demography based automated teller machines

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Demography based Automated Teller Machine Deepti Aggarwal, Himanshu Zade, Anind K. Dey

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The presentation was made for a design paper accepted in IndiaHCI 2012.

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Page 1: Demography based Automated Teller Machines

Demography based Automated Teller Machine

Deepti Aggarwal, Himanshu Zade, Anind K. Dey

Page 2: Demography based Automated Teller Machines

Presentation Overview

Demography and its impact on usability of ATMs

Issues with ATMs in India

Global solutions unsuitable to Indian demography

Proposed software and hardware design

Page 3: Demography based Automated Teller Machines

What is Demography?

Study of population composition

Spatio-temporally dynamic

Study of the size, structure, and distribution of population

Tightly coupled with the culture of that place

Page 4: Demography based Automated Teller Machines

Demography: Effect on usability of an artifact

Influences attitude, behavior, actions, values, cognitive structure, social and perceptual skills.

Follows different signs, symbols, and words.

affects the interaction with designs!

Page 5: Demography based Automated Teller Machines

Demography: Impact on consumer products

Liril Soap could not attract Global market but India owing to its branding as a herbal product.

Dish washerlow acceptance into Indian market due to different food preferences.

Page 6: Demography based Automated Teller Machines

One more consumer product… Automated Teller Machine

Page 7: Demography based Automated Teller Machines

Widely used service by to make cash withdrawals, check account balances and many other services.

Began in 1970s in UK.

What is an Automated Teller Machine (ATM) ?

Click icon to add picture

Page 8: Demography based Automated Teller Machines

Literacy rate of 74.04%.

Second highest population in the world

1652 languages and their various dialects.

Age Structure: 0-14 years: 31.1% 15-64 years: 63.6% 65-over: 5.3%

Indian Demography

Page 9: Demography based Automated Teller Machines

Low technical acquaintance.

Slow adaptation to newer technologies.

Emotional attachment to local terminologies and preferences.

Segmented population results to diverse needs.

Leads to lower usability of ATM.

Indian Demography: Impact on ATM

Page 10: Demography based Automated Teller Machines

45000+ ATM installations in India.

Preferred way of financial transaction to 80% Indians.

More than 50% Indians use ATM service at least once a week.

Experts forecast that the growth rate (CAGR) is expected to grow 18 percent up by 2013.ATM:

Significant to Indian market

Page 11: Demography based Automated Teller Machines

ATM innovation: From other demography

BBVA Inc. in collaboration with IDEO Inc.

Apple Inc. for iPhone digital signature

Bank of America

… and many more

Page 12: Demography based Automated Teller Machines

Evolution of ATM since 1970: Problem statement Man evolved, ATM did not…

1970 2020

Page 13: Demography based Automated Teller Machines

Research Methodology

Within group design

Participants: 20 (11 males and 9 females)

Diverse backgrounds

Minimum 2 years of experience with ATM

Subjective assessment to identify issues and evaluate the proposed solutions

Page 14: Demography based Automated Teller Machines

ATM: Issues in India

Page 15: Demography based Automated Teller Machines

1. H

ard

ware

Issue: N

o

Priv

acy

Page 16: Demography based Automated Teller Machines

2. H

ard

ware

Issue: C

ard

Slo

t Trap

Page 17: Demography based Automated Teller Machines

3. H

ard

ware

Issue: C

ard

O

rienta

tion

Page 18: Demography based Automated Teller Machines

1. Software Issue: No proper feedback

Page 19: Demography based Automated Teller Machines

2. Software Issue:ATM card absorption causes automation surprise

Page 20: Demography based Automated Teller Machines

3. Software Issue:Interaction non-intuitive

… and more

Page 21: Demography based Automated Teller Machines

Proposed Design Solution

Dolphin hardware case

Interactive software design

RFID card

Touch-base screen with 30 degree inclination.

Page 22: Demography based Automated Teller Machines

Conclusion

System Usability Score = 79 for the proposed design

Demography drives novelty of an idea and influences user satisfaction

Personalization leads to variable process flows

Customization favors diversity

Trade-off: Localization and Centralization

Page 23: Demography based Automated Teller Machines

Logistics

The existing ATMs can be upgraded by involving the suggested interactivity in a touch-based screen.

Giving control to users for ATM magnetic card, provide a swipe-in slot that can replace the push-in pull-out / absorb-in slot.

New ATMs can be built completely as per the proposed design later.

Page 24: Demography based Automated Teller Machines

Future workATM for specially-abled people

Extension to UID compatibility

Page 25: Demography based Automated Teller Machines

Thank youQuestions?