Smart Personal Assistant Research Articles

A bibliometric mapping analysis of publications on the utilization of artificial intelligence technology in language learning

A plethora of publications have shed light, particularly on the affordances of Artificial Intelligence (AI)-powered technology to maximize the language learning preparation, process, and outcomes. In search of the current portrait of empirical evidence in this context, this paper reports on a bibliometric mapping analysis of publications on the utilization of AI technology in language learning in the last five years (2018-2023). Relevant studies associated with the theme were collected from several journals sorted out using predetermined criteria. Eighty-eight titles and abstracts were further reviewed to generate a mapping of relevant keywords. The analysis results showed that studies on the utilization of AI technology for language learning have gradually increased in number and grabbed considerable attention among scholars in the Asia context. Several mainstream key terms attached to AI technology comprised personalized learning, mobile learning, and chatbot applications, indicating more concerns in reviewing the role of AI technology as a smart personal assistant for language learners. Furthermore, the use of AI technology was found to be beneficial for maximizing language learning preparation, language skills development such as reading and writing, and language learning evaluation particularly in providing feedback or assessing students’ works. However, challenges in using AI technology in a language learning context remain on the surface. The present mapping analysis can serve as a reference for contemplating the retrospect and envisioning the prospect of AI-powered technology use toward sustaining advanced and quality language learning.

Leveraging Low Code Development of Smart Personal Assistants: An Integrated Design Approach with the SPADE Method

ABSTRACT Smart personal assistants (SPAs), such as Alexa for example, promise individualized user interactions owing to their varying interaction possibilities, knowledgeability, and human-like behaviors. To support the widespread adoption and use of SPAs, organizations such as Google or Amazon provide low code environments that support the development of SPAs (e.g., for Google Home or Amazon’s Alexa). These so-called low code platforms enable domain experts (e.g., business users without programming skills or experience) to develop SPAs for their purposes. However, using these platforms alone does not guarantee a useful and good conversation with novel SPAs due to non-intuitive design choices. Following a design science research approach, we propose the Smart Personal Assistant for Domain Experts (SPADE) method to address the missing link. This method supports domain experts in the development and contextualization of sophisticated SPAs for various application scenarios and focuses especially on conversational and anthropomorphic design steps. Our proof of concept and proof of value results show that SPADE is useful for supporting domain experts to create effective SPAs in different domains beyond private set-ups.

Health Mirror

Abstract: This paper describes and explains design and working of a mirror made smart enough to be a health mirror which is IoT based and works with Arduino mega. This health mirror act as a personal health assistance which helps to do regular health checkups within few seconds. It does following tasks like, contactless human body temperature measurement, oxygen level measurement and pulse rate measurement. When body temperature or oxygen level or pulse rate goes above limit, it gives warning in form of voice command and captures the image of the person standing in front. It also displays current date and time and room temperature and humidity. The health mirror can be used in our home as well as at entrance of any organization. Keywords: Health mirror, Smart mirror, Smart personal health assistant, Arduino mega, Contactless

Enhancing problem-solving skills with smart personal assistant technology

Smart Personal Assistants (SPAs; such as Amazon's Alexa or Google's Assistant) let users interact with computers in a more natural and sophisticated way that was not possible before. Although there exists an increasing amount of research of SPA technology in education, empirical evidence of its ability to offer dynamic scaffolding to enhance students problem-solving skills is still scarce. To fill this gap, the aim of this paper is to find out whether interactions with scaffolding-based SPA technology enable students to internalize and apply problem-solving steps on their own in a 10th grade high school and a vocational business school class. Students in the experiment classes completed their assignments using Smart Personal Assistants, whereas students in the control classes completed the same assignments using traditional methods. This study used a mixed-method approach consisting of two field quasi-experiments and one post-experiment focus group discussion. The empirical results revealed that students in the experiment classes acquired significantly more problem-solving skills than those in the control classes (Study 1: p = 0.0396, study 2: p < 0.001), and also uncovered several changes in students' learning processes. The findings provide first empirical evidence for the value of using SPA technology on skill development in general, and on problem-solving skill development in particular.

Aspects Influencing Food Intake and Approaches towards Personalising Nutrition in the Elderly

Healthy diets have been demonstrated to complement benefits of physical activity, physical condition and mental wellbeing, all of them being important factors influencing the quality of life of elderly. Unfortunately malnutrition is a serious threat and an increasingly prevalent condition among the fast-growing elderly population. The present work addresses the identification of important factors contributing to decreased appetite and food intake as well as the development of approaches towards a healthy diet and personalised nutrition in elderly. Within the present study semi-structured interviews with elderly and elderly suffering from swallowing and mastication difficulties have been performed, results being used for the development of food provision modules and the corresponding recipes addressing the nutritional requirements of elderly. The social context and the swallowing and mastication difficulties influence the eating behaviour as well as the motivation to eat. On the other hand, it was found that texture modified foods (food which texture is adapted to the need of people with swallowing and mastication problems) could act as motivational aspect. With regard to food personalisation in the elderly the consideration of three different case scenarios based on individual independency and the degree of oral impairment seemed to be appropriate. Different aspects such as gender weight, physical activity level as well as high protein demand are important influential factors in the development of personalised recipes in elderly. In addition to the above, a conversational agent was developed as behaviour change module and can be successfully used as smart personal assistant in helping the users to understand their eating habits and adopt healthier nutrition over the long term.

Wideband Built-In Antenna With New Crossed C-Shaped Coupling Feed for Future Mobile Phone Application

A wideband built-in antenna with a new crossed C-shaped coupling feed structure for wireless terminals is presented. With the proposed design scheme, a 10-band built-in antenna that covers LTE700/GSM850/GSM900/DCS1800/PCS1900/WCDMA/WiBro2350/Bluetooth/WiMAX2500/LTE2600 is experimentally tested. The antenna could be available for future 4G service and for current 2G/3G services. This novel 10-band built-in handset antenna is developed within the limits of a 50 × 14 × 6 mm3 volume for recent smart phones or personal digital assistant (PDA) applications, thereby achieving good agreement between measurement and simulation.