In Rel-18, simple QoE Metrics for AR media will be specified in MeCar WI, which focus on which VR QoE metrics can be reused and enhanced for AR media. This study intends to complement MeCar WI by studying additional and new information related to QoE metrics which are different from VR QoE metrics. QoE metrics typically reflect the expected user experience based on measurable parameters. XR (e.g. AR/MR) user experience is impacted by different aspects, such as the media quality, the rendering capabilities of the device, the tracking capabilities of the devices, etc. In order to identify the impact of different QoE factors, as well as in order to identify how QoE related parameters can be measured in devices, additional detailed study is necessary. Based on this, the present document collects available information in other organizations such as the ITU-T, MPEG-I groups, and provides recommendation on normative work for new XR QoE metrics in such that XR (e.g. AR/MR) user experience can be enhanced with the complete defined QoE metrics.

This document addresses information collection and QoE metrics definition aspects when the XR (e.g. AR/MR) devices are based on the architecture defined in MeCAR WI. The following details are in scope:

• Collect relevant external information on QoE Metrics for AR and XR services, for example taking into account information in ITU-T, MPEG or other groups dealing with quality measurements, include device related QoE metrics, network transmission related QoE metrics, content handling related QoE metrics, and other immersiveness/presence related QoE metrics.
• Documentation of subjective tests results on XR QoE metrics, if considered relevant.
• Identification of relevant XR QoE Metrics and their impacts on the user experience.
• Identification of relevant observation points and define the measurement and derivation of relevant XR QoE metrics in the device architecture based on MeCAR WI.
• Collaboration with relevant groups or specifications on NWDAF, RRC-based metrics configuration and collection.
• Provide recommendation on normative work for new XR QoE metrics based on the findings in this study.

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