Obstacles in enhancing Situational Awareness using AR in ...€¦ · Eye-Wearable Technology for...

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Obstacles in enhancing Situational Awareness using AR in Oil & Gas Industry Siddharth Mehrotra, Prithvi Raj Ramakrishnaraja, Vineet Kamboj siemens.ltd Restricted © Siemens AG 2017

Transcript of Obstacles in enhancing Situational Awareness using AR in ...€¦ · Eye-Wearable Technology for...

Page 1: Obstacles in enhancing Situational Awareness using AR in ...€¦ · Eye-Wearable Technology for Machine Maintenance: Effects of Display Position and Hands-free Operation X S Zheng

Obstacles in enhancing

Situational Awareness using AR

in Oil & Gas Industry Siddharth Mehrotra, Prithvi Raj Ramakrishnaraja, Vineet Kamboj

siemens.ltd Restricted © Siemens AG 2017

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What will be discussing…

• Brief on Research

• Design Process

• Challenges – Enterprise AR obstacles

• Potential needs to be addressed

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Research Area

Oil and gas industry

SA AR

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User Experience Design Considerations

Desirability Feasibility

Viability

Business

Opportunity

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Existing researches

Eye-Wearable Technology for Machine Maintenance: Effects of Display Position and

Hands-free Operation

X S Zheng et al., Siemens Corporate Research, Princeton, NJ, USA

https://dl.acm.org/citation.cfm?id=2702305

Augmented Reality – useful in oil and gas sector?

Martin Kaster (Production Engineer, Maersk Oil)

https://www.imeche.org/news/news-article/augmented-reality---useful-in-the-oil-and-gas-sector

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Different user segments

Image source: Google images

John Smith

• 59 years old

• Lives in Florida

• Works as an Oil Rig expert for remote guidance and also

manual inspections

• Has about 20+ years of work experience

• Motivated to help and guide the industry with his expertise

• Has limited exposure to latest technological advancements

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Process – Stages in product development

Business

Requirements

User

Needs Ideation

Prototyping/

Implementation

Testing/

Iterations

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Problems overview

• Accuracy

Correct contextual information

Pointer location accuracy

Jitter correction

Occlusion etc.

• Field of View

• High User Expectations

• Learnability curve

Less patience to learn

• Energy Hungry Devices

• Human strain due to prolonged usage

• Affordability

• User group

• Business viability

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Problems overview

• Trust

Critical safety operations are still

believed to be better handled by

humans as they need efficient

decision making.

• Environmental disturbances

Noise

Temperature changes

Harsh environments

• Device capability

Solve real time problems

Handle huge data

•`

• Safety

Explosion proof

Unobtrusive design

Emergency standards

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Conclusion – On a high level, these obstacles can be classified as follows

Business

Requirements

User Needs Technology

Readiness

Standards

• Viable Design based on

existing technology

• User Satisfaction

• Growth expectation as the

technology is evolving

• Quick return of investments

• Great expectation

• Quick learnability

• Accuracy

• No strain or additional effort

in using the AR devices

• Able to handle huge data

• Quick learnability

• Accuracy

• No strain or additional effort

in using the AR devices

• Specific Industry

• Privacy

• Usability

• Interaction

• Safety

• Emergency standards

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Future direction

• User optimized AR designs

• Technical advancements to be adopted as they evolve

• Recognize challenges

• Propose and share solutions

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Thank you

Questions?