TY - GEN
T1 - 'Oh! It's Fun Chatting with You!' a Humor-Aware Social Robot Chat Framework
AU - Zhang, Heng
AU - Saood, Adnan
AU - Cardenas, Juan Jose Garcia
AU - Hei, Xiaoxuan
AU - Tapus, Adriana
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - Humor is a key element in human interactions, essential for building connections and rapport. To enhance human-robot communication, we developed a humor-aware chat framework that enables robots to deliver contextually appropriate humor. This framework takes into account the interaction environment, and user's profile as well as emotional state. Two GPT models are used to generate responses. The initial one, named sensor-GPT, processes contextual data from the sensor along with the user's response and conversation history to create prompts for the second one, chat-GPT. These prompts can guide the model on how to integrate appropriate humor elements into the conversation, ensuring that the dialogue is both contextually relevant and humorous. Our experiment compared the effectiveness of humor expression between our framework and the GPT-40 model. The results demonstrate that robots using our framework significantly outperform those using GPT-4o in humor expression, extending conversations, and improving overall interaction quality.
AB - Humor is a key element in human interactions, essential for building connections and rapport. To enhance human-robot communication, we developed a humor-aware chat framework that enables robots to deliver contextually appropriate humor. This framework takes into account the interaction environment, and user's profile as well as emotional state. Two GPT models are used to generate responses. The initial one, named sensor-GPT, processes contextual data from the sensor along with the user's response and conversation history to create prompts for the second one, chat-GPT. These prompts can guide the model on how to integrate appropriate humor elements into the conversation, ensuring that the dialogue is both contextually relevant and humorous. Our experiment compared the effectiveness of humor expression between our framework and the GPT-40 model. The results demonstrate that robots using our framework significantly outperform those using GPT-4o in humor expression, extending conversations, and improving overall interaction quality.
UR - https://www.scopus.com/pages/publications/105016586315
U2 - 10.1109/ICRA55743.2025.11127367
DO - 10.1109/ICRA55743.2025.11127367
M3 - Conference contribution
AN - SCOPUS:105016586315
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 5520
EP - 5526
BT - 2025 IEEE International Conference on Robotics and Automation, ICRA 2025
A2 - Ott, Christian
A2 - Admoni, Henny
A2 - Behnke, Sven
A2 - Bogdan, Stjepan
A2 - Bolopion, Aude
A2 - Choi, Youngjin
A2 - Ficuciello, Fanny
A2 - Gans, Nicholas
A2 - Gosselin, Clement
A2 - Harada, Kensuke
A2 - Kayacan, Erdal
A2 - Kim, H. Jin
A2 - Leutenegger, Stefan
A2 - Liu, Zhe
A2 - Maiolino, Perla
A2 - Marques, Lino
A2 - Matsubara, Takamitsu
A2 - Mavromatti, Anastasia
A2 - Minor, Mark
A2 - O'Kane, Jason
A2 - Park, Hae Won
A2 - Park, Hae-Won
A2 - Rekleitis, Ioannis
A2 - Renda, Federico
A2 - Ricci, Elisa
A2 - Riek, Laurel D.
A2 - Sabattini, Lorenzo
A2 - Shen, Shaojie
A2 - Sun, Yu
A2 - Wieber, Pierre-Brice
A2 - Yamane, Katsu
A2 - Yu, Jingjin
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE International Conference on Robotics and Automation, ICRA 2025
Y2 - 19 May 2025 through 23 May 2025
ER -