User Adaptive Score

The user adaptive score is based on Sentiance driving insights and customized for a specific user population & use case. This model is designed with a default scoring logic that dynamically integrates a portion of the accumulated trips score alongside a portion of the new trip score. The adaptiveness of the score ensures that it is highly personalized, offering nuanced insights that can support targeted engagement strategies and interventions tailored to the unique characteristics of the user base and their respective driving behaviors.

The user adaptive score is updated at the end of every trip

GQL Definition: UserEngagementScore

GQL Path: user.engagement.scores.driving_overall

Similarly there exists a overall score for two-wheelers as well user.engagement.scores.riding_overall

query User($user_id: String) {
  user(user_id: $user_id) {
    engagement {
      scores {
        driving_overall
        // ... Specify other scores
      }
    }
  }
}

Sub Scores

The Dynamic Scoring Model features an adaptive overall score, denoted as [driving|riding]_overall, which represents a comprehensive assessment of a user's driving or riding behavior. In addition to this overarching score, there are specific sub-scores designed to highlight particular aspects of driving or riding behavior

ScoreComment

driving_smooth

Evaluates the smoothness of the driver's actions, including acceleration and braking.

driving_focused

Measures the driver's ability to stay focused on the road without engaging in distracting activities.

driving_no_speeding

Assesses whether the driver adheres to speed limits and avoids speeding.

riding_harsh

Analyzes the rider's control over the vehicle, looking for harsh maneuvers that may indicate risky behavior.

riding_legal

Checks if the rider follows traffic laws, highlighting compliance with road regulations.

riding_call_while_moving

Detects instances of making calls while riding, indicating potential distractions

Example Wireframe


Additional helpful links:

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