users simply choosing the last item in the
    list.
  • Lengthy messages can also overload memory. We
    observed a a few older users opting out to a
    representative possibly because it took too long
    to get to the menu prompts.

19
Avoid Jargon
  • Usage of jargon, obscure terminology
  • This affected all users, but especially older
    users and those with lower levels of financial
    literacy.
  • If users are unsure what a menu prompt means,
    they will be more likely to just make a random
    choice or attempt to reach a representative
    quickly.
  • Know your users and avoid using jargon-y terms
    that they may not understand.
  • Using familiar words ones that refer to
    concrete objects has been shown to improve
    performance.

20
Politeness
  • Older users were overly polite.
  • Older users were often hesitant and had trouble
    interrupting the system.
  • They often said please and thank you.
  • They spent much longer on the phone at the end of
    the call than younger users because they waited
    for an obvious out vs. just hanging up.
  • Allow generous barge-in.
  • The system should ignore various pleasantries
    such as please and thank you.
  • Inform users at various points in the interaction
    that they can hang up when theyre finished.

21
Include Some Touchtone Options
  • Many users prefer using the touchtone options to
    speaking their choices.
  • Always offer a touchtone option for entering
    sensitive information, like SSN and PIN.
  • Touchtone options serve as an external memory
    device, offering a physical indication of the
    available choices (think of a finger hovering
    over buttons). This seemed especially helpful to
    older users.

22
Include Some Touchtone Options
  • Use touchtone options strategically when
    transitioning users into a new technology
  • In the initial rollout, offer both touchtone and
    voice options in the first menu.
  • Touchtone options should always be available as a
    backup.
  • Accents, environments, privacy concerns.

23
Frequency of Sound
  • Because higher-frequency sounds are the first to
    go with progressive hearing loss1, use a
    lower-pitched voice.
  • Peak hearing sensitivity is around 3,000 4,000
    Hz.
  • Lower frequencies are less susceptible to
    masking effects

1 National Academy on an Aging Society Hearing
Loss http//www.agingsociety.org/agingsociety/pd
f/hearing.pdf
24
Positive Reaction to Voice Recognition
  • Many seniors were very enthusiastic about the
    voice recognition.
  • Hands-free interaction helps users
  • With physical impairments such as arthritis
  • Fine motor-control problems
  • On cell and cordless phone
  • Words are much easier! comment from a user
    with severe arthritis.

25
Conclusion
  • Many of the usability issues we observed affected
    both older and younger people, but in general
    older users had more trouble recovering from
    those errors.
  • Many of the usability recommendations given here
    would benefit all users if implemented.
  • Understanding issues that result from the aging
    process help not only older users but lead to a
    more universally accessible design.

26
Conclusion
  • The key is to know and design for your user.
  • If the majority of users is older make sure your
    system accommodates their requirements.
  • Set expectations. Warn customers of big changes
    ahead of time and/or in the system itself.

27
Contact Information
  • Michelle McNulty
  • Michelle.McNulty_at_fmr.com
  • Ellen Connor Mangan
  • Ellen.Mangan_at_mathworks.com

28
Resources
  • Andrade, J. (2001). An introduction to working
    memory. In J. Andrade (Ed.), Working memory in
    perspective (Chapter 1, pp. 3 30). Hove, UK
    Psychology Press
  • Banbury, S., Macken, W, Tremblay, S., and Jones,
    D. (2001) Auditory Distraction and Short-Term
    Memory Phenomena. From Human Factors. Volume 43,
    Issue 1. 2001
  • Gupta, P. and MacWhinney, B. (1993) Is the
    Phonological Loop Articulatory or Auditory?
    Proceedings of the Fifteenth Annual Conference of
    the Cognitive Science Society. Lawrence Earlbaum
    Hillsdale, NJ. 1993.
  • Noonan, Tim Building User-Friendly Voice
    Systems, 1998, Downloaded from http//www.timnoona
    n.com.au/ivrpap98.htm on April 16th, 2006
  • Stolzfus, E., Hasher, L., and Zacks, R. (1996)
    Working Memory and Aging Current Status of the
    Inhibitory View. From Working Memory and Human
    Cognition. Oxford University Press, New York.
    1996.
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