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Showing posts with label Human Performance. Show all posts
Showing posts with label Human Performance. Show all posts

Tuesday, October 2, 2012

Prediction of Human Behavior in Human – Robot Interaction Using Psychological Scales for Anxiety and Negative Attitudes Toward Robots


Tatsuya Nomura, Takayuki Kanda, Tomoshiro Suzuki, Kensuke Kato
IEEE Transactions on Robotics, Vol. 24, No. 2, April 2008
Summary
                  Robot are being capable to operate more and more together with humans, but still it may be into account that not all people may accept novel robots, as for Joinson (2002), opinions toward novel communication technologies tend to be highly polarized, so people might have negative attitudes and emotions toward novel robots. Studies have been done to understand the effects of human robot interaction on humans’ behavior, but non of them has addressed which kind of person might have difficulties in relating with robots and investigations on which kind of negative attitudes or emotions haven’t been done. The authors focus on anxiety and negative attitudes toward robots. In psychology attitude is defined as a relatively stable and enduring predisposition to behave in a certain way toward other people or element surrounding, while anxiety is defined as an apprehension state of the future about a specific fear. Anxiety is classified in trait anxiety (the trend of anxiety as a stable characteristic) and state anxiety (which is transiently evoked in specific situation that change according on situation and time). NARS is developed to determine human attitudes towards robots, the authors investigates mainly 3 possible states: S1) negative attitude toward social influence of robots; S2) Negative attitude toward the social influence of robots; S3) negative attitude toward emotional interaction with robots. A questionnaire has been performed (page 444). RAS is developed for measuring human anxiety toward robots evoked in real and imaginary HRI situations, in this case the these possible states issued are: S1) Anxiety toward communication capacity of robots; S2) Anxiety toward behavioral characteristics of robots; S3) Anxiety toward discourse with robots. Also in this case a questionnaire has been performed. Computer anxiety could be associated with robot anxiety, although it is a kind of state anxiety, while robot anxiety is only weakly correlated with state anxiety. These psychological scales in HRI may been useful, if we consider for example Friedman et. Al analyzed analyzed online discussion on the Aibo forum and found that people are not enthusiastic about a robotic dog, but are aware it’s a robot while interacting with it.  The authors performed an experiment on university student in Japan using “Robovie”, a human-like robot designed for communication with robots and provided with different kind of sensor systems. The experiment involved the subjects compile the questionnaire for NARS and RAS, walk into the room where the robot was and greet it, they were asked to enter in the room alone and move in front of the robot, then they had to talk for 30 seconds with the robot, after which Robotvie would interact with the subjects asking questions, after the answer the subjects would be asked to touch the robot. At the end of the experiment each subject was asked to respond the RAS once again to check differences with the previously answered survey. Parameters to be tested appear to be: D) distance from the robot at first sight; U1) time before subject talked after entering the room; U2) time after which the subject replied to the robot; T) time before the subject touched the robot.
Key Concepts
Human Robot Interaction, Effect of Robot on Human behavior
Key Results
The experiments shows that for that: male have positive relations between U1 and RAS-S3, T and RAS-S1, T and RAS-S2 and negative influence is between U1 and NARS-S1, T and NARS-S3 and also NARS-S2, although not statistically significant. For women positive influence is between D and RAS-S1 ad NARS-S1, NARS-S3 and U2 and negatively between D and NARS-S2. No significant different was therefore noted between genders. Subjects with emotional utterances toward robots were found with higher negative attitude and anxiety toward interaction with robots than those with no-emotional utterances. Some correlation per gender were find between NARS and RAS. The paper demonstrates influence attitude have from robotics. 

Monday, October 1, 2012

Effect of Augmented Reality Display Settings on Human Wayfinding Performance


Brian F. Goldiez, Ali M. Ahmad and Peter A. Hancock
IEEE Transactions on Systems, Man and Cybernetics – Part C: Applications and Reviews, VOL.37, NO.5, September 2007
Summary
                  Augmented Reality (AR) is intended to overlay information on a real world representation, whereas Virtual Reality (VR) is intended to be a virtual representation of a certain environment in which the human is fully immersed. AR is characterized by 3 fundamental factors: real time operation, 2) spatially and temporally registered data, 3) interactivity. Information can be added in 3 main ways: information that is not directly regarding the scene (as for heads up display in an aircraft), information meant to be fused with reality and portraying information which is not immediately viewable in the scene without the use of augmentation.
With current technologies performance in wayfinding (the operator’s ability of acquiring landmarks, routes and survey knowledge about an area) can be measured. The authors perform an experiment to test different performances with different display configurations in the case of search and rescue conditions, where minimization of wayfinding time is necessary in order to ensure safety conditions. The Bettlefield Augmented Reality System (BARS), developed by the Naval Research Laboratory is used for the experiment, being a divice nearly to be effectively used, as for example the U.S. Army is using a similar one in thir Objective Force Warrior Program.
VR and AR obviously share common technologies, being the first having problems in wayfinding problems lacking of navigational metaphors. Navigation behavior studies appear to be useful in this literature for a better understanding of the final result, it appears in fact that humans tend to create cognitive maps of areas based on how they obtain the spatial information, while it is known that learning takes time and consumes memory. It is demonstrated that egocentric (track-up) maps tend to be disorienting when missing of proper configuration.
The aim of AR is to increase the final symbiosis between the user and the equipment.
·       Experiment
The researches proposed two hypothesis, the first is for proving that AR maps will improve performance in term of user’s speed and accuracy in a search and rescue wayfinding, the second for proving that “on demand” map display will reduce time and improve as well accuracy in the users traversing of the maze.
The users were asked to traverse the maze and later get back, the second task was achieving missions by finding objects located in the map and answer survey once arrived in these locations (Guilford – Zimmerman Aptitude Survey, which is for analyze people’s spatial abilities). The experiment was designed for a group of people with no map but a compass, a group with a map, a group with a egocentric control with on demand map, egocentric control with permanent map, group with a exocentric control with on demand map and a group with a exocentric control with permanent map.
Key Concepts
Augmented Reality, Human Performance
Key Results
The first hypothesis was demonstrated to be proven, in particular on demand display availability resulted in improved capability, the control map treatment was statistically better than the egocentric continuous or egocentric on-demand display treatments.
The second hypothesis was demonstrated to be partially met, in fact the improved performance by exocentric “on-demand” treatment compared with the control treatment, but the strength of Cohen’s value had a moderate value, this may be due to infrequent anomalies in the device itself. AR can therefore be used to minimize divided attention, but the display should either be integral to the scene or minimize, to minimize attention issue.