Food Diary Coaching Chatbot

Casas, Jacky; Mugellini, Elena; Khaled, Omar Abou

doi:10.1145/3267305.3274191

Cited by 44 publications

(59 citation statements)

References 4 publications

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“…One possibility to interact with NESTORE is a chatbot whose natural language understanding was powered by the Rasa framework (see section 3.1.2). Casas et al [5] presented a chatbot based on the commercial Chatfuel service, which is intended to improve the food lifestyle. The user defines the goals to reach, such as a reduced meat consumption.…”

Section: Conversational Agentsmentioning

confidence: 99%

Development of a Privacy-By-Design Speech Assistant Providing Nutrient Information for German Seniors

Seiderer

Ritschel

André

2020

Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good

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Elderly people could take benefit of speech assistants since they provide the most natural way to interact with assistive technology. Nevertheless, current speech assistants are mainly based on cloud-systems which are non-functional without a stable internet connection or introduce severe privacy-concerns. In this work we provide an overview of state-of-the-art available components for developing a privacy-by-design, open source speech assistant for seniors, as well as a fully functional implementation. We chose the health related task of getting nutrition information of packaged foodstuff for which we rely on an open data database. Our prototype was used in a workshop with two German seniors to gather further insights into the special requirements of elderly people, which can be taken into account for future speech assistants. CCS CONCEPTS • Human-centered computing → Natural language interfaces; • Applied computing → Consumer health; • Social and professional topics → Seniors.

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Section: Conversational Agentsmentioning

confidence: 99%

Development of a Privacy-By-Design Speech Assistant Providing Nutrient Information for German Seniors

Seiderer

Ritschel

André

2020

Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good

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“…Sen et al [31] propose a smartwatch-based system to detect eating gestures, and recognize food through pictures and computer vision software. A text-based conversational agent is proposed in [6] to improve nutritional lifestyle. Other solutions rely on automatic classification of chewing sound [3], recognition of eating moments trough analysis of heart rate and activity patterns [26], or scanning of grocery receipts [22].…”

Section: Related Workmentioning

confidence: 99%

“…Furthermore, NLP technologies have been recently employed for the design of virtual assistants, whose adoption has enabled several changes in today's life. Google Assistant, 5 Apple's Siri, 6 Microsoft's Cortana, 7 Amazon's Alexa, 8 Wit.ai 9 and Snips.ai, 10 an open source and privacy oriented solution, are all well-known examples of digital voice assistants available on the market today. Such technologies can be used to access apps, services, and software, reading out the daily news, setting timers, or tapping into music playlists, and control IoT products and sensors.…”

Section: Related Workmentioning

confidence: 99%

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Recognition of cooking activities through air quality sensor data for supporting food journaling

Gerina

Massa

Moi

et al. 2020

Hum. Cent. Comput. Inf. Sci.

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The 2018 Global Nutrition Report. 1 of the World Health Organization (WHO) reveals that malnutrition affects, in different forms, every country of the world. Malnutrition determines more health issues than any other cause, and progress towards better nutrition is still too slow. In particular, in developed countries, overweight and obesity in adults are a cause of several non-communicable diseases, including diabetes, heart disease, stroke, different types of cancer, musculoskeletal disorders, and respiratory symptoms. 2 Micronutrient deficiencies are also cause of severe health issues, such as anaemia.

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“…Chatbots have been widely used in various applications such as health [4], education [5] and customer service [6]. The research that developed the chatbot application for city citizen interaction media [7], stated that chatbots provide convenience to users because users do not have to do a long order of commands.…”

Section: Related Workmentioning

confidence: 99%

Keystroke-Level Model to Evaluate Chatbot Interface for Reservation System

Supriyanto¹,

Prahara²,

Saputro³

2019

EECSI

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The tour package reservation system is an important part of improving tourism services. Reservations must be able to meet the information needs of prospective customers and can serve the desired tour package bookings. A reservation system is usually a form that must be filled in sequence by prospective visitors. This paper discusses the evaluation of the application of the chatbot interface on the reservation system with the keystroke-level model. Changing the interaction design that previously did the task fills out the form into a conversation interaction. The aim is to increase the speed of the ordering process through the system. Prospective visitors do not need to fill in the form, they only need to have a conversation with the system while entering the order data. The evaluation results using the keystroke-level model show that the chatbot interface can increase the speed of the process by shortening steps.

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Food Diary Coaching Chatbot

Cited by 44 publications

References 4 publications

Development of a Privacy-By-Design Speech Assistant Providing Nutrient Information for German Seniors

Development of a Privacy-By-Design Speech Assistant Providing Nutrient Information for German Seniors

Recognition of cooking activities through air quality sensor data for supporting food journaling

Keystroke-Level Model to Evaluate Chatbot Interface for Reservation System

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