TY - JOUR
T1 - Towards a conceptual model of users' expectations of an autonomous in-vehicle multimodal experience
AU - Ince, Ecem Berfin
AU - Cha, Kyungjoo
AU - Cho, Junghyun
N1 - © 2024 Ecem Berfin Ince et al.
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Data availability statement:
Due to the commercial nature of this research, it was agreed that the data from this research would not be shared publicly. Hence, supporting data is not available.
PY - 2024/3/14
Y1 - 2024/3/14
N2 - People are expected to have more opportunities to spend their free time inside the vehicle with advanced vehicle automation in the near future. This will enable people to turn their attention to desirable activities other than driving and to have varied in-vehicle interactions through multimodal ways of conveying and receiving information. Previous studies on in-vehicle multimodal interactions primarily have focused on making users evaluate the impacts of particular multimodal integrations on them, which do not fully provide an overall understanding of user expectations of the multimodal experience in autonomous vehicles. The research was thus designed to fill the research gap by posing the key question "What are the critical aspects that differentiate and characterise in-vehicle multimodal experiences?" To answer this question, five sessions of design fiction workshops were separately conducted with 17 people to understand the users' expectations of the multimodal experience in autonomous vehicles. Twenty-two subthemes of users' expected tasks of multimodal experience were extracted through thematic analysis. The research found that two dimensions, attention and duration, are critical aspects that impact in-vehicle multimodal interactions. With this knowledge, a conceptual model of the users' in-vehicle multimodal experience was proposed with a two-dimensional spectrum, which populates four different layers: sustained, distinct, concurrent, and coherent. The proposed conceptual model could help designers understand and approach users' expectations more clearly, allowing them to make more informed decisions from the initial stages of the design process.
AB - People are expected to have more opportunities to spend their free time inside the vehicle with advanced vehicle automation in the near future. This will enable people to turn their attention to desirable activities other than driving and to have varied in-vehicle interactions through multimodal ways of conveying and receiving information. Previous studies on in-vehicle multimodal interactions primarily have focused on making users evaluate the impacts of particular multimodal integrations on them, which do not fully provide an overall understanding of user expectations of the multimodal experience in autonomous vehicles. The research was thus designed to fill the research gap by posing the key question "What are the critical aspects that differentiate and characterise in-vehicle multimodal experiences?" To answer this question, five sessions of design fiction workshops were separately conducted with 17 people to understand the users' expectations of the multimodal experience in autonomous vehicles. Twenty-two subthemes of users' expected tasks of multimodal experience were extracted through thematic analysis. The research found that two dimensions, attention and duration, are critical aspects that impact in-vehicle multimodal interactions. With this knowledge, a conceptual model of the users' in-vehicle multimodal experience was proposed with a two-dimensional spectrum, which populates four different layers: sustained, distinct, concurrent, and coherent. The proposed conceptual model could help designers understand and approach users' expectations more clearly, allowing them to make more informed decisions from the initial stages of the design process.
U2 - 10.1155/2024/7418597
DO - 10.1155/2024/7418597
M3 - Article
AN - SCOPUS:85188742681
SN - 2578-1863
VL - 2024
JO - Human Behavior and Emerging Technologies
JF - Human Behavior and Emerging Technologies
IS - 1
M1 - 7418597
ER -