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"This book presents lectures given at the 8th International Workshop on Spoken Dialog Systems. As agents evolve in terms of their ability to carry on a dialog with users, several qualities are emerging as essential components of a successful system. Users do not carry on long conversations on only one topic—they tend to switch between several topics. Thus the authors are observing the emergence of multi-domain systems that enable users to seamlessly hop from one domain to another. The systems have become active social partners. Accordingly, work on social dialog has become crucial to active and engaging human–robot/agent interaction. These new systems call for a coherent framework that guides their actions as chatbots and conversational agents. Human–Robot/Agent assessment mechanisms naturally lend themselves to this task. As these systems increasingly assist humans in a multitude of tasks, the ethics of their existence, their design and their interaction with users are becoming crucial issues. This book discusses the essential players and features involved, such as chat-based agents, multi-domain dialog systems, human–robot interaction, social dialog policy, and advanced dialog system architectures."

"Twitter adalah salah satu media sosial berbasis teks terbesar di dunia dengan berbagai fitur yang menunjang aktivitas komunikasi penggunanya. Seiring berjalannya waktu, pengguna dapat mengirimkan pesan kepada akun menfess sesuai minat dan preferensi mereka, yang kemudian akan mengunggah kembali pesan itu secara publik. Penelitian ini bertujuan untuk menganalisis faktor-faktor usability, social interaction, dan browsing activity yang memengaruhi perilaku impulsive buying pengguna menfess Twitter. Penelitian ini dilakukan dengan mixed-method. Penelitian kualitatif dilakukan dengan melakukan wawancara bersama 10 narasumber pengguna Twitter yang pernah berinteraksi dengan akun menfess Twitter. Data kualitatif yang telah terkumpul diolah menggunakan grounded theory. Hasil pengolahan data kualitatif digunakan sebagai acuan pembentukan instrumen kuantitatif. Penelitian kuantitatif dilakukan dengan menyebarkan kuesioner online dengan 918 responden pengguna menfess Twitter yang pernah melakukan transaksi pembelian setelah mendapatkan informasi dari akun menfess Twitter. Data kuantitatif diolah dengan metode Structural Equation Model Partial Least Square (PLS-SEM). Hasil penelitian menunjukkan bahwa content relevance, navigability, dan presentation memengaruhi perceived usability; perceived usability memengaruhi browsing activity dan social interaction; social interaction memengaruhi informativeness, baik secara langsung maupun dengan mediasi perceived interaction quality; informativeness memengaruhi perceived information quality; perceived information quality memengaruhi browsing activity dan perceived enjoyment; browsing activity dan perceived enjoyment memengaruhi urge to buy impulsively; dan urge to buy impulsively memengaruhi actual purchase secara langsung serta melalui cognitive evaluation. Penelitian ini melengkapi pengetahuan di bidang usability, social interaction, dan browsing activity pada praktik akun menfess Twitter. Hasil penelitian dapat dimanfaatkan oleh pengembang Twitter untuk mengembangkan Twitter sebagai media interaksi berbasis menfess.

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Twitter is one of the largest text-based social media in the world with various features that support the communication activities of its users. Over time, users can send messages to menfess accounts according to their interests and preferences, which will then re-post the message publicly. This study aims to analyze the factors of usability, social interaction, and browsing activity that influence the impulsive buying behavior of Twitter menfess users.

This research was conducted using mixed-method. Qualitative research was conducted by conducting interviews with 10 Twitter user interviewees who had interacted with the menfess Twitter account. The qualitative data that has been collected is processed using grounded theory. The results of qualitative data processing are used as a reference for the formation of quantitative instruments. Quantitative research was conducted by distributing online questionnaires with 918 respondents of Twitter menfess users who have made purchase transactions after getting information from Twitter menfess accounts. Quantitative data is processed using the Structural Equation Model Partial Least Square (PLS-SEM) method.

The results showed that content relevance, navigability, and presentation affect perceived usability; perceived usability affects browsing activity and social interaction; social interaction affects informativeness, both directly and by mediating perceived interaction quality; informativeness affects perceived information quality; perceived information quality affects browsing activity and perceived enjoyment; browsing activity and perceived enjoyment affect urge to buy impulsively; and urge to buy impulsively affects actual purchase directly and through cognitive evaluation. This research complements knowledge in the fields of usability, social interaction, and browsing activity in the practice of Twitter menfess accounts. The results of the study can be utilized by Twitter developers to develop Twitter as a menfess-based interaction media."

"Twitter adalah salah satu media sosial berbasis teks terbesar di dunia dengan berbagai fitur yang menunjang aktivitas komunikasi penggunanya. Seiring berjalannya waktu, pengguna dapat mengirimkan pesan kepada akun menfess sesuai minat dan preferensi mereka, yang kemudian akan mengunggah kembali pesan itu secara publik. Penelitian ini bertujuan untuk menganalisis faktor-faktor usability, social interaction, dan browsing activity yang memengaruhi perilaku impulsive buying pengguna menfess Twitter. Penelitian ini dilakukan dengan mixed-method. Penelitian kualitatif dilakukan dengan melakukan wawancara bersama 10 narasumber pengguna Twitter yang pernah berinteraksi dengan akun menfess Twitter. Data kualitatif yang telah terkumpul diolah menggunakan grounded theory. Hasil pengolahan data kualitatif digunakan sebagai acuan pembentukan instrumen kuantitatif. Penelitian kuantitatif dilakukan dengan menyebarkan kuesioner online dengan 918 responden pengguna menfess Twitter yang pernah melakukan transaksi pembelian setelah mendapatkan informasi dari akun menfess Twitter. Data kuantitatif diolah dengan metode Structural Equation Model Partial Least Square (PLS-SEM). Hasil penelitian menunjukkan bahwa content relevance, navigability, dan presentation memengaruhi perceived usability; perceived usability memengaruhi browsing activity dan social interaction; social interaction memengaruhi informativeness, baik secara langsung maupun dengan mediasi perceived interaction quality; informativeness memengaruhi perceived information quality; perceived information quality memengaruhi browsing activity dan perceived enjoyment; browsing activity dan perceived enjoyment memengaruhi urge to buy impulsively; dan urge to buy impulsively memengaruhi actual purchase secara langsung serta melalui cognitive evaluation. Penelitian ini melengkapi pengetahuan di bidang usability, social interaction, dan browsing activity pada praktik akun menfess Twitter. Hasil penelitian dapat dimanfaatkan oleh pengembang Twitter untuk mengembangkan Twitter sebagai media interaksi berbasis menfess.

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Twitter is one of the largest text-based social media in the world with various features that support the communication activities of its users. Over time, users can send messages to menfess accounts according to their interests and preferences, which will then re-post the message publicly. This study aims to analyze the factors of usability, social interaction, and browsing activity that influence the impulsive buying behavior of Twitter menfess users. This research was conducted using mixed-method. Qualitative research was conducted by conducting interviews with 10 Twitter user interviewees who had interacted with the menfess Twitter account. The qualitative data that has been collected is processed using grounded theory. The results of qualitative data processing are used as a reference for the formation of quantitative instruments. Quantitative research was conducted by distributing online questionnaires with 918 respondents of Twitter menfess users who have made purchase transactions after getting information from Twitter menfess accounts. Quantitative data is processed using the Structural Equation Model Partial Least Square (PLS-SEM) method. The results showed that content relevance, navigability, and presentation affect perceived usability; perceived usability affects browsing activity and social interaction; social interaction affects informativeness, both directly and by mediating perceived interaction quality; informativeness affects perceived information quality; perceived information quality affects browsing activity and perceived enjoyment; browsing activity and perceived enjoyment affect urge to buy impulsively; and urge to buy impulsively affects actual purchase directly and through cognitive evaluation. This research complements knowledge in the fields of usability, social interaction, and browsing activity in the practice of Twitter menfess accounts. The results of the study can be utilized by Twitter developers to develop Twitter as a menfess-based interaction media."

"Di era perkembangan teknologi, pemerintah Indonesia sedang gencar untuk menjalankan “ Gerakan Menuju 100 Smart City” yang bertujuan untuk menunjang pelayanan masyarakat di Indonesia. Selain itu, saat ini masyarakat Indonesia sedang dilanda berbagai masalah akibat pandemi COVID-19. Hal ini mendorong pembangunan layanan smart city agar dapat melayani masyarakat kota dengan lebih baik. Pemerintah telah membuat beberapa chatbot untuk membantu masyarakat di masa pandemi. Namun, chatbot tersebut belum memperhatikan kebutuhan masyarakat di bidang ekonomi, pendidikan, dan mobilitas. Selain itu, penggunaan chatbot masih kurang diminati akibat percakapannya yang masih terkesan kaku dan memiliki perbendaharaan kata yang masih terbatas. Penelitian ini diharapkan dapat memberikan solusi berupa chatbot layanan smart city untuk menyelesaikan berbagai masalah yang dihadapi masyarakat kota selama masa pandemi. Perancangan dilakukan dengan menggunakan metode user-centered design yang melibatkan target pengguna pada setiap tahapannya. Pengumpulan kebutuhan chatbot dilakukan dengan menggunakan survei daring. Temuan yang diperoleh dijadikan acuan dalam perancangan purwarupa untuk chatbot layanan smart city di masa pandemi. Evaluasi terhadap purwarupa dilakukan dengan menggunakan metode usability testing dan A/B testing untuk evaluasi kualitatif, sedangkan untuk evaluasi kuantitatif menggunakan instrumen SUS dan CUQ. Chatbot layanan smart city yang dirancang dengan hasil yang cukup baik dilihat dari nilai SUS dan CUQ yang diperoleh cukup untuk dikategorikan ‘acceptable’.

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In the era of technological development, the Indonesian government is intensively running the "Gerakan Menuju 100 Smart City" that aims to support public services in Indonesia. In addition, Indonesians are currently experiencing various problems due to the COVID-19 pandemic. This encourages the development of smart city services to serve citizens better. The government has created several chatbots to help citizens during the pandemic. However, the chatbot has not paid attention to the needs of citizens in the fields of economy, education, and mobility. Not only that, the use of chatbots is still less desirable because the conversations still stiff and have a limited vocabulary. This research seeks to provide a solution in the form of a smart city service chatbot to solve various problems faced by citizen during the pandemic. The design is done using a user- centered design method that involves the target user at each stage. The chatbot needs collection is done by using online surveys. The findings were used as reference in designing chatbot. Evaluation of the prototype was conducted using usability testing and A/B testing methods for qualitative evaluation, while quantitative evaluation using SUS and CUQ instruments. Chatbot smart city services are designed with good results, chatbots SUS and CUQ values obtained enough to be categorized as ‘acceptable’."

""This book presents scientific, theoretical, and practical insight on the software and technology of social networks and the factors that boost communicability, highlighting different disciplines in the computer and social sciences fields""

"The 14 papers presented were carefully reviewed and selected from 37 submissions. The aim of the FMICS workshop series is to provide a forum for researchers who are interested in the development and application of formal methods in industry. It also strives to promote research and development for the improvement of formal methods and tools for industrial applications."

"This book goes through the whole cycle of HCI design and implementation and explains the core and basic HCI concepts behind each step. The book uses an interface for an actual Android app, designed and evaluated from the ground up, as a concrete example. Understandable to those with minimal programming knowledge, the book provides readers with a basic working knowledge of HCI oriented software development"