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Augmented reality (AR) interfaces increasingly utilize artificial intelligence systems to tailor content and experiences to the user. We explore the effects of one such system — a recommender system for online shopping — which allows customers to view personalized product recommendations in the physical spaces where they might be used. We describe results of a 2 × 3 condition exploratory study in which recommendation quality was varied across three user interface types. Our results highlight potential differences in user perception of the recommended objects in an AR environment. Specifically, users rate product recommendations significantly higher in AR and in a 3D browser interface, and show a significant increase in trust in the recommender system, compared to a web interface with 2D product images. Through semi-structured interviews, we gather participant feedback which suggests AR interfaces perform better due to their ability to view products within the physical context where they will be used. [ABSTRACT FROM AUTHOR]

Objective: We investigated how increases in task-relevant information affect human decision-making performance, situation awareness (SA), and trust in a simulated command-and-control (C2) environment.Background: Increased information is often associated with an improvement of SA and decision-making performance in networked organizations. However, previous research suggests that increasing information without considering the task relevance and the presentation can impair performance.Method: We used a simulated C2 task across two experiments. Experiment 1 varied the information volume provided to individual participants and measured the speed and accuracy of decision making for task performance. Experiment 2 varied information volume and information reliability provided to two participants acting in different roles and assessed decision-making performance, SA, and trust between the paired participants.Results: In both experiments, increased task-relevant information volume did not improve task performance. In Experiment 2, increased task-relevant information volume reduced self-reported SA and trust, and incorrect source reliability information led to poorer task performance and SA.Conclusion: These results indicate that increasing the volume of information, even when it is accurate and task relevant, is not necessarily beneficial to decision-making performance. Moreover, it may even be detrimental to SA and trust among team members.Application: Given the high volume of available and shared information and the safety-critical and time-sensitive nature of many decisions, these results have implications for training and system design in C2 domains. To avoid decrements to SA, interpersonal trust, and decision-making performance, information presentation within C2 systems must reflect human cognitive processing limits and capabilities. [ABSTRACT FROM AUTHOR]

This article details experiences of researchers with various input devices and modalities and discuss their advantages and drawbacks in the context of interaction tasks in mobile computing. Researchers are motivated to support important tasks in urban environments. Their goal is to provide roaming workers with advanced visualization equipment to improve situational awareness, ease, and effectiveness in their jobs. Thus, researchers show how multimodal interface techniques can stretch the boundaries of the interactional complexity of tasks. INSET: Augmented Reality Uses.

Tracking accuracy in a location-aware mobile system can change dynamically as a function of the user's location and other variables specific to the tracking technologies used This is especially problematic for mobile augmented reality systems, which ideally require extremely precise position tracking for the user's head, but which may not always be able to achieve that level of accuracy. While it is possible to ignore variable positional accuracy in an augmented reality user interface, this can make for a confusing system; for example, when accuracy is low, virtual objects that are nominally registered with real ones may be too far off to be of use. To address this problem, we describe an experimental mobile augmented reality system that: (1) employs multiple position-tracking technologies, including ones that apply heuristics based on environmental knowledge; (2) coordinates these concurrently monitored tracking systems; and (3) automatically adapts the user interface to varying degrees of confidence in tracking accuracy. We share our experiences with managing these multiple tracking technologies, employing various techniques to facilitate smooth and reasonable "hand-off" between the cooperating systems. We present these results in the context of an intelligent navigational guidance system that helps users to orient themselves in an unfamiliar environment, using path planning to guide them toward destinations they choose, and sometimes towards ones the system infers as equally relevant. [ABSTRACT FROM AUTHOR]

Focuses on the design of effective mobile augmented reality (AR) user interfaces. Amount of information available in work on information visualization using desktop technologies; Development of information filtering techniques for AR; Ability of an AR system to provide information at a glance to aid a mobile user exploring an unfamiliar environment.

User interfaces that display dynamic information have the ability to influence decision makers in networked settings where many individuals collaborate. To understand how varying levels of information support affects behavior (cooperation vs. defection) in a social dilemma, a user interface (UI) was developed and an online experiment ( N =901) was conducted based on the iterated Diner’s Dilemma, a version of the n-player Prisoner’s Dilemma. There were 3 main findings: (1) as more UI support was given, participants became more likely to retaliate against defection than they were to initiate defection; (2) participant situation awareness (SA) increased as more UI support was given but decreased in the presence of forgiving co-actors; and (3) the need for UI support to make good decisions was diminished as co-actors became more likely to exploit. These results can inform the design of information support tools for collaborative settings. [ABSTRACT FROM AUTHOR]