International Journal of Human-Computer Interaction

Shin, Dong-Hee; Baek, Seon-Gi

doi: 10.1080/10447318.2011.586307pmid: N/A

This article has been retracted.

Gürkök, Hayrettin; Nijholt, Anton

doi: 10.1080/10447318.2011.582022pmid: N/A

For decades, brain–computer interfaces (BCIs) have been used for restoring the communication and mobility of disabled people through applications such as spellers, web browsers, and wheelchair controls. In parallel to advances in computational intelligence and the production of consumer BCI products, BCIs have recently started to be considered as alternative modalities in human–computer interaction (HCI). One of the popular topics in HCI is multimodal interaction (MMI), which deals with combining multiple modalities in order to provide powerful, flexible, adaptable, and natural interfaces. This article discusses the situation of BCI as a modality within MMI research. State-of-the-art, real-time multimodal BCI applications are surveyed in order to demonstrate how BCI can be helpful as a modality in MMI. It is shown that multimodal use of BCIs can improve error handling, task performance, and user experience and that they can broaden the user spectrum. The techniques for employing BCI in MMI are described, and the experimental and technical challenges with some guidelines to overcome these are shown. Issues in input fusion, output fission, integration architectures, and data collection are covered.

Yang, Tao; Linder, Jared; Bolchini, Davide

doi: 10.1080/10447318.2011.586320pmid: N/A

Existing perceived usability questionnaires detect the appearance of usability issues rather than the underlying design generating those issues. This limits the capability of existing instruments to directly inform design recommendations. To address this problem, a usability questionnaire structured around the analytical composition of the design was created and validated. A four-stage process was followed. First, 3 usability experts refined 54 questions from highly cited usability questionnaires and structured them around 6 design dimensions. Second, 12 raters scored the questions by their relevance to assess usability. Third, questions and dimensions were then improved through exploratory and confirmatory factor analysis (N = 196) and, fourth, further enhanced through confirmatory factor analysis (N = 362). The result is DEEP, a 19-question usability questionnaire based on 5 main design dimensions (content, information architecture, navigation, layout, and visual guidance). DEEP can be used to capture detailed usability feedback that more directly relates to specific aspects of design requirements.

Xu, Bo; Li, Dahui; Shao, Bingjia

doi: 10.1080/10447318.2011.590121pmid: N/A

A virtual community is a type of online structure that enables Internet users to communicate and collaborate. Users' knowledge contributions are critical to the viability and sustainability of virtual communities. This article studies virtual community members' knowledge sharing from the perspective of citizenship behavior defined as members' spontaneous contribution to the community without expectation of return or reciprocation. The social-relational antecedents of citizenship behavior are explored through an examination of how members' general attitude and desire for relationship building and maintaining, including attachment motivation, social support orientation, and disposition to trust influence their trusting beliefs and citizenship knowledge-sharing behavior. Hypotheses are developed and tested with survey data from Chinese and American users of virtual communities. In general, the results of data analyses support our research model. This article contributes empirically to virtual community research and has practical implications for virtual community development.