Trust in robot–robot scaffolding

Name: Trust in robot–robot scaffolding
Author: Kırtay, M., Hafner, V. V. V., Asada, Minoru, Öztop, Erhan

İsim	Trust in robot–robot scaffolding
Yazar	Kırtay, M., Hafner, V. V. V., Asada, Minoru, Öztop, Erhan
Basım Tarihi:	2023-12-01
Basım Yeri	- IEEE
Konu	Cognitive load, Decision making, Robot trust, Scaffolding, Visual recalling
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2379-8920
Kayıt Numarası	0afbb7d8-f92b-4e0e-ac09-a9e47996c455
Lokasyon	Computer Science
Tarih	2023-12-01
Notlar	Deutsche Forschungsgemeinschaft ; Japan Society for the Promotion of Science ; Osaka University
Örnek Metin	The study of robot trust in humans and other agents is not explored widely despite its importance for the near future human-robot symbiotic societies. Here, we propose that robots should trust partners that tend to reduce their computational load, which is analogous to human cognitive load. We test this idea by adopting an interactive visual recalling task. In the first set of experiments, the robot can get help from online instructors with different guiding strategies to decide which one it should trust based on the computational load it experiences during the experiments. The second set of experiments involves robot-robot interactions. Akin to the robot-online instructor case, the Pepper robot is asked to scaffold the learning of a less capable 'infant' robot (Nao) with or without being equipped with the cognitive abilities of theory of mind and task experience memory to assess the contribution of these cognitive abilities to scaffolding performance. Overall, the results show that robot trust based on computational/cognitive load within a sequential decision-making framework leads to effective partner selection and robot-robot scaffolding. Thus, using the computational load incurred by the cognitive processing of a robot may serve as an internal signal for assessing the trustworthiness of interaction partners.
DOI	10.1109/TCDS.2023.3235974
Cilt	15

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Trust in robot–robot scaffolding

Yazar Kırtay, M., Hafner, V. V. V., Asada, Minoru, Öztop, Erhan

Basım Tarihi 2023-12-01

Basım Yeri - IEEE

Konu Cognitive load, Decision making, Robot trust, Scaffolding, Visual recalling

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2379-8920

Kayıt Numarası 0afbb7d8-f92b-4e0e-ac09-a9e47996c455

Lokasyon Computer Science

Tarih 2023-12-01

Notlar Deutsche Forschungsgemeinschaft ; Japan Society for the Promotion of Science ; Osaka University

Örnek Metin The study of robot trust in humans and other agents is not explored widely despite its importance for the near future human-robot symbiotic societies. Here, we propose that robots should trust partners that tend to reduce their computational load, which is analogous to human cognitive load. We test this idea by adopting an interactive visual recalling task. In the first set of experiments, the robot can get help from online instructors with different guiding strategies to decide which one it should trust based on the computational load it experiences during the experiments. The second set of experiments involves robot-robot interactions. Akin to the robot-online instructor case, the Pepper robot is asked to scaffold the learning of a less capable 'infant' robot (Nao) with or without being equipped with the cognitive abilities of theory of mind and task experience memory to assess the contribution of these cognitive abilities to scaffolding performance. Overall, the results show that robot trust based on computational/cognitive load within a sequential decision-making framework leads to effective partner selection and robot-robot scaffolding. Thus, using the computational load incurred by the cognitive processing of a robot may serve as an internal signal for assessing the trustworthiness of interaction partners.

DOI 10.1109/TCDS.2023.3235974

Cilt 15