TY - GEN
T1 - Human Perception of Emotional Responses to Changes in Auditory Attributes of Humanoid Agents
AU - Zou, Zhao
AU - Alnajjar, Fady
AU - Lwin, Michael
AU - Al Mahmud, Abdullah
AU - Swavaf, Muhammed
AU - Khan, Aila
AU - Mubin, Omar
N1 - Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2024
Y1 - 2024
N2 - Human-robot interaction has emerged as an increasingly prominent discourse within the domain of robotic technologies. In this context, the interaction of both visual and verbal cues assumes an essential role in shaping user experiences. The research problem of this study revolves around investigating the potential impact of auditory attribute alterations in humanoid agents, namely robots and avatars, on users’ emotional responses. The study recruited a participant cohort comprising 14 individuals, aged 18 to 35, to engage in an experimental process of observing avatar videos with distinctive auditory attributes. These attributes encompassed two voice pitches, specifically alto voice and bass voice, as well as two speech styles denoted as frozen style and casual style. Through data collection, a repository of 13,600 data points was amassed from the participants, and subsequently subjected to rigorous analysis via the ANOVA methodology. The empirical findings demonstrate that users reveal sensitive, emotional responsiveness when faced with avatar videos characterized by varying auditory attributes. This pilot study establishes a foundational framework poised to guide future research undertakings aimed at inspiring user experiences through the deliberate manipulation of auditory attributes inherent in humanoid robots and avatars.
AB - Human-robot interaction has emerged as an increasingly prominent discourse within the domain of robotic technologies. In this context, the interaction of both visual and verbal cues assumes an essential role in shaping user experiences. The research problem of this study revolves around investigating the potential impact of auditory attribute alterations in humanoid agents, namely robots and avatars, on users’ emotional responses. The study recruited a participant cohort comprising 14 individuals, aged 18 to 35, to engage in an experimental process of observing avatar videos with distinctive auditory attributes. These attributes encompassed two voice pitches, specifically alto voice and bass voice, as well as two speech styles denoted as frozen style and casual style. Through data collection, a repository of 13,600 data points was amassed from the participants, and subsequently subjected to rigorous analysis via the ANOVA methodology. The empirical findings demonstrate that users reveal sensitive, emotional responsiveness when faced with avatar videos characterized by varying auditory attributes. This pilot study establishes a foundational framework poised to guide future research undertakings aimed at inspiring user experiences through the deliberate manipulation of auditory attributes inherent in humanoid robots and avatars.
KW - Auditory features
KW - Avatar
KW - Emotion detection
KW - Human-robot interaction
KW - User experience
UR - http://www.scopus.com/inward/record.url?scp=85180628266&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85180628266&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-8715-3_2
DO - 10.1007/978-981-99-8715-3_2
M3 - Conference contribution
AN - SCOPUS:85180628266
SN - 9789819987146
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 13
EP - 21
BT - Social Robotics - 15th International Conference, ICSR 2023, Proceedings
A2 - Ali, Abdulaziz Al
A2 - Cabibihan, John-John
A2 - Meskin, Nader
A2 - Rossi, Silvia
A2 - Jiang, Wanyue
A2 - He, Hongsheng
A2 - Ge, Shuzhi Sam
PB - Springer Science and Business Media Deutschland GmbH
T2 - 15th International Conference on Social Robotics, ICSR 2023
Y2 - 3 December 2023 through 7 December 2023
ER -