Interessante Beiträge rund um das Thema VR

Denke hier im Thread sollte es passen, aber eher auf humorvoller Seite.

Neue Arte Doku über die Toilette, mitsamt einem kleinen Beitrag für VR.

 

Interessanter Beitrag wiedermal von Disrupt und in 360° angefertigt.

 

Recht interessanter Artikel von Springer Link, bezüglich der Privatsphäre in Verbindung mit Eye Tracking und was dieses ermöglicht.


What Does Your Gaze Reveal About You? On the Privacy Implications of Eye Tracking
Technologies to measure gaze direction and pupil reactivity have become efficient, cheap, and compact and are finding increasing use in many fields, including gaming, marketing, driver safety, military, and healthcare. Besides offering numerous useful applications, the rapidly expanding technology raises serious privacy concerns. Through the lens of advanced data analytics, gaze patterns can reveal much more information than a user wishes and expects to give away. Drawing from a broad range of scientific disciplines, this paper provides a structured overview of personal data that can be inferred from recorded eye activities. Our analysis of the literature shows that eye tracking data may implicitly contain information about a user’s biometric identity, gender, age, ethnicity, body weight, personality traits, drug consumption habits, emotional state, skills and abilities, fears, interests, and sexual preferences. Certain eye tracking measures may even reveal specific cognitive processes and can be used to diagnose various physical and mental health conditions. By portraying the richness and sensitivity of gaze data, this paper provides an important basis for consumer education, privacy impact assessments, and further research into the societal implications of eye tracking. Weiterlesen →

Behandelte Gesichtspunkte:

• 1 Introduction
• 2 Inference of Personal Information from Eye Tracking Data
  • 2.1 Biometric Identification
  • 2.2 Monitoring of Mental Workload and Cognitive Processes
  • 2.3 Inference of Personality Traits
  • 2.4 Inference of Cultural Affiliation and Ethnicity
  • 2.5 Skill Assessment
  • 2.6 Age and Gender Recognition
  • 2.7 Inference of Preferences and Aversions
  • 2.8 Detection of Short- and Medium-Term User States
    • Moods and Emotions
    • Fatigue and Sleepiness
    • Intoxication
  • 2.9 Health Assessment
    • Physical Health
    • Mental Health.
    • Substance Use Disorders.
• 3 Discussion and Implications
• 4 Conclusion
• Footnotes
• References

 

Interessantes Panel von der diesjährigen tinyML Summit 2021, bezüglich Energiesparendem Eyetracking mit dem QCC112 Chipset.

 

Habe selber noch nicht reingesehen, könnte aber recht interessant sein.