A Study on an Usability Measurement Based on the Mental Model

Yamada, Yoshio; Ishihara, Keisuke; Yamaoka, Toshiki

doi:10.1007/978-3-642-21672-5_19

Cited by 2 publications

(3 citation statements)

References 4 publications

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“…One solution to this problem is laddering, a modified interview technique, in which people were asked to identify multiple aspects of a problem and explore the relationship between their answers [30]. (2) Rating: people were asked to rate using questionnaires [30,31], but this technique is not frequently used because relatively few questionnaires are well established. (3) Drawing sketches: people were asked to visually draw how they thought of a concept or the pathways from the start to a specific point in a system [18,32].…”

Section: Mental Modelsmentioning

confidence: 99%

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

Xie

Zhou

Wang

2017

Advances in Human-Computer Interaction

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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.

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Section: Mental Modelsmentioning

confidence: 99%

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

Xie

Zhou

Wang

2017

Advances in Human-Computer Interaction

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“…Verbalization is mainly done through interview techniques such as think aloud and laddering [79], and laddering techniques are frequently used to explore the relationship between answers [92]. Rating is a method of asking people to rate using questionnaires [93,94], but it is not often used. Additionally, sketching is visualizing how they thought of a concept or the pathways from the start to a specific point in a system [55,94]; card sorting is an effective way to derive hierarchical structures [95,96].…”

Section: Mental Modelmentioning

confidence: 99%

“…Rating is a method of asking people to rate using questionnaires [93,94], but it is not often used. Additionally, sketching is visualizing how they thought of a concept or the pathways from the start to a specific point in a system [55,94]; card sorting is an effective way to derive hierarchical structures [95,96]. Since these methods have their respective strengths and weaknesses, it is necessary to compare their differences using various methods to derive a user's mental model accurately.…”

Section: Mental Modelmentioning

confidence: 99%

Exploring Users’ Mental Models for Anthropomorphized Voice Assistants through Psychological Approaches

Park

Namkung

2021

Applied Sciences

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Various perspectives are being studied to increase the usability and persistence of voice assistants (VA) as the use is rapidly expanding to various domains. Particularly, many studies note that users personify VA. Systems designed to suit users differing mental models while using specific systems can provide a positive user experience, increasing usability and persistence. Therefore, we tried to structure the mental model of users using personified VA and proposed these results as an important factor to consider in personifying VA. To determine important factors to consider in personifying VA, this research structures the mental model of users using personified VA. Furthermore, we used two types of psychological approaches that were not applied in previous studies to analyze users’ mental models. Using two types of psychological approaches that were not applied in previous studies, this research analyzed users’ mental models. In Study 1, each user’s thinking process is derived through ZMET (Zaltman metaphor elicitation techniques) as a consensus map. Afterward, in Study 2, correlations between the key components analyzed in Study 1 are validated through RG (repertory grid technique). As a result, the research found that there are three different psychological structures. The first structure is of users who feel human-like empathy and warmth in the use of VA. Meanwhile, the second structure is of users who seek help with problem-solving. The last is the psychological structure of users who regarded anthropomorphic VA as just a machine. Users with this mental model expect the potential for development as a machine rather than the personification of VA. Ultimately, this research is meaningful in that it analyzes each user’s psychological mechanism for personified VA through a psychological approach and derives three new mental models in detail.

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A Study on an Usability Measurement Based on the Mental Model

Cited by 2 publications

References 4 publications

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

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

Exploring Users’ Mental Models for Anthropomorphized Voice Assistants through Psychological Approaches

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