Physical Collaboration of Human-Human and Human-Robot Teams

Reed, Kyle B.; Peshkin, Michael A.

doi:10.1109/toh.2008.13

Cited by 199 publications

(175 citation statements)

References 52 publications

Supporting

Mentioning

168

Contrasting

Order By: Relevance

“…This work is a preliminary study that investigates the benefits of guidance with collaborative role exchange mechanisms over simple guidance methods. Recent studies on collaborative dyadic interaction displayed the need to define certain roles for the partners [9,13,2]. However, defining the roles for a guidance scheme by examining human-human communication and replicating this interaction by replacing one of the dyads by the computer as a mean of providing guidance proves to be nontrivial especially as the task gets more complicated.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Haptic negotiation and role exchange for collaboration in virtual environments

Oguz

Küçükyılmaz

Sezgin

et al. 2010

2010 IEEE Haptics Symposium

View full text Add to dashboard Cite

We investigate how collaborative guidance can be realized in multimodal virtual environments for dynamic tasks involving motor control. Haptic guidance in our context can be defined as any form of force/tactile feedback that the computer generates to help a user execute a task in a faster, more accurate, and subjectively more pleasing fashion. In particular, we are interested in determining guidance mechanisms that best facilitate task performance and arouse a natural sense of collaboration. We suggest that a haptic guidance system can be further improved if it is supplemented with a role exchange mechanism, which allows the computer to adjust the forces it applies to the user in response to his/her actions. Recent work on collaboration and role exchange presented new perspectives on defining roles and interaction. However existing approaches mainly focus on relatively basic environments where the state of the system can be defined with a few parameters. We designed and implemented a complex and highly dynamic multimodal game for testing our interaction model. Since the state space of our application is complex, role exchange needs to be implemented carefully. We defined a novel negotiation process, which facilitates dynamic communication between the user and the computer, and realizes the exchange of roles using a three-state finite state machine. Our preliminary results indicate that even though the negotiation and role exchange mechanism we adopted does not improve performance in every evaluation criteria, it introduces a more personal and humanlike interaction model.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Reed and Peshkin [9] examine dyadic interaction to illustrate that partners specialize as accelerators and decelerators within a simple collaborative task. The specialization is said to be subconscious and occurs after several trials but improves performance.…”

Section: Introductionmentioning

confidence: 99%

Haptic negotiation and role exchange for collaboration in virtual environments

Oguz

Küçükyılmaz

Sezgin

et al. 2010

2010 IEEE Haptics Symposium

View full text Add to dashboard Cite

show abstract

“…In particular, a declarative, subjective, evaluation of presence in virtual and remote environments was shown to be unreliable, and behavioral, objective, presence measures, such as postural responses, were suggested (Freeman et al, 2000). In the context of human-robot interaction, (Reed & Peshkin, 2008) showed that while participants who interacted with a robotic partner reported that they interacted with a human in the verbal Turing test, they did not reach the same level of performance as in human-human dyad.…”

Section: Discussionmentioning

confidence: 99%

Three Alternatives to Measure the Human-Likeness of a Handshake Model in a Turing-like Test

Nisky

Avraham

Karniel

2012

Presence: Teleoperators and Virtual Environments

View full text Add to dashboard Cite

In the Turing test, a computer model is deemed to "think intelligently" if it can generate answers indistinguishable from those of a human. We proposed a Turing-like handshake test for testing motor aspects of machine intelligence. The test is administered through a telerobotic system in which an interrogator holds a robotic stylus and interacts with another party -human, artificial, or linear combination of the two. Here, we analyze and test experimentally the properties of three versions of the Turing like handshake test: Pure, Weighted, and Noise. We follow the framework of signal detection theory, and propose a simplified model for the interrogator human likeness evaluation; we simulate this model and provide an assessment of the statistical power of each version of the handshake test. Our simulation study suggests that the choice of the best test depends on how well the interrogator identifies a human handshake when compared with a model. The Pure test is better for intermediate and large levels of interrogator confusion, and the Weighted and Noise tests are good for low levels of confusion. We then present the results of an experimental study in which we compare between three simple models for human handshake. We demonstrate that Accepted for publication, PRESENCE, MIT Press, 2012 2 it is possible to distinguish between these handshake models, and discuss the relative advantage of each measure and future possible handshake models and Turing-like tests, in measuring and promoting the design of human-like robots for robotics rehabilitation, teleoperation and telepresence.

show abstract

“…The definition of roles in haptic collaboration is an emerging topic. Reed and Peshkin [13] suggested specialization behaviors such as accelerator and decelerator roles in a target acquisition task. These roles were extracted regarding the interaction of two human operators.…”

Section: Related Workmentioning

confidence: 99%

Conveying intentions through haptics in human-computer collaboration

Küçükyılmaz

Sezgin

Başdoğan

2011

2011 IEEE World Haptics Conference

View full text Add to dashboard Cite

Haptics has been used as a natural way for humans to communicate with computers in collaborative virtual environments. Humancomputer collaboration is typically achieved by sharing control of the task between a human and a computer operator. An important research challenge in the field addresses the need to realize intention recognition and response, which involves a decision making process between the partners. In an earlier study [11], we implemented a dynamic role exchange mechanism, which realizes decision making by means of trading the parties' control levels on the task. This mechanism proved to show promise of a more intuitive and comfortable communication. Here, we extend our earlier work to further investigate the utility of a role exchange mechanism in dynamic collaboration tasks. An experiment with 30 participants was conducted to compare the utility of a role exchange mechanism with that of a shared control scheme where the human and the computer share control equally at all times. A no guidance condition is considered as a base case to present the benefits of these two guidance schemes more clearly. Our experiment show that the role exchange scheme maximizes the efficiency of the user, which is the ratio of the work done by the user within the task to the energy spent by her. Furthermore, we explored the added benefits of explicitly displaying the control state by embedding visual and vibrotactile sensory cues on top of the role exchange scheme. We observed that such cues decrease performance slightly, probably because they introduce an extra cognitive load, yet they improve the users' sense of collaboration and interaction with the computer. These cues also create a stronger sense of trust for the user towards her partner's control over the task.

show abstract

Physical Collaboration of Human-Human and Human-Robot Teams

Cited by 199 publications

References 52 publications

Haptic negotiation and role exchange for collaboration in virtual environments

Haptic negotiation and role exchange for collaboration in virtual environments

Three Alternatives to Measure the Human-Likeness of a Handshake Model in a Turing-like Test

Conveying intentions through haptics in human-computer collaboration

Contact Info

Product

Resources

About