Insights into multidimensional phenomena, characteristic for biomedical applications, necessitates human-computer interfaces beyond standard graphical user interfaces (GUIs). Information overload in one sense, such as multiple dynamically changing windows in GUIs, may cause fatigue and reduced attention. Multimodal presentations use different sensory modalities in addition to visual presentation, such as audio and tactile feedback, to further engage human perceptual and cognitive skills. Multimodal presentation is a promising new direction toward increased perceptual bandwidth of human-computer interaction. Moreover, multimodal communication is natural feature of human communication. Therefore, most users prefer multimodal computer interact...
Abstract. Communication between people is inherently multimodal. People employ speech, facial expres...
In this paper we will discuss currently available multimodal technologies and how research on the mu...
This chapter gives an overview of multimodal information fusion from the machine-learning perspectiv...
Insights into multidimensional phenomena, characteristic for biomedical applications, necessitates h...
As technology advances, systems are increasingly able to provide more information than a human opera...
As technology advances, systems are increasingly able to provide more information than a human opera...
The interpretation process of complex data sets makes the integration of effective interaction techn...
Our sensory modalities are specialized in perceiving different attributes of an object or event. Thi...
In this chapter we describe three experiments investigating multimodal information presentation in t...
This dissertation addresses multimodal information presentation in human computer interaction. Infor...
The use of multiple modes of user input to interact with computers and devices is an active area of ...
Abstract. In this paper we review the major approaches to multimodal human computer interaction from...
Determining the most effective modality or combination of modalities for presenting time sensitive i...
One important issue for proactive computing is how users control and interact with the systems they ...
Multimodal systems have attained increased attention in recent years, which has made possible import...
Abstract. Communication between people is inherently multimodal. People employ speech, facial expres...
In this paper we will discuss currently available multimodal technologies and how research on the mu...
This chapter gives an overview of multimodal information fusion from the machine-learning perspectiv...
Insights into multidimensional phenomena, characteristic for biomedical applications, necessitates h...
As technology advances, systems are increasingly able to provide more information than a human opera...
As technology advances, systems are increasingly able to provide more information than a human opera...
The interpretation process of complex data sets makes the integration of effective interaction techn...
Our sensory modalities are specialized in perceiving different attributes of an object or event. Thi...
In this chapter we describe three experiments investigating multimodal information presentation in t...
This dissertation addresses multimodal information presentation in human computer interaction. Infor...
The use of multiple modes of user input to interact with computers and devices is an active area of ...
Abstract. In this paper we review the major approaches to multimodal human computer interaction from...
Determining the most effective modality or combination of modalities for presenting time sensitive i...
One important issue for proactive computing is how users control and interact with the systems they ...
Multimodal systems have attained increased attention in recent years, which has made possible import...
Abstract. Communication between people is inherently multimodal. People employ speech, facial expres...
In this paper we will discuss currently available multimodal technologies and how research on the mu...
This chapter gives an overview of multimodal information fusion from the machine-learning perspectiv...