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Nuevas tendencias UX #daiux2016
agenda.
IOT
Proyecciones e interacciones
Data Driven
Apps
Casos
IOT Internet of Things
“El internet de las cosas (IOT) es una red global
de computadores, sensores y actuadores
conectados a través de protocolos...
¿Qué es internet de las cosas y qué no?
Desafíos de la UX para IOT
UX en el servicio
*Spotify
Tangibilidad
6.4 Billion devices = 6.4 Billion on interfaces
¿Quién las va a diseñar?
¿Diseño industrial otra vez?
Proyecciones e interacciones Video + interacción
Estamos transformando a las audiencias en
tatuadores, Directores de Tv y operadores logísticos?
Data Driven Análisis y ejecución
Video
Apps Still alive?
E-Commerce Day 2016 Chile
“La visión no fue
mobile first,
fue Mobile ONLY”
www.simple.ripley.cl
¿Cuáles Apps usamos hoy?
Hacen muy pocas cosas, pero muy bien
Casos Now is for real
Intro
On my way to work, I saw an interesting
ad for a concert.
Snapped a picture of it to remind myself,
which I forgot (...
The hack
Take a picture Sync
External
Cloud
Is an
actionable
photo?
No
Yes
Add to
calendar
Tesseract
Scan
Process to
text
...
Take a picture of a poster "Friday Jazz in Southbank Centre at 5:30 on June 10th" and the
event will be created on your ca...
Social layer
Privacy, spurious events/alerts
Business layer
Analytics dashboard (with location data
it tells you which pos...
Gustavo Soto Mino / PCP / MSc HCI+e
Use Your Words: Designing One-
time Pairing Codes to Improve
User Experience
Gustavo Soto Mino
@gusoto
PairingProcess
CODE
Device 01 Device 02
ACCESS
GRANTED
Device 01
Transcription Correct code
copy-and-confirm
MAIN
REQUEST
This request considered a few distinctive elements related
with the
INPUT CODE
send
Security of the process
E...
Physical level Cognitive level Perceptual level Social level
Elements of the experience
Combinations
Condition Characters Example Composition Combinations
Digits 9 characters 874 325 023 Digits from 0 - 9 1,000...
Experiment
SMARTPHONE [User´s smartphones]
DIGITSALPHANUMERICWORDS
LAPTOP
DIGITSALPHANUMERICWORDS
What was measured?
ENTRY SPEED ERRORS WORKLOAD MEMORABILITY PREFERENCES
RESULTS
Mean entry time for each condition by device
Timeinmilliseconds
80.0
107.5
135.0
162.5
190.0
Digits Alphanumeric Words
Lap...
ERROR
RATE
Mean error rate for each condition by device
Errorpercentage
1.00
1.75
2.50
3.25
4.00
Digits Alphanumeric Words...
TLX
WORKLOAD
Digits on Laptop
Alphanum. on Laptop
Words on Laptop
Digits on Smartphone
Alphanum on Smartphone
Words on Sma...
TLX
WORKLOAD
NASA TLX frustration scores by condition
Frustrationscale
score
0.0
50.0
100.0
150.0
200.0
Digits Alphanumeri...
MEMORABILITY
Median amount of glances to the screen
by condition
Nofglances
0.0
10.5
21.0
31.5
42.0
Digits Alphanumeric Wo...
User preferences
0
5
10
15
20
Smartphone Laptop Pairing Process
Words Digits Alphanumeric
USERS
PREFERENCES
The users’ pre...
The design recommendation for the implementation is to use a three-word
based passcode. The experiment showed consistent r...
Nuevas tendencias en UX
Nuevas tendencias en UX
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Nuevas tendencias en UX
Nuevas tendencias en UX
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Nuevas tendencias en UX

Presentación para Diplomado de Arquitectura de información y experiencia de usuarios.

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Nuevas tendencias en UX

  1. 1. Nuevas tendencias UX #daiux2016
  2. 2. agenda. IOT Proyecciones e interacciones Data Driven Apps Casos
  3. 3. IOT Internet of Things
  4. 4. “El internet de las cosas (IOT) es una red global de computadores, sensores y actuadores conectados a través de protocolos de internet” Pfister-
  5. 5. ¿Qué es internet de las cosas y qué no?
  6. 6. Desafíos de la UX para IOT
  7. 7. UX en el servicio *Spotify
  8. 8. Tangibilidad
  9. 9. 6.4 Billion devices = 6.4 Billion on interfaces ¿Quién las va a diseñar?
  10. 10. ¿Diseño industrial otra vez?
  11. 11. Proyecciones e interacciones Video + interacción
  12. 12. Estamos transformando a las audiencias en tatuadores, Directores de Tv y operadores logísticos?
  13. 13. Data Driven Análisis y ejecución
  14. 14. Video
  15. 15. Apps Still alive?
  16. 16. E-Commerce Day 2016 Chile “La visión no fue mobile first, fue Mobile ONLY” www.simple.ripley.cl
  17. 17. ¿Cuáles Apps usamos hoy?
  18. 18. Hacen muy pocas cosas, pero muy bien
  19. 19. Casos Now is for real
  20. 20. Intro On my way to work, I saw an interesting ad for a concert. Snapped a picture of it to remind myself, which I forgot (obviously). Got a rude reminder of the event when I saw pictures of that concert the day after on Facebook :( What a bummer! Extending your default photo cloud to turn photos into calendar events, naturally expanding current user behaviours. OURVISION
  21. 21. The hack Take a picture Sync External Cloud Is an actionable photo? No Yes Add to calendar Tesseract Scan Process to text Identify key elements
  22. 22. Take a picture of a poster "Friday Jazz in Southbank Centre at 5:30 on June 10th" and the event will be created on your calendar with the correct date and time. Unique Selling Point It is in your default camera app already, not another icon on your desktop! It runs automatically in the background. Create powerful connections from images to reminders / alerts. Other services Default camera app on your phone Google Calendar Google Now IFTTT
  23. 23. Social layer Privacy, spurious events/alerts Business layer Analytics dashboard (with location data it tells you which poster gets the most exposure) Attendance forecasting Next steps Eventual.ly is a glue - IFTTT for events. Eventual.ly is a framework for event managers and developers. Ultimate goalToday “Eventually is an automated solution for users, extracting information from images” Next steps Future
  24. 24. Gustavo Soto Mino / PCP / MSc HCI+e
  25. 25. Use Your Words: Designing One- time Pairing Codes to Improve User Experience Gustavo Soto Mino @gusoto
  26. 26. PairingProcess CODE Device 01 Device 02 ACCESS GRANTED Device 01 Transcription Correct code copy-and-confirm
  27. 27. MAIN REQUEST This request considered a few distinctive elements related with the INPUT CODE send Security of the process Elements of the user experience Avoid collisions
  28. 28. Physical level Cognitive level Perceptual level Social level Elements of the experience
  29. 29. Combinations Condition Characters Example Composition Combinations Digits 9 characters 874 325 023 Digits from 0 - 9 1,000,000,000 Words 3 words of three letters pin win dog 800 English words 512,000,000 Alphanumeric 5 characters Rt 4Ka Letters from A-Z (Uppercase and lowercase) Minus IOL,iol) + Digits 550,731,776
  30. 30. Experiment SMARTPHONE [User´s smartphones] DIGITSALPHANUMERICWORDS LAPTOP DIGITSALPHANUMERICWORDS
  31. 31. What was measured? ENTRY SPEED ERRORS WORKLOAD MEMORABILITY PREFERENCES
  32. 32. RESULTS
  33. 33. Mean entry time for each condition by device Timeinmilliseconds 80.0 107.5 135.0 162.5 190.0 Digits Alphanumeric Words Laptop Smatphone ENTRY SPEED The entry time in both devices (smartphone and laptop) was the fastest when using the words-condition. Users are more efficient when typing elements that they know or are somehow familiar with (Salthouse, 1986). Using one kind of character will improve the memorability of the users, creating a more efficient experience (Schraagen & van Dongen, 2005) EFFICIENCY
  34. 34. ERROR RATE Mean error rate for each condition by device Errorpercentage 1.00 1.75 2.50 3.25 4.00 Digits Alphanumeric Words Laptop Smatphone Regarding the efficacy, the experiment observed that the error rate between conditions and devices was not significant in statistical terms. EFFICACY According to Gallagher & Byrne’s model (2007), the alphanumeric-condition would present the largest amount of errors, due to the added complexity of changing between screens It is possible to conclude that the use of mixed characters (lowercase with uppercase or digits) will impact not only in the time, but also in the amount of errors of the users.
  35. 35. TLX WORKLOAD Digits on Laptop Alphanum. on Laptop Words on Laptop Digits on Smartphone Alphanum on Smartphone Words on Smartphone 0.0 300.0 600.0 900.0 1200.0 Frustration Effort Performance Mental Physical Temporal
  36. 36. TLX WORKLOAD NASA TLX frustration scores by condition Frustrationscale score 0.0 50.0 100.0 150.0 200.0 Digits Alphanumeric Words Laptop Smartphone NASA TLX Effort scores by condition Effortscalescore 0.00 55.00 110.00 165.00 220.00 Digits Alphanumeric Words Observing the global results of the data from the TLX, there is a consistent perception from the users that the words- condition is the condition that requires the least effort to use, and presents the lowest levels of frustration in both devices. This means that users feel less pressure and feel less mentally challenged, creating a simpler interaction with the codes.
  37. 37. MEMORABILITY Median amount of glances to the screen by condition Nofglances 0.0 10.5 21.0 31.5 42.0 Digits Alphanumeric Words The results show that in the words- condition the users looked at the screen 1.33 times per code, while the alphanumeric-condition presented 1.81 times per code and the digits-condition 2.02 times per code.
  38. 38. User preferences 0 5 10 15 20 Smartphone Laptop Pairing Process Words Digits Alphanumeric USERS PREFERENCES The users’ preference about the most easy to use code was 85% in the words- condition on Laptop and 80% in the words- condition on Smartphone. When users were asked about not only the ease, but also the security factors, they selected the words- condition above the others, but only in a total of 75%.
  39. 39. The design recommendation for the implementation is to use a three-word based passcode. The experiment showed consistent results in efficiency, user preference and workload, and promising results in error rate and memorability. 3words

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