TY - GEN
T1 - Age-Old Gesture
T2 - 33rd IEEE International Conference on Robot and Human Interactive Communication, ROMAN 2024
AU - Van Otterdijk, Marieke
AU - Kwak, Dongho
AU - Baselizadeh, Adel
AU - Lindblom, Diana Saplacan
AU - Torresen, Jim
PY - 2024
Y1 - 2024
N2 - Successfully implementing robots to support senior adults requires their acceptance. Leveraging nonverbal communication could enhance the ease and intuitiveness of accepting robot assistance. However, it is essential to see how different age groups understand nonverbal communication cues to understand the dynamics between different user groups and assistive robots. Our research specifically delves into the intuitive understanding of handshaking gestures across multiple interactions, focusing on seniors (between 70 and 97) and young (21 and 26) adults. Through a combination of observations and open-ended surveys, we conducted a video observation and thematic analysis. Interestingly, our findings indicate no significant differences between the two age groups, except for reactions and interaction time variables. Furthermore, we report on possible motivations behind the initial reactions in the two age groups, familiarity, and ways to improve the overall Human-Robot Interaction experience potentially.
AB - Successfully implementing robots to support senior adults requires their acceptance. Leveraging nonverbal communication could enhance the ease and intuitiveness of accepting robot assistance. However, it is essential to see how different age groups understand nonverbal communication cues to understand the dynamics between different user groups and assistive robots. Our research specifically delves into the intuitive understanding of handshaking gestures across multiple interactions, focusing on seniors (between 70 and 97) and young (21 and 26) adults. Through a combination of observations and open-ended surveys, we conducted a video observation and thematic analysis. Interestingly, our findings indicate no significant differences between the two age groups, except for reactions and interaction time variables. Furthermore, we report on possible motivations behind the initial reactions in the two age groups, familiarity, and ways to improve the overall Human-Robot Interaction experience potentially.
UR - http://www.scopus.com/inward/record.url?scp=85209788614&partnerID=8YFLogxK
U2 - 10.1109/RO-MAN60168.2024.10731393
DO - 10.1109/RO-MAN60168.2024.10731393
M3 - Conference contribution
T3 - IEEE International Workshop on Robot and Human Communication, RO-MAN
SP - 1156
EP - 1161
BT - 33rd IEEE International Conference on Robot and Human Interactive Communication, ROMAN 2024
PB - IEEE Computer Society
Y2 - 26 August 2024 through 30 August 2024
ER -