How Influential Are Mental Models on Interaction Performance? Exploring the Gap between Users’ and Designers’ Mental Models through a New Quantitative Method

Joint Authors

Zhou, Jia
Wang, Huilin
Xie, Bingjun

Source

Advances in Human-Computer Interaction

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-10-18

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Mathematics

Abstract EN

The objective of this study is to investigate the effect of the gap between two different mental models on interaction performance through a quantitative way.

To achieve that, an index called mental model similarity and a new method called path diagram to elicit mental models were introduced.

There are two kinds of similarity: directionless similarity calculated from card sorting and directional similarity calculated from path diagram.

An experiment was designed to test their influence.

A total of 32 college students participated and their performance was recorded.

Through mathematical analysis of the results, three findings were derived.

Frist, the more complex the information structures, the lower the directional similarity.

Second, directional similarity (rather than directionless similarity) had significant influence on user performance, indicating that it is more effective in eliciting mental models using path diagram than card sorting.

Third, the relationship between information structures and user performance was partially mediated by directional similarity.

Our findings provide practitioners with a new perspective of bridging the gap between users’ and designers’ mental models.

American Psychological Association (APA)

Xie, Bingjun& Zhou, Jia& Wang, Huilin. 2017. How Influential Are Mental Models on Interaction Performance? Exploring the Gap between Users’ and Designers’ Mental Models through a New Quantitative Method. Advances in Human-Computer Interaction،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1121852

Modern Language Association (MLA)

Xie, Bingjun…[et al.]. How Influential Are Mental Models on Interaction Performance? Exploring the Gap between Users’ and Designers’ Mental Models through a New Quantitative Method. Advances in Human-Computer Interaction No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1121852

American Medical Association (AMA)

Xie, Bingjun& Zhou, Jia& Wang, Huilin. How Influential Are Mental Models on Interaction Performance? Exploring the Gap between Users’ and Designers’ Mental Models through a New Quantitative Method. Advances in Human-Computer Interaction. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1121852

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1121852