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Towards Accessible Conversations in
a Mobile Context for People who
are Deaf or Hard of Hearing
Dhruv Jain, Rachel Franz, Leah Findlater, Jackson
Cannon, Raja Kushalnagar, and Jon Froehlich
University of Washington, Seattle
Gallaudet University
Prior work have investigated communication challenges of DHH people
in stationary contexts such as group meetings and lectures.
Prior work have investigated communication challenges of DHH people
in stationary contexts such as group meetings and lectures.
Moving conversations (e.g., walking) could present new challenges such as
varying background noise and needing to balance visual attention
between looking at the speakers and looking ahead.
Moreover, assistive technologies
like real-time captioning have
been traditionally designed for
stationary context and are not
conducive to mobile scenarios.
AIMS
AIMS
To investigate the needs of DHH people in mobile
conversations such as walking and transit.
1
AIMS
To investigate the needs of DHH people in mobile
conversations such as walking and transit.
To study the possibility of captions on head
mounted displays (HMDs) to support those needs.
1
2
THIS PAPER
THIS PAPER
1. Study 1: Formative interview with 12 DHH
participants on challenges, communication
strategies, and future captioning technology.
THIS PAPER
1. Study 1: Formative interview with 12 DHH
participants on challenges, communication
strategies, and future captioning technology.
2. Study 2: Evaluation of a proof-of-concept
HMD-captioning prototype with 10 DHH
participants in a walking scenario.
Background
and Past Work
OUTLINE
Background
and Past Work
Study 1:
Interview
OUTLINE
Background
and Past Work
Proof-of-Concept
HMD Prototype
Study 1:
Interview
OUTLINE
Background
and Past Work
Proof-of-Concept
HMD Prototype
Study 2:
Evaluation
Study 1:
Interview
OUTLINE
Background
and Past Work
Proof-of-Concept
HMD Prototype
Study 2:
Evaluation
Study 1:
Interview
AUTOMATIC SPEECH RECOGNITION (ASR)
Captions can be generated in two ways:
AUTOMATIC SPEECH RECOGNITION (ASR)
TRAINED TRANSCRIBER
TRAINED TRANSCRIBER
We used a trained transcriber (or real-time captioning).
TRAINED TRANSCRIBER
We used a trained transcriber (or real-time captioning).
Captions from a trained transcriber are typically shown on a
laptop or a large shared screen.
Matthews et al., UbiComp 2006
Thus, researchers have explored mobile and wearable solutions.
Matthews et al., UbiComp 2006
Matthews et al., UbiComp 2006
Though portable, smartphone apps require that users turn their
gaze away from the speaker or environment.
Peng et al., CHI 2018
To reduce this visual split, researchers have used HMD to show captions.
Peng et al., CHI 2018
However, no work has evaluated HMD-based captioning in a
mobile context.
Background
and Past Work
Proof-of-Concept
HMD Prototype
Study 2:
Evaluation
Study 1:
Interview
Background
and Past Work
Proof-of-Concept
HMD Prototype
Study 2:
Evaluation
Study 1:
Interview
Study 1
Study 1
Goal
o To assess the communication needs and potential
technologies for DHH people in mobile contexts.
Study 1
Goal
o To assess the communication needs and potential
technologies for DHH people in mobile contexts.
Participants
o 12 DHH individuals (5 males, 6 females, 1 did not disclose)
o Recruited through email, social media and snowball
sampling
Study 1
Goal
o To assess the communication needs and potential
technologies for DHH people in mobile contexts.
Participants
o 12 DHH individuals (5 males, 6 females, 1 did not disclose)
o Recruited through email, social media and snowball
sampling
Study Method
o Two part semi-structured formative interview in lab-
setting: (i) challenges in a mobile conversation, (ii) ideas
for future captioning technology
o Three mobile scenarios were explicitly explored: walking,
in transit, and recreational.
Background
and Past Work
Proof-of-Concept
HMD Prototype
Study 2:
Evaluation
Study 1:
Interview
Background
and Past Work
Proof-of-Concept
HMD Prototype
Study 2:
Evaluation
Study 1:
Interview
PART 1:
Mobile conversation
challenges
Background
and Past Work
Proof-of-Concept
HMD Prototype
Study 2:
Evaluation
Study 1:
Interview
PART 1:
Mobile conversation
challenges
PART 2:
Captioning
technology design
Background
and Past Work
Proof-of-Concept
HMD Prototype
Study 2:
Evaluation
Study 1:
Interview
PART 1:
Mobile conversation
challenges
Participants had mobile conversations while walking to or from meetings,
classes, and social activities as well as on public transport and in cars.
STUDY 1 PART 1: CHARACTERISTICS
Participants had mobile conversations while walking to or from meetings,
classes, and social activities as well as on public transport and in cars.
Assistive technology use in mobile contexts is rare.
STUDY 1 PART 1: CHARACTERISTICS
“I don't usually use technology other than hearing
aids in moving conversations. I will occasionally use
my phone to type something if it’s impossible to
hear. The [phone] isn't perfect because it demands
that I split my attention and [also] have one [hand]
holding the phone.”
- P12
MOVING CONVERSATION CHALLENGES
STUDY 1 PART 1: CHALLENGES
MOVING CONVERSATION CHALLENGES
• Conversations are brief and shallow
STUDY 1 PART 1: CHALLENGES
MOVING CONVERSATION CHALLENGES
• Conversations are brief and shallow
• Hearing people do not understand and accommodate needs
STUDY 1 PART 1: CHALLENGES
“If I need to look away for some reason, a deaf
person will automatically stop talking and resume
when I’m ready. A spoken conversation doesn’t
have that type of natural stop and start…”
- P10
MOVING CONVERSATION CHALLENGES
• Conversations are brief and shallow
• Hearing people do not understand and accommodate needs
STUDY 1 PART 1: CHALLENGES
MOVING CONVERSATION CHALLENGES
• Conversations are brief and shallow
• Hearing people do not understand and accommodate needs
• Recreational activities are particularly challenging
STUDY 1 PART 1: CHALLENGES
“[In] martial arts: you have an instructor showing
how to move the arms, hands, body, etc. while
talking to describe it. Well if they have to “talk” by
signing, then how the hell do they also show you
how to hold your arms in the proper position?”
- P12
MOVING CONVERSATION CHALLENGES
• Conversations are brief and shallow
• Hearing people do not understand and accommodate needs
• Recreational activities are particularly challenging
STUDY 1 PART 1: CHALLENGES
MOVING CONVERSATION CHALLENGES
• Conversations are brief and shallow
• Hearing people do not understand and accommodate needs
• Recreational activities are particularly challenging
• Challenges of varying space, lighting and background noise
STUDY 1 PART 1: CHALLENGES
Background
and Past Work
Proof-of-Concept
HMD Prototype
Study 2:
Evaluation
Study 1:
Interview
PART 1:
Characteristics
and Challenges
Background
and Past Work
Proof-of-Concept
HMD Prototype
Study 2:
Evaluation
Study 1:
Interview
PART 1:
Characteristics
and Challenges
PART 2:
Captioning
Technology Design
All participants said they would use real-time captioning in at least
one moving conversation scenario (walking, transit or recreational activity).
STUDY 1 PART 2: TECHNOLOGY
All participants said they would use real-time captioning in at least
one moving conversation scenario (walking, transit or recreational activity).
However, some were concerned that captions may affect
conversation quality (N=7).
STUDY 1 PART 2: TECHNOLOGY
- P11
“I always prefer direct communication with hearing
people. If technology or interpreters are involved, there
is always a distance between me and the other person.
It diminishes the quality of the human connection.”
COMPARING DEVICES
SMARTPHONE SMARTWATCH HMD
STUDY 1 PART 2: TECHNOLOGY
HMD Smartphone Smartwatch
Walking N=11 N=1
Transit (bus, car) N=6 N=4 N=1
Recreational N=5 N=4
STUDY 1 PART 2: TECHNOLOGY
HMD Smartphone Smartwatch
Walking N=11 N=1
Transit (bus, car) N=6 N=4 N=1
Recreational N=5 N=4
HMD was most preferred because it would
reduce the visual attention split.
STUDY 1 PART 2: TECHNOLOGY
HMD Smartphone Smartwatch
Walking N=11 N=1
Transit (bus, car) N=6 N=4 N=1
Recreational N=5 N=4
For high-contact sports, some people wanted
smartphone because HMD could fall off.
STUDY 1 PART 2: TECHNOLOGY
HMD Smartphone Smartwatch
Walking N=11 N=1
Transit (bus, car) N=6 N=4 N=1
Recreational N=5 N=4
Smartwatch was the least preferred
because of the small display size.
STUDY 1 PART 2: TECHNOLOGY
DESIGNS SKETCHED BY PARTICIPANTS
STUDY 1 PART 2: TECHNOLOGY
DESIGNS SKETCHED BY PARTICIPANTS
P5: Integrate captioning with car GPS
To reduce having to look at multiple devices
STUDY 1 PART 2: TECHNOLOGY
DESIGNS SKETCHED BY PARTICIPANTS
P5: Integrate captioning with car GPS
To reduce having to look at multiple devices
P2: A wrist worn device
To display captions
STUDY 1 PART 2: TECHNOLOGY
Background
and Past Work
Proof-of-Concept
HMD Prototype
Study 2:
Evaluation
Study 1:
Interview
Background
and Past Work
Proof-of-Concept
HMD Prototype
Study 2:
Evaluation
Study 1:
Interview
“This is third floor of the building.
We have a shop here…”
PROOF OF CONCEPT
“This is third floor of the building.
We have a shop here.
Below, there’s a restroom. ” `
PROOF OF CONCEPT
“This is third floor of
the building. We
have a shop here. ”
PROOF OF CONCEPT
“This is third floor of
the building. We
have a shop here. ”
PROOF OF CONCEPT
Design 1: Captions at a fixed distance from the eyes
Design 2: Captions projected onto a surface
Background
and Past Work
Proof-of-Concept
HMD Prototype
Study 2:
Evaluation
Study 1:
Interview
Background
and Past Work
Proof-of-Concept
HMD Prototype
Study 2:
Evaluation
Study 1:
Interview
Study 2
Study 2
Primary Goal
o To assess whether the use of HMD captions increased
conversation accessibility, and decreased attention
split for walking conversations
Study 2
Primary Goal
o To assess whether the use of HMD captions increased
conversation accessibility, and decreased attention
split for walking conversations
Participants
o 10 DHH individuals; 6 from Study 1
Study 2
Primary Goal
o To assess whether the use of HMD captions increased
conversation accessibility, and decreased attention
split for walking conversations
Participants
o 10 DHH individuals; 6 from Study 1
Part 1: Walking Scenario with HMD
o One researcher conversed with the participant on
casual topics
o Another researcher took observational notes
o The first researcher wore a lapel microphone that
relayed speech to the on-site transcriber
Part 2: Open-ended Interview
o On the experience any feedback to the prototype
All participants used our prototype to understand at least
some part of the conversation while walking.
STUDY 2: RESULTS
`
“With this, you can look where you
want and still follow along with the
conversation.”
- R4
However, four participants found captions to be occasionally distracting.
STUDY 2: RESULTS
When I was trying to formulate my own responses,
I would find the captions quite distracting and, in
cases like that, I wish […] that I could look away
from [the captions], at my discretion.
- R5
High-Level Themes
STUDY 2: RESULTS
High-Level Themes
STUDY 2: RESULTS
High-Level Themes
Visual Split
• Participants used both
speechreading and captions.
• Oral speakers looked at
speakers more than captions.
Sign language users focused
on captions more.
STUDY 2: RESULTS
High-Level Themes
Visual Split
• Participants used both
speechreading and captions.
• Oral speakers looked at
speakers more than captions.
Sign language users focused
on captions more.
Caption Placement
• Split between whether to
show captions in the field of
view (N=6) or above speakers
(N=4).
• All wanted the ability to turn
off the captions when needed.
STUDY 2: RESULTS
High-Level Themes
Visual Split
• Participants used both
speechreading and captions.
• Oral speakers looked at
speakers more than captions.
Sign language users focused
on captions more.
Caption Placement
• Split between whether to
show captions in the field of
view (N=6) or above speakers
(N=4).
• All wanted the ability to turn
off the captions when needed.
Design Suggestions
• Display speaker identification
cues (e.g., name, location).
• Display environmental sounds
(e.g., door opening).
• Display voice tone and
volume.
STUDY 2: RESULTS
Reflection
As the first work to explore communication challenges and technology
design for DHH people in mobile context, we have shown that:
Mobile context offer new challenges and
a new unexplored space for innovation.1
Mobile context offer new challenges and
a new unexplored space for innovation.
Assistive technology in mobile contexts
need to be carefully designed.2
1
DESIGN GUIDELINES
for HMD-Captioning
DESIGN GUIDELINES
for HMD-Captioning
Automatic depth alignment
DESIGN GUIDELINES
for HMD-Captioning
Automatic depth alignment
Adapt to changing context
DESIGN GUIDELINES
for HMD-Captioning
Automatic depth alignment
Adapt to changing context
Convey contextual information
DESIGN GUIDELINES
for HMD-Captioning
Automatic depth alignment
Adapt to changing context
Convey contextual information
Customizable
THE TEAM
djain@uw.edu franzrac@uw.edu leahkf@uw.edu raja.kushalnagar@ga
llaudet.edu
jonf@uw.edujackscan@uw.edu
Towards Accessible Conversations in a Mobile Context
for People who are Deaf or Hard of Hearing
UW
Reality Lab
THE TEAM
SPONSORS
djain@uw.edu franzrac@uw.edu leahkf@uw.edu raja.kushalnagar@ga
llaudet.edu
jonf@uw.edujackscan@uw.edu

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Towards Accessible Conversations in a Mobile Context for People who are Deaf or Hard of Hearing

  • 1. Towards Accessible Conversations in a Mobile Context for People who are Deaf or Hard of Hearing Dhruv Jain, Rachel Franz, Leah Findlater, Jackson Cannon, Raja Kushalnagar, and Jon Froehlich University of Washington, Seattle Gallaudet University
  • 2. Prior work have investigated communication challenges of DHH people in stationary contexts such as group meetings and lectures.
  • 3. Prior work have investigated communication challenges of DHH people in stationary contexts such as group meetings and lectures. Moving conversations (e.g., walking) could present new challenges such as varying background noise and needing to balance visual attention between looking at the speakers and looking ahead.
  • 4. Moreover, assistive technologies like real-time captioning have been traditionally designed for stationary context and are not conducive to mobile scenarios.
  • 6. AIMS To investigate the needs of DHH people in mobile conversations such as walking and transit. 1
  • 7. AIMS To investigate the needs of DHH people in mobile conversations such as walking and transit. To study the possibility of captions on head mounted displays (HMDs) to support those needs. 1 2
  • 9. THIS PAPER 1. Study 1: Formative interview with 12 DHH participants on challenges, communication strategies, and future captioning technology.
  • 10. THIS PAPER 1. Study 1: Formative interview with 12 DHH participants on challenges, communication strategies, and future captioning technology. 2. Study 2: Evaluation of a proof-of-concept HMD-captioning prototype with 10 DHH participants in a walking scenario.
  • 12. Background and Past Work Study 1: Interview OUTLINE
  • 13. Background and Past Work Proof-of-Concept HMD Prototype Study 1: Interview OUTLINE
  • 14. Background and Past Work Proof-of-Concept HMD Prototype Study 2: Evaluation Study 1: Interview OUTLINE
  • 15. Background and Past Work Proof-of-Concept HMD Prototype Study 2: Evaluation Study 1: Interview
  • 16. AUTOMATIC SPEECH RECOGNITION (ASR) Captions can be generated in two ways:
  • 19. TRAINED TRANSCRIBER We used a trained transcriber (or real-time captioning).
  • 20. TRAINED TRANSCRIBER We used a trained transcriber (or real-time captioning). Captions from a trained transcriber are typically shown on a laptop or a large shared screen.
  • 21. Matthews et al., UbiComp 2006 Thus, researchers have explored mobile and wearable solutions.
  • 22. Matthews et al., UbiComp 2006
  • 23. Matthews et al., UbiComp 2006 Though portable, smartphone apps require that users turn their gaze away from the speaker or environment.
  • 24. Peng et al., CHI 2018 To reduce this visual split, researchers have used HMD to show captions.
  • 25. Peng et al., CHI 2018
  • 26. However, no work has evaluated HMD-based captioning in a mobile context.
  • 27. Background and Past Work Proof-of-Concept HMD Prototype Study 2: Evaluation Study 1: Interview
  • 28. Background and Past Work Proof-of-Concept HMD Prototype Study 2: Evaluation Study 1: Interview
  • 30. Study 1 Goal o To assess the communication needs and potential technologies for DHH people in mobile contexts.
  • 31. Study 1 Goal o To assess the communication needs and potential technologies for DHH people in mobile contexts. Participants o 12 DHH individuals (5 males, 6 females, 1 did not disclose) o Recruited through email, social media and snowball sampling
  • 32. Study 1 Goal o To assess the communication needs and potential technologies for DHH people in mobile contexts. Participants o 12 DHH individuals (5 males, 6 females, 1 did not disclose) o Recruited through email, social media and snowball sampling Study Method o Two part semi-structured formative interview in lab- setting: (i) challenges in a mobile conversation, (ii) ideas for future captioning technology o Three mobile scenarios were explicitly explored: walking, in transit, and recreational.
  • 33. Background and Past Work Proof-of-Concept HMD Prototype Study 2: Evaluation Study 1: Interview
  • 34. Background and Past Work Proof-of-Concept HMD Prototype Study 2: Evaluation Study 1: Interview PART 1: Mobile conversation challenges
  • 35. Background and Past Work Proof-of-Concept HMD Prototype Study 2: Evaluation Study 1: Interview PART 1: Mobile conversation challenges PART 2: Captioning technology design
  • 36. Background and Past Work Proof-of-Concept HMD Prototype Study 2: Evaluation Study 1: Interview PART 1: Mobile conversation challenges
  • 37. Participants had mobile conversations while walking to or from meetings, classes, and social activities as well as on public transport and in cars. STUDY 1 PART 1: CHARACTERISTICS
  • 38. Participants had mobile conversations while walking to or from meetings, classes, and social activities as well as on public transport and in cars. Assistive technology use in mobile contexts is rare. STUDY 1 PART 1: CHARACTERISTICS
  • 39. “I don't usually use technology other than hearing aids in moving conversations. I will occasionally use my phone to type something if it’s impossible to hear. The [phone] isn't perfect because it demands that I split my attention and [also] have one [hand] holding the phone.” - P12
  • 40. MOVING CONVERSATION CHALLENGES STUDY 1 PART 1: CHALLENGES
  • 41. MOVING CONVERSATION CHALLENGES • Conversations are brief and shallow STUDY 1 PART 1: CHALLENGES
  • 42. MOVING CONVERSATION CHALLENGES • Conversations are brief and shallow • Hearing people do not understand and accommodate needs STUDY 1 PART 1: CHALLENGES
  • 43. “If I need to look away for some reason, a deaf person will automatically stop talking and resume when I’m ready. A spoken conversation doesn’t have that type of natural stop and start…” - P10
  • 44. MOVING CONVERSATION CHALLENGES • Conversations are brief and shallow • Hearing people do not understand and accommodate needs STUDY 1 PART 1: CHALLENGES
  • 45. MOVING CONVERSATION CHALLENGES • Conversations are brief and shallow • Hearing people do not understand and accommodate needs • Recreational activities are particularly challenging STUDY 1 PART 1: CHALLENGES
  • 46. “[In] martial arts: you have an instructor showing how to move the arms, hands, body, etc. while talking to describe it. Well if they have to “talk” by signing, then how the hell do they also show you how to hold your arms in the proper position?” - P12
  • 47. MOVING CONVERSATION CHALLENGES • Conversations are brief and shallow • Hearing people do not understand and accommodate needs • Recreational activities are particularly challenging STUDY 1 PART 1: CHALLENGES
  • 48. MOVING CONVERSATION CHALLENGES • Conversations are brief and shallow • Hearing people do not understand and accommodate needs • Recreational activities are particularly challenging • Challenges of varying space, lighting and background noise STUDY 1 PART 1: CHALLENGES
  • 49. Background and Past Work Proof-of-Concept HMD Prototype Study 2: Evaluation Study 1: Interview PART 1: Characteristics and Challenges
  • 50. Background and Past Work Proof-of-Concept HMD Prototype Study 2: Evaluation Study 1: Interview PART 1: Characteristics and Challenges PART 2: Captioning Technology Design
  • 51. All participants said they would use real-time captioning in at least one moving conversation scenario (walking, transit or recreational activity). STUDY 1 PART 2: TECHNOLOGY
  • 52. All participants said they would use real-time captioning in at least one moving conversation scenario (walking, transit or recreational activity). However, some were concerned that captions may affect conversation quality (N=7). STUDY 1 PART 2: TECHNOLOGY
  • 53. - P11 “I always prefer direct communication with hearing people. If technology or interpreters are involved, there is always a distance between me and the other person. It diminishes the quality of the human connection.”
  • 54. COMPARING DEVICES SMARTPHONE SMARTWATCH HMD STUDY 1 PART 2: TECHNOLOGY
  • 55. HMD Smartphone Smartwatch Walking N=11 N=1 Transit (bus, car) N=6 N=4 N=1 Recreational N=5 N=4 STUDY 1 PART 2: TECHNOLOGY
  • 56. HMD Smartphone Smartwatch Walking N=11 N=1 Transit (bus, car) N=6 N=4 N=1 Recreational N=5 N=4 HMD was most preferred because it would reduce the visual attention split. STUDY 1 PART 2: TECHNOLOGY
  • 57. HMD Smartphone Smartwatch Walking N=11 N=1 Transit (bus, car) N=6 N=4 N=1 Recreational N=5 N=4 For high-contact sports, some people wanted smartphone because HMD could fall off. STUDY 1 PART 2: TECHNOLOGY
  • 58. HMD Smartphone Smartwatch Walking N=11 N=1 Transit (bus, car) N=6 N=4 N=1 Recreational N=5 N=4 Smartwatch was the least preferred because of the small display size. STUDY 1 PART 2: TECHNOLOGY
  • 59. DESIGNS SKETCHED BY PARTICIPANTS STUDY 1 PART 2: TECHNOLOGY
  • 60. DESIGNS SKETCHED BY PARTICIPANTS P5: Integrate captioning with car GPS To reduce having to look at multiple devices STUDY 1 PART 2: TECHNOLOGY
  • 61. DESIGNS SKETCHED BY PARTICIPANTS P5: Integrate captioning with car GPS To reduce having to look at multiple devices P2: A wrist worn device To display captions STUDY 1 PART 2: TECHNOLOGY
  • 62. Background and Past Work Proof-of-Concept HMD Prototype Study 2: Evaluation Study 1: Interview
  • 63. Background and Past Work Proof-of-Concept HMD Prototype Study 2: Evaluation Study 1: Interview
  • 64. “This is third floor of the building. We have a shop here…” PROOF OF CONCEPT
  • 65. “This is third floor of the building. We have a shop here. Below, there’s a restroom. ” ` PROOF OF CONCEPT
  • 66. “This is third floor of the building. We have a shop here. ” PROOF OF CONCEPT
  • 67. “This is third floor of the building. We have a shop here. ” PROOF OF CONCEPT
  • 68. Design 1: Captions at a fixed distance from the eyes Design 2: Captions projected onto a surface
  • 69. Background and Past Work Proof-of-Concept HMD Prototype Study 2: Evaluation Study 1: Interview
  • 70. Background and Past Work Proof-of-Concept HMD Prototype Study 2: Evaluation Study 1: Interview
  • 72. Study 2 Primary Goal o To assess whether the use of HMD captions increased conversation accessibility, and decreased attention split for walking conversations
  • 73. Study 2 Primary Goal o To assess whether the use of HMD captions increased conversation accessibility, and decreased attention split for walking conversations Participants o 10 DHH individuals; 6 from Study 1
  • 74. Study 2 Primary Goal o To assess whether the use of HMD captions increased conversation accessibility, and decreased attention split for walking conversations Participants o 10 DHH individuals; 6 from Study 1 Part 1: Walking Scenario with HMD o One researcher conversed with the participant on casual topics o Another researcher took observational notes o The first researcher wore a lapel microphone that relayed speech to the on-site transcriber Part 2: Open-ended Interview o On the experience any feedback to the prototype
  • 75. All participants used our prototype to understand at least some part of the conversation while walking. STUDY 2: RESULTS
  • 76. ` “With this, you can look where you want and still follow along with the conversation.” - R4
  • 77. However, four participants found captions to be occasionally distracting. STUDY 2: RESULTS
  • 78. When I was trying to formulate my own responses, I would find the captions quite distracting and, in cases like that, I wish […] that I could look away from [the captions], at my discretion. - R5
  • 81. High-Level Themes Visual Split • Participants used both speechreading and captions. • Oral speakers looked at speakers more than captions. Sign language users focused on captions more. STUDY 2: RESULTS
  • 82. High-Level Themes Visual Split • Participants used both speechreading and captions. • Oral speakers looked at speakers more than captions. Sign language users focused on captions more. Caption Placement • Split between whether to show captions in the field of view (N=6) or above speakers (N=4). • All wanted the ability to turn off the captions when needed. STUDY 2: RESULTS
  • 83. High-Level Themes Visual Split • Participants used both speechreading and captions. • Oral speakers looked at speakers more than captions. Sign language users focused on captions more. Caption Placement • Split between whether to show captions in the field of view (N=6) or above speakers (N=4). • All wanted the ability to turn off the captions when needed. Design Suggestions • Display speaker identification cues (e.g., name, location). • Display environmental sounds (e.g., door opening). • Display voice tone and volume. STUDY 2: RESULTS
  • 85. As the first work to explore communication challenges and technology design for DHH people in mobile context, we have shown that:
  • 86. Mobile context offer new challenges and a new unexplored space for innovation.1
  • 87. Mobile context offer new challenges and a new unexplored space for innovation. Assistive technology in mobile contexts need to be carefully designed.2 1
  • 90. DESIGN GUIDELINES for HMD-Captioning Automatic depth alignment Adapt to changing context
  • 91. DESIGN GUIDELINES for HMD-Captioning Automatic depth alignment Adapt to changing context Convey contextual information
  • 92. DESIGN GUIDELINES for HMD-Captioning Automatic depth alignment Adapt to changing context Convey contextual information Customizable
  • 93. THE TEAM djain@uw.edu franzrac@uw.edu leahkf@uw.edu raja.kushalnagar@ga llaudet.edu jonf@uw.edujackscan@uw.edu
  • 94. Towards Accessible Conversations in a Mobile Context for People who are Deaf or Hard of Hearing UW Reality Lab THE TEAM SPONSORS djain@uw.edu franzrac@uw.edu leahkf@uw.edu raja.kushalnagar@ga llaudet.edu jonf@uw.edujackscan@uw.edu