Human-Robot Interaction (HRI) has recently received considerable attention in the academic community, in labs, in technology companies, and through the media. Because of this attention, it is desirable to present a survey of HRI to serve as a tutorial to people outside the field and to promote discussion of a unified vision of HRI within the field. The goal of this review is to present a unified treatment of HRI-related problems, to identify key themes, and discuss challenge problems that are likely to shape the field in the near future. Although the review follows a survey structure, the goal of presenting a coherent "story" of HRI means that there are necessarily some well-written, intriguing, and influential papers that are not referenced. Instead of trying to survey every paper, we describe the HRI story from multiple perspectives with an eye toward identifying themes that cross applications. The survey attempts to include papers that represent a fair cross section of the universities, government efforts, industry labs, and countries that contribute to HRI, and a cross section of the disciplines that contribute to the field, such as human, factors, robotics, cognitive psychology, and design.

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Human-Robot Interaction: A Survey

A mobile terminal including a body; a touchscreen provided to a front and extending to side of the body and configured to display content; and a controller configured to detect one side of the body comes into contact with one side of an external terminal, display a first area on the touchscreen corresponding to a contact area of the body and the external terminal and a second area including the content, receive an input of moving the content displayed in the second area to the first area, display the content in the first area, and share the content in the first area with the external terminal.

Mobile terminal and method for controlling the same

PL. EEG correlates of taskengagement and mental workload in vigilance, learning, and memorytasks. Aviat Space Environ Med 2007; 78(5, Suppl.):B23144.Introduction: The ability to continuously and unobtrusively monitorlevels of task engagement and mental workload in an operational envi-ronment could be useful in identifying more accurate and efÞcientmethods for humans to interact with technology. This information couldalso be used to optimize the design of safer, more efÞcient work envi-ronments that increase motivation and productivity. Methods: Thepresent study explored the feasibility of monitoring electroencephalo-graphic (EEG) indices of engagement and workload acquired unobtru-sively and quantiÞed during performance of cognitive tests. EEG wasacquired from 80 healthy participants with a wireless sensor headset(F3-F4,C3-C4,Cz-POz,F3-Cz,Fz-C3,Fz-POz) during tasks including:multi-level forward/backward-digit-span, grid-recall, trails, mental-addi-tion, 20-min 3-Choice Vigilance, and image-learning and memory tests.EEG metrics for engagement and workload were calculated for each 1-sof EEG. Results: Across participants, engagement but not workloaddecreased over the 20-min vigilance test. Engagement and workloadwere signiÞcantly increased during the encoding period of verbal andimage-learning and memory tests when compared with the recognition/recall period. Workload but not engagement increased linearly as levelof difÞculty increased in forward and backward-digit-span, grid-recall,and mental-addition tests. EEG measures correlated with both subjectiveand objective performance metrics. Discussion: These data in combi-nation with previous studies suggest that EEG engagement resects in-formation-gathering, visual processing, and allocation of attention. EEGworkload increases with increasing working memory load and duringproblem solving, integration of information, analytical reasoning, andmay be more resective of executive functions. Inspection of EEG on asecond-by-second timescale revealed associations between workloadand engagement levels when aligned with speciÞc task events providingpreliminary evidence that second-by-second classiÞcations resect pa-rameters of task performance.Keywords: Cognition, neuroergonomics, military operations, brain mon-itoring, human-computer interface, neurophysiology, psychophysiology.

EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks.

One embodiment is directed to a system for enabling two or more users to interact within a virtual world comprising virtual world data, comprising a computer network comprising one or more computing devices, the one or more computing devices comprising memory, processing circuitry, and software stored at least in part in the memory and executable by the processing circuitry to process at least a portion of the virtual world data; wherein at least a first portion of the virtual world data originates from a first user virtual world local to a first user, and wherein the computer network is operable to transmit the first portion to a user device for presentation to a second user, such that the second user may experience the first portion from the location of the second user, such that aspects of the first user virtual world are effectively passed to the second user.

System and method for augmented and virtual reality

A method includes displaying information associated with a first application on a touch-sensitive display, detecting a touch on a touch-sensitive display and determining touch attributes, determining when the touch is a first gesture type based on the touch attributes, and when the touch is determined to be the first gesture type, forwarding information related to the touch to a second application, otherwise forwarding the information related to the touch to the first application.

Portable electronic device and method of controlling same

An automated system and method for monitoring and supporting and actor in an environment, such as a daily living environment. The system includes at least one sensor, at least one effector and a controller adapted to provide monitoring, situation assessment, response planning, and plan execution functions. In one preferred embodiment, the controller provides a layered architecture allowing multiple modules to interact and perform the desired monitoring and support functions.

System and method for automated monitoring, recognizing, supporting, and responding to the behavior of an actor

A method is provided for displaying symbology on a see-through display device in an environment with at least one real-world object. The method includes selecting the at least one real-world object; selecting symbology to display with the at least one real-world object; and conformally displaying the symbology with the at least one real-world object.

Method and system for displaying conformal symbology on a see-through display

Methods are provided for generating a flight plan for an aerial vehicle equipped with a surveillance module by using a control unit having a display device. A method comprises graphically identifying, on a map displayed on the display device, a desired target for the surveillance module. A flight plan generated based on the desired target such that a predicted camera path for the surveillance module overlaps the desired target.

Methods for generating a flight plan for an unmanned aerial vehicle based on a predicted camera path

A method is provided for semi-automatic operation of a portable control device for a remote-controlled, unmanned vehicle. The method includes the steps of monitoring parameters of an operational environment of the portable control device, switching from a manual operation mode to a semi-automatic operation mode in response to occurrence of predetermined criteria within the operational environment, and presenting a semi-automatic operation graphical user interface to a user of the portable control device. The semi-automatic operation graphical user interface includes a reduced set of user interfaces for the semi-automatic operation mode presented by the portable control device.

https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1006&context=imse_patents

Adaptive user interface for semi-automatic operation

A method is provided for modifying input parameters of a touch panel in response to movement of the panel due to vibrations, turbulence, or a "G" force. The method includes sensing movement of a touch panel, the touch panel having a display region requiring a touch to indicate an input defined by the parameter, a threshold of the sensed movement being above which a user may be prevented from physically providing an accurate touch input due to the movement, and modifying the parameter based on the sensed movement being above the threshold. Feedback may be provided and modified in response to the parameter being satisfied by the touch.

Stephen Whitlow

Papers

System and method for automated monitoring, recognizing, supporting, and responding to the behavior of an actor

Method and system for displaying conformal symbology on a see-through display

Methods for generating a flight plan for an unmanned aerial vehicle based on a predicted camera path

Adaptive user interface for semi-automatic operation

Touch screen having adaptive input parameter