CONVERSE: a Conversational Companion

Batacharia, B.; Levy, David; Catizone, Roberta; Krotov, A.; Wilks, Yorick

doi:10.1007/978-1-4757-5687-6_17

Cited by 22 publications

(7 citation statements)

References 3 publications

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“…In 1995, the Loebner Competition held its first unrestricted Turing test with no limits on the topics discussed. More general-purpose chatbots have been developed, such as MegaHAL [24], CONVERSE [25], ELIZABETH [26], A.L.I.C.E [27] and Mitsuku (Loebner prize winner in 2013, 2016, 2017, 2018) [28]. With the emergence of messaging platforms, not only have chatbots for socializing and small talk (e.g.…”

Section: Chatbot Applications and Technologiesmentioning

confidence: 99%

Artificial Intelligence Trends & Technologies

2022

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Chatbot has long been an important research topic in artificial intelligence and attracts lots of attention recently. Despite significant advancements in language ability, the interactions between users and chatbots are rather generic, short-term, and transnational. It has always been challenging to develop truly personal chatbots and even more difficult to establish longterm, affective connections. This paper first brings up "nurture" as a new interaction mode with chatbots. We introduce the nurture framework and accordingly design the learning algorithm and nurture functions. Then we present LightBluea platform that allows non-professionals to nurture personal chatbots from scratch. Experiments on both closed-and open-domain tasks validate the proposed framework and demonstrate a promising method for facilitating long-term interaction between users and chatbots.

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Section: Chatbot Applications and Technologiesmentioning

confidence: 99%

Artificial Intelligence Trends & Technologies

2022

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“…One of the first established chatbots was programmed in the 1960s, called ELIZA, which was used for text-based psychiatric interviews [11]. This sparked the development of several early chatbots, such as GURU [12], CONVERSE [13], ALICE, and Elizabeth [14]. The renewed interest in chatbots in recent years is largely because of the advancements in deep learning technology [15], which enables agent-based chatbots, and the advancements in voice recognition technology, which have facilitated voice assistants such as Apple's Siri, Microsoft's Cortana, Amazon's Alexa, and Google's new Assistant [16].…”

Section: Chatbot Technology and Healthmentioning

confidence: 99%

Chatbots to Support People With Dementia and Their Caregivers: Systematic Review of Functions and Quality

Ruggiano¹,

Brown²,

Roberts³

et al. 2021

J Med Internet Res

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Background Over the past decade, there has been an increase in the use of information technologies to educate and support people with dementia and their family caregivers. At the same time, chatbot technologies have become increasingly popular for use by the public and have been identified as having benefits for health care delivery. However, little is known about how chatbot technologies may benefit people with dementia and their caregivers. Objective This study aims to identify the types of current commercially available chatbots that are designed for use by people with dementia and their caregivers and to assess their quality in terms of features and content. Methods Chatbots were identified through a systematic search on Google Play Store, Apple App Store, Alexa Skills, and the internet. An evidence-based assessment tool was used to evaluate the features and content of the identified apps. The assessment was conducted through interrater agreement among 4 separate reviewers. Results Of the 505 initial chatbots identified, 6 were included in the review. The chatbots assessed varied significantly in terms of content and scope. Although the chatbots were generally found to be easy to use, some limitations were noted regarding their performance and programmed content for dialog. Conclusions Although chatbot technologies are well established and commonly used by the public, their development for people with dementia and their caregivers is in its infancy. Given the successful use of chatbots in other health care settings and for other applications, there are opportunities to integrate this technology into dementia care. However, more evidence-based chatbots that have undergone end user evaluation are needed to evaluate their potential to adequately educate and support these populations.

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“…Several names have been used for interactive agents are software agents or chatbot (Kar & Haldar, 2016). The first virtual agents are 'Eliza' was created in 1966 and made several advancements over many years such as Parry (Colby, 1999), CONVERSE (Batacharia et al, 1999), and ALICE. Before 2016, recent study signifies that 60% of the companies do not get awareness or knowledge about interactive agents and further 54% of the web developers not worked on this same digital technology.…”

Section: Interactive Agent and Brand Lovementioning

confidence: 99%

The Impact of Artificial Intelligence on Branding

Varsha¹,

Akter

Kumar

et al. 2021

Journal of Global Information Management

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Understanding the growth paths of artificial intelligence (AI) and its impact on branding is extremely pertinent of technology-driven marketing. This explorative research covers a complete bibliometric analysis of the impact of AI on branding. The sample for this research included all 117 articles from the period of 1982-2019 in the Scopus database. A bibliometric study was conducted using co-occurrence, citation analysis and co-citation analysis. The empirical analysis investigates the value propositions of AI on branding. The study revealed the nine clusters of co-occurrence: Social Media Analytics and Brand Equity; Neural Networks and Brand Choice; Chat Bots-Brand Intimacy; Twitter, Facebook, Instagram-Luxury Brands; Interactive Agent-Brand Love and User Choice; Algorithm Recommendations and E-Brand Experience; User-Generated Content-Brand Sustainability; Brand Intelligence Analytics; and Digital Innovations and Brand Excellence. The findings also identify four clusters of citation analysis—Social Media Analysis and Brand Photos, Network Analysis and E-Commerce, Hybrid Simulating Modelling, and Real-time Knowledge-Based Systems—and four clusters of co-citation analysis: B2B Technology Brands, AI Fostered E-Brands, Information Cascades and Online Brand Ratings, and Voice Assistants-Brand Eureka Moments. Overall, the study presents the patterns of convergence and divergence of themes, narrowing to the specific topic, and multidisciplinary engagement in research, thus offering the recent insights in the field of AI on branding.

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CONVERSE: a Conversational Companion

Cited by 22 publications

References 3 publications

Artificial Intelligence Trends & Technologies

Artificial Intelligence Trends & Technologies

Chatbots to Support People With Dementia and Their Caregivers: Systematic Review of Functions and Quality

The Impact of Artificial Intelligence on Branding

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