92 research outputs found
Playing Pairs with Pepper
As robots become increasingly prevalent in almost all areas of society, the
factors affecting humans trust in those robots becomes increasingly important.
This paper is intended to investigate the factor of robot attributes, looking
specifically at the relationship between anthropomorphism and human development
of trust. To achieve this, an interaction game, Matching the Pairs, was
designed and implemented on two robots of varying levels of anthropomorphism,
Pepper and Husky. Participants completed both pre- and post-test questionnaires
that were compared and analyzed predominantly with the use of quantitative
methods, such as paired sample t-tests. Post-test analyses suggested a positive
relationship between trust and anthropomorphism with of participants
confirming that the robots' adoption of facial features assisted in
establishing trust. The results also indicated a positive relationship between
interaction and trust with of participants confirming this for both
robots post-testComment: Presented at AI-HRI AAAI-FSS, 2018 (arXiv:1809.06606
Using Pupil Diameter to Measure Cognitive Load
In this paper, we will present a method for measuring cognitive load and
online real-time feedback using the Tobii Pro 2 eye-tracking glasses. The
system is envisaged to be capable of estimating high cognitive load states and
situations, and adjust human-machine interfaces to the user's needs. The system
is using well-known metrics such as average pupillary size over time. Our
system can provide cognitive load feedback at 17-18 Hz. We will elaborate on
our results of a HRI study using this tool to show it's functionality.Comment: Presented at AI-HRI AAAI-FSS, 2018 (arXiv:1809.06606
How Can a Robot Signal Its Incapability to Perform a Certain Task to Humans in an Acceptable Manner?
In this paper, a robot that is using politeness to overcome its incapability to serve is presented. The mobile robot “Alex” is interacting with human office colleagues in their environment and delivers messages, phone calls, and companionship. The robot's battery capacity is not sufficient to survive a full working day. Thus, the robot needs to recharge during the day. By doing so it is unavailable for tasks that involve movement. The study presented in this paper supports the idea that an incapability of fullfiling an appointed task can be overcome by politeness and showing appropriate behaviour. The results, reveal that, even the simple adjustment of spoken utterances towards a more polite phrasing can change the human's perception of the robot companion. This change in the perception can be made visible by analysing the human's behaviour towards the robot
The interaction between voice and appearance in the embodiment of a robot tutor
Robot embodiment is, by its very nature, holistic and understanding how various aspects contribute to the user perception of the robot is non-trivial. A study is presented here that investigates whether there is an interaction effect between voice and other aspects of embodiment, such as movement and appearance, in a pedagogical setting. An on-line study was distributed to children aged 11–17 that uses a modified Godspeed questionnaire. We show an interaction effect between the robot embodiment and voice in terms of perceived lifelikeness of the robot. Politeness is a key strategy used in learning and teaching, and here an effect is also observed for perceived politeness. Interestingly, participants’ overall preference was for embodiment combinations that are deemed polite and more like a teacher, but are not necessarily the most lifelike. From these findings, we are able to inform the design of robotic tutors going forward
Social Impact of Recharging Activity in Long-Term HRI and Verbal Strategies to Manage User Expectations During Recharge
Social robots perform tasks to help humans in their daily activities. However, if they fail to fulfill expectations this may affect their acceptance. This work investigates the service degradation caused by recharging, during which the robot is socially inactive. We describe two studies conducted in an ecologically valid office environment. In the first long-term study (3 weeks), we investigated the service degradation caused by the recharging behavior of a social robot. In the second study, we explored the social strategies used to manage users’ expectations during recharge. Our findings suggest that the use of verbal strategies (transparency, apology, and politeness) can make robots more acceptable to users during recharge
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