Public perceptions towards ChatGPT​ a​s the​ Robo​-Assistant

Abstract

The widespread adoption of digital technologies in various economic activities paves the way for the establishment of a unified digital space. ChatGPT, an artificial intelligence language model, can generate increasingly realistic text, with no information on the accuracy and integrity of using these models in scientific writing. This study aims to investigate factors influencing public perceptions toward the acceptance of ChatGPT as the Robo-Assistant, using a mixed method. The quantitative approach in this study employed convenience sampling to collect data through closed-ended questionnaires from a sample size of 1,880 respondents. Statistical analysis software was used for data analysis. The researchers used binary regression to examine the relationship between various independent variables (such as score, gender, education, social media usage) and the acceptance of ChatGPT, as dependent variable. As part of the qualitative approach, in-depth interviews were conducted with a purposive sample of six participants. The qualitative data was analyzed using the content analysis method and the NVivo software program. Findings show that ChatGPT awareness and usage are influenced by variables like score, gender, education, and social media usage. Occupation and monthly income were not significant factors. The model with all independent variables was able to predict the use of ChatGPT as the Robo-Assistant in Thailand with an accuracy rate of 96.3%. The study also confirms acceptance of ChatGPT among Thai people and emphasizes the importance of developing sociable robots that consider human interaction factors. This study significantly enhances our comprehension of public perceptions, acceptance, and the prospective ramifications associated with the adoption of ChatGPT as the Robo-Assistant. The acquired findings offer indispensable guidance for the effective utilization of AI models and the advancement of sociable robots within the domain of human-robot interaction.

An impact of Starlink project on regulations and national security

“…The findings were in agreement with a study conducted by , which confirmed that the effects of the Starlink project on the competitive structure of the Internet service provider market in Thailand can be attributed to the utilisation of home internet. Jangjarat et al (2023) showed that ChatGPT awareness and usage were influenced by variables like social media usage. In this study, using TikTok was strongly associated with an increased impact of the Starlink project on legal systems, regulations, and national security in Thailand, with an increase of 8.117.…”

“…The dependent variable was the potential Starlink's impact on legal systems, regulations, and national security. According to Jangjarat et al (2023), binary regression is a statistical method used to examine the relationship between one or more explanatory variables and a single binary output variable. Therefore, binary regression was employed to analyse the collected data.…”

ChatGPT in Education

“…AI chatbots can be designed to assess students' knowledge, identify areas where they need improvement, and suggest appropriate learning resources or strategies. By employing AI chatbots, education systems can enhance student engagement, improve learning outcomes, and streamline communication between learners and educators (Jangjarat et al, 2023).…”

Penggunaan ChatGPT di Kalangan Mahasiswa dan Dosen Perguruan Tinggi Indonesia

“…Kehadiran ChatGPT yang ditanggapi dengan berbagai respon, baik yang mendukung penggunaannya maupun menolaknya, memiliki berbagai implikasi. Selain itu, penggunaan ChatGPT dipengaruhi oleh berbagai variabel seperti gender, pendidikan, dan juga penggunaan media sosial (Jangjarat et al, 2023).…”