Chasing the Chatbots

Piccolo, Lara S. G.; Mensio, Martino; Alani, Harith

doi:10.1007/978-3-030-17705-8_14

Cited by 24 publications

(9 citation statements)

References 25 publications

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“…Additionally, our findings suggest that any chatbot system should comply with several principles or rules that various authors already pointed out (Amato et al, 2017;Moore, 2018;Piccolo et al, 2019;Tavanapour et al, 2019). Chatbots should manage the unexpected by keeping the context, the coherence, and the conversation flow; have the capacity of summarisation but also to repair, repeat or paraphrase; recognise user utterances and preferences; provide affective, emotional and social cues; may be entertaining; must be transparent and provide trustfulness.…”

Section: Suggestions For Engaging Citizenssupporting

confidence: 63%

Interfacing participation in citizen science projects with conversational agents

Portela

2021

HCj

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This paper assesses the use of conversational agents (chatbots) as an interface to enhance communication with participants in citizen science projects. After developing a study of the engagement and motivations to interact with chatbots, we explored our results. We based our analysis on the current needs exposed in citizen science literature to assess the opportunities. We found that chatbots are great communication platforms that can help to engage participants as an all-in-one interface. Chatbots can benefit projects in reducing the need for developing an exclusive app while it can be deployed on several platforms. Finally, we establish design suggestions to help citizen science practitioners to incorporate such platforms to new projects. We encourage the development of more advanced interfaces through the incorporation of Machine Learning to several processes.

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Section: Suggestions For Engaging Citizenssupporting

confidence: 63%

Interfacing participation in citizen science projects with conversational agents

Portela

2021

HCj

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“…The recent substantial increase in chatbot research can be seen as a direct response to the uptake of so-called virtual assistants by big tech companies, specifically the inclusion of Siri as part of Apple operating system in 2011, Amazon's promotion of Alexa since 2014 and the conversational turn of Facebook, Microsoft and Google in 2016 [25]. Piccolo et al [86] concluded that chatbot research has followed in the trail of the industrial uptake of conversational computer systems rather than being at the driver seat. In consequence, the contribution of this burgeoning research area is as much to understand the emerging application, uses, and implications of conversational computing systems, as to improve on their technological underpinnings and methods for design and development.…”

Section: Historical Roots Of Chatbot Researchmentioning

confidence: 99%

“…Chatbots are currently taken up in application areas as diverse as customer service [1], health [105], education [53], and office work [78]. There has lately been a marked increase of interest in chatbot research within academia and industry, specifically from 2016 and onwards [86]. Recent research addresses, for example, chatbot use (e.g.…”

Section: Introductionmentioning

confidence: 99%

Future directions for chatbot research: an interdisciplinary research agenda

et al. 2021

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Chatbots are increasingly becoming important gateways to digital services and information—taken up within domains such as customer service, health, education, and work support. However, there is only limited knowledge concerning the impact of chatbots at the individual, group, and societal level. Furthermore, a number of challenges remain to be resolved before the potential of chatbots can be fully realized. In response, chatbots have emerged as a substantial research area in recent years. To help advance knowledge in this emerging research area, we propose a research agenda in the form of future directions and challenges to be addressed by chatbot research. This proposal consolidates years of discussions at the CONVERSATIONS workshop series on chatbot research. Following a deliberative research analysis process among the workshop participants, we explore future directions within six topics of interest: (a) users and implications, (b) user experience and design, (c) frameworks and platforms, (d) chatbots for collaboration, (e) democratizing chatbots, and (f) ethics and privacy. For each of these topics, we provide a brief overview of the state of the art, discuss key research challenges, and suggest promising directions for future research. The six topics are detailed with a 5-year perspective in mind and are to be considered items of an interdisciplinary research agenda produced collaboratively by avid researchers in the field.

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“…Additional areas of improvement for existing chatbots can be found in the dimensions of socio-emotional behavior and personality processing, where most of the analyzed chatbots present limited capabilities, while research has progressed significantly. Users expect chatbots to have human-like communication skills, which implies that not only chatbot personality, but also conversational style and socio-emotional skillset need to be adapted to the domain, end-user, and platform for which a chatbot has been designed (Jain et al 2018;Piccolo et al 2018). The area of emotional processing is currently being studied in the scientific community from various perspectives.…”

Section: Theoretical and Practical Implicationsmentioning

confidence: 99%

“…Although some elemental chatbot classification frameworks can be found in scientific literature, the research is dispersed into different thematic axes and research areas. Furthermore, the scientific and practical knowledge about chatbots has also grown in a segregated manner given a shortage of integrative perspectives to support chatbot development and design processes Jain et al 2018;Piccolo et al 2018). For instance, most scientific studies today concentrate on particular aspects of chatbots, such as the personality of cognitive chatbots, technical capabilities or their specific application Accepted after three revisions by the editors of the Special Issue.…”

Section: Introductionmentioning

confidence: 99%

Virtual Assistance in Any Context

et al. 2020

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Several domain-specific assistants in the form of chatbots have conquered many commercial and private areas. However, there is still a limited level of systematic knowledge of the distinctive characteristics of design elements for chatbots to facilitate development, adoption, implementation, and further research. To close this gap, the paper outlines a taxonomy of design elements for chatbots with 17 dimensions organized into the perspectives intelligence, interaction and context. The conceptually grounded design elements of the taxonomy are used to analyze 103 chatbots from 23 different application domains. Through a clustering-based approach, five chatbot archetypes that currently exist for domain-specific chatbots are identified. The developed taxonomy provides a structure to differentiate and categorize domain-specific chatbots according to archetypal qualities that guide practitioners when taking design decisions. Moreover, the taxonomy serves academics as a foundation for conducting further research on chatbot design while integrating scientific and practical knowledge.Keywords Chatbot taxonomy Á Design elements Á Domain-specific chatbots Á Human computer interaction Bus Inf Syst Eng 62(3): 211-225 (2020)

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Chasing the Chatbots

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Cited by 24 publications

References 25 publications

Interfacing participation in citizen science projects with conversational agents

Interfacing participation in citizen science projects with conversational agents

Future directions for chatbot research: an interdisciplinary research agenda

Virtual Assistance in Any Context

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