Understanding Users Preferences for Augmented Reality Television We examine usersu0027 preferences for Augmented Reality for television and report findings from an exploratory study with 172 participants we conducted to understand the perceived value of twenty distinct ARTV scenarios. We connect our findings to participantsu0027 overall perceptions of and experience with AR technology as well as to their selfreported television watching behavior. Our results reveal high perceived value for ARTV scenarios involving interactive content, wallsized and roomsized video projections, multiple perspectives of the same movie scene, and for virtual objects coming out of the TV screen into the room. Other scenarios, such as live video of remote friends watching the same broadcast or multiple virtual channels displayed around the TV screen were rated less valuable.

Is Any Room Really OK? The Effect of Room Size and Furniture on Presence, Narrative Engagement, and Usability During a SpaceAdaptive Augmented Reality Game One of the main challenges in creating narrativedriven Augmented Reality (AR) content for Head Mounted Displays (HMDs) is to make them equally accessible and enjoyable in different types of indoor environments. However, little has been studied in regards to whether such content can indeed provide similar, if not the same, levels of experience across different spaces. To gain more understanding towards this issue, we examine the effect of room size and furniture on the player experience of Fragments, a spaceadaptive, indoor AR crimesolving game created for the Microsoft HoloLens. The study compares factors of player experience in four types of spatial conditions: (1) Large Room  Fully Furnished; (2) Large Room  Scarcely Furnished; (3) Small Room  Fully Furnished; and (4) Small Room  Scarcely Furnished. Our results show that while large spaces facilitate a higher sense of presence and narrative engagement, fullyfurnished rooms raise perceived workload. Based on our findings, we propose design suggestions that can support narrativedriven, spaceadaptive indoor HMDbased AR content in delivering optimal experiences for various types of rooms.