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FINAL PMD Presentation

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PMD: PERSONAL MOBILE DEVICE OF 2025 D’Shai Hendricks, Chris Johnson, Daniel Levick, Chinna O’Suji, Jamal Rashad-Patterson
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Page 1: FINAL PMD Presentation

PMD: PERSONAL MOBILE DEVICE OF 2025

D’Shai Hendricks, Chris Johnson, Daniel Levick, Chinna O’Suji, Jamal Rashad-Patterson

Page 2: FINAL PMD Presentation

Looking Forward: 2025 Increased integration of technology into

daily lives Amplification of desire for current

luxuriesMusicCustomization of InterfacesMinimization of personal responsibility and

accountability

Page 3: FINAL PMD Presentation

Looking Forward: 2025 Technology orders of magnitude more

powerful (speed, memory) Offloading of heavier computation to

cloud Upward trend of Natural Language

ProcessingSuitable as user interface

Upward trend of Flexible OLED

Page 4: FINAL PMD Presentation

PMD: Keynote Applications Personalized Human-Computer

Interaction Zoomcar Safe Drives Life’s Soundtrack

Page 5: FINAL PMD Presentation

PMD: Personal Assistant

Page 6: FINAL PMD Presentation

PMD: Personal Assistant Personalized algorithms to promote natural

interactions Gathers biometric and contextual information

Improved Affect DetectionCollection of rich interaction history to train algorithms

Speech-based Interaction Update NLP and Affect Detection algorithms of

nearby devicesLarge storage capacity

Short-range wireless minimizes latency and network congestion

Page 7: FINAL PMD Presentation

PMD: ZoomCar

Page 8: FINAL PMD Presentation

PMD: Zoom Car Pre-customization upon entry into

vehicle using stored settings Initially limited to seats, mirrors, radio Long-term extension to other functions Update NLP and Affect Detection

algorithmsImproved interaction with car’s interface

Page 9: FINAL PMD Presentation
Page 10: FINAL PMD Presentation

PMD: Safe Drives

Page 11: FINAL PMD Presentation

PMD: Safe Drives Detection of Blood-Alcohol Level (driver

and passengers) upon entry of vehicleBiometric assessment through PMD

Steering Wheel lock while PMD conducts three-pronged assessmentPresence of an unimpaired driver Autonomous driving capabilitySelection of preset pickup preferences

Page 12: FINAL PMD Presentation

Technical Feasibility U.S. Department of Transportation, The Driver Alcohol

Detection and System for Safety, The Automotive Coalition for Traffic Safety, National Highway Traffic Safety Authority

Tested through skin or breath Ignition Interlock 2021 Accuracy Breathalyzer Respiratory samples from air in the car Placed on steering wheel, car locks, gear shift Tissue spectrometry TruTechnologies – Finger/Hand scan Small, Fast, Temperature Independent, Accurate

Page 13: FINAL PMD Presentation

Autonomous Driving Capability Will not necessarily be commonplace on

commercial level in 2025 If capability present, PMD will initiate

autonomous driving process Nissan, Audi, Google Piloted vs. Driverless Feasibility is no longer a question Technology faster than the law

Page 14: FINAL PMD Presentation

Safe Pick up options Preset rankings of:

Tow from service such as AAA○ Accompanied by one of following options

Cab serviceEmergency contact called for pickup

PMD will assess rankings and contact appropriate optionBased on preference and proximityBreadth-First Search

Entertainment of passengers until ride arrives

Page 15: FINAL PMD Presentation

Marketing Potential Demographics

Men and womenAges: 18-34Alcohol consumers

Decreasing desire for responsibility High cooperation with new technology

More accepting of autonomous driving capabilityLikely to defer responsibility to PMD

Earning PotentialPrepaid fares with convenience feeTow truck services

Page 16: FINAL PMD Presentation

PMD: Life’s Soundtrack

Page 17: FINAL PMD Presentation

PMD: Life’s Soundtrack Personalized musical experience Integration of downloaded music with music

streaming sites User feedback failsafe Assessment of musical tastes based on

context:TimeLocationMoodCompany

Page 18: FINAL PMD Presentation

Time-based Assessment Detection of sleep cycles through

access to biometric data Determines music selection based on

data stored from daily routines Determines user preferences at different

times of dayContextual assessment for music selection

Page 19: FINAL PMD Presentation

Location-based Assessment Improved GPS in 2025 Detection of proximity to certain

locationsPrompt playing of different genres of musicE.g: Entering and leaving gym

Track user music selections in certain locations to suggest similar music

Page 20: FINAL PMD Presentation

Mood-based Assessment Use of indicators:

heart-ratesweat secretionstress level

Music selection to either maintain or reverse mood depending on gathered dataUse of previously mentioned data to confirm

selection

Page 21: FINAL PMD Presentation

Company-based Assessment Recognition of nearby PMD

Selection of songs to please user dependent on present company

Group Music ExperienceRoutine collection and analysis of data receivedTransmission to stereo system in use

Page 22: FINAL PMD Presentation

Technical Feasibility [INSERT NOTES FROM DH]

Page 23: FINAL PMD Presentation

Marketing Potential Demographics

Men and womenMusic listeners

○ Extensive reach but limited to those using newer technology

Height of usage in age range 18-34 Appreciation of new music in different genres Heightened use of music in social settings Increased desire for integration of past times

into daily lives

Page 24: FINAL PMD Presentation

PERSONAL MOBILE DEVICEThe personal device of the future


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