KSPC is the number of keystrokes, on average, to generate each character of text in a given language using a given text entry technique. We systematically describe the calculation of KSPC and provide examples across a variety of text entry techniques. Values for English range from about 10 for methods using only cursor keys and a SELECT key to about 0.5 for word prediction techniques. It is demonstrated that KSPC is useful for a priori analyses, thereby supporting the characterisation and comparison of text entry methods before labour-intensive implementations and evaluations
Abstract. A number of text entry methods use a predictive comple-tion based on letter-level n-gram m...
Typing rhythms are one of the rawest form of data stemming from the interaction between humans and c...
We live in the age of touch screen gadgets. The future trends also show promising growth for them. C...
Abstract—Recent work in human-computer interaction has demonstrated the use of unconstrained text en...
Most cellular telephones use numeric keypads, where texting is supported by dictionaries and frequen...
Due to the emergence of SMS messages, the significance of effective text entry on limited-size keybo...
This paper deals with PC-based alternative (i.e., keyboardfree) text entry and the issues related to...
International audienceThis paper presents the KeyGlass system: a text entry system with dynamic addi...
Previously, we defined robust and easy-to-calculate error metrics for text entry research. Herein, w...
KeyScretch is a recently proposed text entry method which makes use of gestures to input frequent wo...
This paper describes the current metrics used in text input research, considering those used for dis...
Automated keyphrase extraction is crucial for extracting and summarizing relevant information from a...
This paper investigates text entry on mobile devices using only five-keys. Primarily to support text...
A Dissertation submitted to the Department of Computer Science and Engineering for the MSc in Comput...
Text is still the dominant form of human-computer-human communication. Users with certain motor or v...
Abstract. A number of text entry methods use a predictive comple-tion based on letter-level n-gram m...
Typing rhythms are one of the rawest form of data stemming from the interaction between humans and c...
We live in the age of touch screen gadgets. The future trends also show promising growth for them. C...
Abstract—Recent work in human-computer interaction has demonstrated the use of unconstrained text en...
Most cellular telephones use numeric keypads, where texting is supported by dictionaries and frequen...
Due to the emergence of SMS messages, the significance of effective text entry on limited-size keybo...
This paper deals with PC-based alternative (i.e., keyboardfree) text entry and the issues related to...
International audienceThis paper presents the KeyGlass system: a text entry system with dynamic addi...
Previously, we defined robust and easy-to-calculate error metrics for text entry research. Herein, w...
KeyScretch is a recently proposed text entry method which makes use of gestures to input frequent wo...
This paper describes the current metrics used in text input research, considering those used for dis...
Automated keyphrase extraction is crucial for extracting and summarizing relevant information from a...
This paper investigates text entry on mobile devices using only five-keys. Primarily to support text...
A Dissertation submitted to the Department of Computer Science and Engineering for the MSc in Comput...
Text is still the dominant form of human-computer-human communication. Users with certain motor or v...
Abstract. A number of text entry methods use a predictive comple-tion based on letter-level n-gram m...
Typing rhythms are one of the rawest form of data stemming from the interaction between humans and c...
We live in the age of touch screen gadgets. The future trends also show promising growth for them. C...