Transferring knowledge during dyadic interaction: The role of the expert in the learning process

Mireles, Edwin Johnatan Avila; Santis, Dalia De; Morasso, Pietro; Zenzeri, Jacopo

doi:10.1109/embc.2016.7591154

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…4.2.1). The results were consistent with the previous work reporting that dyadic interaction allows the user to estimate the motion intention of the partner based on feedback and modify their motion [4,24,51]. In the Perspective Sharing condition, the participants could improve their performance during the learning phase by observing the translucent teacher avatar's movements and modifying their movements.…”

Section: Higher Improvement Under Conditions With the Teacher's Assis...supporting

confidence: 89%

Effects of Collaborative Training Using Virtual Co-embodiment on Motor Skill Learning

Kodama

Mizuho

Hatada

et al. 2023

IEEE Trans. Visual. Comput. Graphics

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A virtual avatar is controlled based on the weighted average of two users' movements. This is the first study applying virtual co-embodiment to motor skill transfer. The current system is implemented following the work done by Fribourg et al [19]. B) Dual task: Participants draw a seven-pointed star with the right hand and a five-pointed star with the left. We found that learning dual task movements using virtual co-embodiment with a teacher enhances the retention of motor skills compared with sharing the teacher's first-person perspective and learning alone.

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Section: Higher Improvement Under Conditions With the Teacher's Assis...supporting

confidence: 89%

Effects of Collaborative Training Using Virtual Co-embodiment on Motor Skill Learning

Kodama

Mizuho

Hatada

et al. 2023

IEEE Trans. Visual. Comput. Graphics

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“…Although expert-naive groups showed a smaller effort index than naive-naive groups from the beginning of the training, only the naive-naive groups showed any reductions in effort during the experiment (Zenzeri et al, 2011). They first hypothesized that it was important for naive participants to properly explore the space to learn a complete representation of the dynamics of the task (Ḿıreles et al, 2016; Mireles et al, 2017; Galofaro et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Temporal Structure in Haptic Signaling Under a Cooperative Task

Thorne

Honisch

Kondo

et al. 2019

Front. Hum. Neurosci.

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Haptic communication between humans plays an important role in society. Although this form of communication is ubiquitous at all levels of society and of human development, little is known about how synchronized coordination of motion between two persons leads to higher-order cognitive functions used in communication. In this study, we developed a novel experimental paradigm of a coin-collecting task in which participants used their hands to control a rod to jointly collect the coins on the screen. We characterized the haptic interactions between paired participants while they were taking part in a cooperative task. The individual participants first completed this task on their own and then with a randomly assigned partner for the cooperative task. Single participant experiments were used as a baseline to compare results of the paired participants. Forces applied to the rod were translated to four possible haptic states which encode the combination of the haptic interactions. As a next step, pairs of consecutive haptic states were then combined into 16 possible haptic signals which were classified in terms of their temporal patterns using a Tsallis q-exponential function. For paired participants, 80% of the haptic signals could be fit by the Tsallis q-exponential. On the other hand, only 30% of the signals found in the single-participant trials could be fit by the Tsallis q-exponential. This shows a clear difference in the temporal structures of haptic signals when participants are interacting with each other and when they are not. We also found a large difference in the number of haptic signals used by paired participants and singles. Single participants only used 1/4 of the possible haptic signals. Paired participants, on the other hand, used more than half of the possible signals. These results suggest that temporal structures present in haptic communication could be linked to the emergence of language at an evolutionary level.

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