TY - GEN
T1 - Analysis of mental model of users with network malfunction
AU - Yoshida, Haruka
AU - Tsukatsune, Kenta
AU - Niida, Sumaru
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - In order to improve the quality of communication networks, we adopted a research approach that realizes individual optimal control in consideration of the context and individual characteristics of the users, such as quality of experience (QoE) and co-created quality. In this paper, we report the results of a Web questionnaire survey of 722 participants to analyze the cognitive and behavioral characteristics under network malfunction. We analyzed the features of a mental model of users by the two-step cluster method. In the analysis, the data extracted by participants regarding the communication connection was regarded as a mental model. Characteristics of the mental model were examined by the element type (carrier, content providers, server, internet lines) included in the extracted data. The result showed the mental model of the users was classified into four classes with different characteristics. Analysis of the relationship with other attributes possessed by the users showed that there is a high possibility that the class of the mental model differs depending on the degree of ICT literacy. Moreover, it was found that the differences in mental models are likely to lead to differences in behaviors with network malfunction.
AB - In order to improve the quality of communication networks, we adopted a research approach that realizes individual optimal control in consideration of the context and individual characteristics of the users, such as quality of experience (QoE) and co-created quality. In this paper, we report the results of a Web questionnaire survey of 722 participants to analyze the cognitive and behavioral characteristics under network malfunction. We analyzed the features of a mental model of users by the two-step cluster method. In the analysis, the data extracted by participants regarding the communication connection was regarded as a mental model. Characteristics of the mental model were examined by the element type (carrier, content providers, server, internet lines) included in the extracted data. The result showed the mental model of the users was classified into four classes with different characteristics. Analysis of the relationship with other attributes possessed by the users showed that there is a high possibility that the class of the mental model differs depending on the degree of ICT literacy. Moreover, it was found that the differences in mental models are likely to lead to differences in behaviors with network malfunction.
KW - Co-created quality
KW - Human-Network Interaction
KW - Mental model
KW - Prediction behavior
KW - QoE
UR - http://www.scopus.com/inward/record.url?scp=85088744037&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-50020-7_22
DO - 10.1007/978-3-030-50020-7_22
M3 - Conference contribution
AN - SCOPUS:85088744037
SN - 9783030500191
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 312
EP - 328
BT - Human Interface and the Management of Information. Designing Information - Thematic Area, HIMI 2020, Held as Part of the 22nd International Conference, HCII 2020, Proceedings
A2 - Yamamoto, Sakae
A2 - Mori, Hirohiko
PB - Springer
T2 - Thematic Area on Human Interface and the Management of Information, HIMI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Y2 - 19 July 2020 through 24 July 2020
ER -