This paper describes a method to obtain quantitatively discriminating cultural interaction indicators and their values for cross-cultural Human Computer Interaction (HCI) design as preparatory work for cross-cultural adaptive navigation and multi-media systems. The 'Intercultural Interaction Analysis' tool (IIA) was developed to automatically obtain qualitative data regarding cultural differences in HCI simulating use cases of driver navigation systems. The IIA tool has been used to conduct this study and to find metrics which are adequate to measure cross-cultural HCI. It consists of three elements: a data collection tool, a data analysis tool and a data evaluation tool. The main objective was to observe and analyze the interaction behaviour of users from different cultures with a computer system to determine different interaction patterns according to the cultural background of the users. This study serves as a basic cultural interaction rating in HCI and its results can be used for preliminary guidelines as well as for further research, tests and design efforts regarding the development of driver navigation systems. The analysis of the collected data with Chinese, German and English speaking users using the tool shows that there are correlations between the interaction behavior of the users with the system and the culture of the users. The cultural differences in HCI found are statistically discriminating enough to enable computer systems to detect different cultural interaction patterns automatically and to relate users to a certain culture behaviour.
Measuring cultural differences in human computer interaction as preparatory work for cross-cultural adaptivity in navigation systems. Results from a survey
2006
14 Seiten, 2 Bilder, 2 Tabellen, 14 Quellen
Conference paper
English
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