Efficiency of Speech Recognition for Using Interface Design Environments by Novel Designers

نویسندگان

  • MOHAMMAD M. ALSURAIHI
  • DIMITRIS I. RIGAS
چکیده

Previous studies on usability of graphical design-widgets, like menus and buttons, proposed the use of speech and non-speech (earcons and auditory icons) for solving their usability problems. In this paper we investigate speech as an input metaphor to enhance learnability, or the ability to use a system with no prior knowledge, in order to design interfaces using a multimodal interface design toolkit called MMID. Using this toolkit as an experimental platform, the paper presents an empirical multi-group study that compares efficiency of visual-only and multimodal interaction metaphors when used by novel users. Key-Words: interface-design, usability, learnability, experienced performance, efficiency, multimodal interaction, voice-instruction, speech.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Speech Displaces the Graphical Crowd

Developers of visual Interface Design Environments (IDEs), like Microsoft Visual Studio and Java NetBeans, are competing in producing pretty crowded graphical interfaces in order to facilitate completion of interface-design tasks. Previous studies have shown that such interfaces cause the user to experience information overload as well as they create a fertile environment for usability problems...

متن کامل

A Database for Automatic Persian Speech Emotion Recognition: Collection, Processing and Evaluation

Abstract   Recent developments in robotics automation have motivated researchers to improve the efficiency of interactive systems by making a natural man-machine interaction. Since speech is the most popular method of communication, recognizing human emotions from speech signal becomes a challenging research topic known as Speech Emotion Recognition (SER). In this study, we propose a Persian em...

متن کامل

Towards a tool for predicting speech functionality

In these days of multimodal systems and interfaces, many research teams are investigating the purposes for which novel combinations of modalities can be used. It is easy to forget that we still lack solid foundations for evaluating the functionality of individual families of input/output modalities, such as the speech modalities. The reason why these foundations are missing is the complexity of...

متن کامل

Speech Emotion Recognition Based on Power Normalized Cepstral Coefficients in Noisy Conditions

Automatic recognition of speech emotional states in noisy conditions has become an important research topic in the emotional speech recognition area, in recent years. This paper considers the recognition of emotional states via speech in real environments. For this task, we employ the power normalized cepstral coefficients (PNCC) in a speech emotion recognition system. We investigate its perfor...

متن کامل

Speech Emotion Recognition Using Scalogram Based Deep Structure

Speech Emotion Recognition (SER) is an important part of speech-based Human-Computer Interface (HCI) applications. Previous SER methods rely on the extraction of features and training an appropriate classifier. However, most of those features can be affected by emotionally irrelevant factors such as gender, speaking styles and environment. Here, an SER method has been proposed based on a concat...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007