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While visual search for targets within a complex scene might benefit fromusing augmented-reality (AR) head-mounted display (HMD) technologies helping toefficiently direct human attention, imperfectly reliable automation supportcould manifest in occasional errors. The current study examined theeffectiveness of different HMD cues that might support visual searchperformance and their respective consequences following automation errors.Fifty-six participants searched a 3D environment containing 48 objects in aroom, in order to locate a target object that was viewed prior to each trial.They searched either unaided or assisted by one of three HMD types of cues: anarrow pointing to the target, a plan-view minimap highlighting the target, anda constantly visible icon depicting the appearance of the target object. Thecue was incorrect on 17% of the trials for one group of participants and 100%correct for the second group. Through both analysis and modeling of both searchspeed and accuracy, the results indicated that the arrow and minimap cuesdepicting location information were more effective than the icon cue depictingvisual appearance, both overall, and when the cue was correct. However, therewas a tradeoff on the infrequent occasions when the cue erred. The mosteffective AR-based cue led to a greater automation bias, in which the cue wasmore often blindly followed without careful examination of the raw images. Theresults speak to the benefits of augmented reality and the need to examinepotential costs when AR-conveyed information may be incorrect because ofimperfectly reliable systems.

Fast, Accurate, but Sometimes Too-Compelling Support: The Impact of  Imperfectly Automated Cues in an Augmented Reality Head-Mounted Display on  Visual Search Performance