Effects of adapting to user pitch on rapport perception, behavior, and state with a social robotic learning companion

A systematic review on cross-culture, humor and empathy dimensions in conversational chatbots: the case of second language acquisition

“…(2020) chatbot for the field of educational technology (CBET) To design a chatbot that is domain-specific and sensitive to limited domain inquiries 52 participants CBET is a very efficient information retrieval tool in a certain area Lorenzo et al. (2013) Massively multiuser online learning (MMOL) To propose the construction of a learner role-play to enhance the foreign language abilities of learners 35 international students at the University of Alcalá Such a setting encourages an immersive, creative, and collaborative foreign language learning experience Lubold et al. (2021) Social robot, Quinn To investigate how social conversation and entrainment influence self-reported and behavioral rapport responses 48 college students A social, trainable robot is capable of producing self-reported and linguistic responses that are nuanced and based on individual variations Luo and Cheng (2020) A collaborative multimedia teaching ​model To investigate the use of artificial intelligence technologies in individual foreign language learning N/A An interactive platform for teaching foreign languages Mageira et al.…”

“…(2022) The SAMBuddy Storytelling Cuddle Humor variant dialogue Al-Kaisi et al. (2021) Alice Embedded with a sense of Russian humor Gayathri (2021) Automatic Mega-agent Managed User Guide (AMMU) Emotion detection: Jokes Gonulal (2021) Intelligent personal assistant (IPA): Google Assistant humorous interactions with IPAs Lubold et al. (2021) Social robot Quinn Humorous rapport Dokukina and Gumanova (2020) Vasya The style in which Vasya teaches grammar is really approachable, and she has a fantastic sense of humor as well.…”

“…Twelve studies find that AI chatbots with a good sense of humor are becoming the preferred learning choice for L2 learners to improve their learning outcomes ( Lubold et al., 2021 ; Rzepka et al., 2018 ). Mazur et al.…”

Audio Matters Too: How Audial Avatar Customization Enhances Visual Avatar Customization

“…For example, it is not well understood what the effects of changing the voices of these devices are (e.g., to be more similar to the user). This includes other companion devices, such as robotic learning companions [145,216,243] and other dialogue-capable digital agents [32,118,130].…”

Personalized and personal conversations : designing agents who want to know you

“…Entrainment is a specific case of adaptivity, where a user's interaction styles are directly used to adapt the interaction style of a social agent. For example, Lubold et al (2020) created a social robot that could exert social behavior and used prosodic entrainment; the robot's pitch was altered in real-time to fit the pitch of the user. Users perceived the robot as being more social present because of this adaptivity.…”