Conversational Web Interaction: Proposal of a Dialog-Based Natural Language Interaction Paradigm for the Web

Báez, Marcos; Daniel, Florian; Casati, Fabio

doi:10.1007/978-3-030-39540-7_7

Cited by 19 publications

(13 citation statements)

References 37 publications

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“…Adam et al 1). While dedicated workshops and conferences of relevance to chatbot research are emerging-such as CUI, 6 CONVERSATIONS, 7 and CAIR 8 -in addition to established venues-such as SIGDIAL, 9 IVA, 10 IWSDS, 11 and INTERSPEECH 12 -research findings are typically presented in a broad range of journals and conferences. Research related to chatbots is also conducted in multiple communities with varying degrees of exchange among them.…”

Section: Research Communitiesmentioning

confidence: 99%

“…6 CUI 2021-Conversational User Interfaces, https://www.conversationaluserinterfaces.org/2021/. 7 CONVERSATIONS 2021-international workshop on chatbot research, https://conversations2021. wordpress.com/.…”

Section: Research Communitiesmentioning

confidence: 99%

“…Third, challenges remain in solutions for supporting chatbot development and standardised testing for example in terms of studies simulating production environments and approaches to improve chatbots more easily in production. Last, as chatbots are becoming part of an ecosystem of software systems, supporting chatbot integration in this context is a new emerging challenge-for example by facilitating conversational presentation of information and content also intended for other use [7].…”

Section: Research Challengesmentioning

confidence: 99%

“…By allowing simple natural language dialogues, chatbots are potentially a lowthreshold means to access information and services and may as such serve to bridge digital divides and strengthen inclusion [14]. Chatbots have been suggested as accessible interactive systems for visually impaired in need of an easily navigable user interface [7], as conversational support for users with special needs [19], and to support youth to engage in societal issues [110]. Chatbots may improve access to health care services (e.g.…”

Section: State Of the Artmentioning

confidence: 99%

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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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Section: Research Communitiesmentioning

confidence: 99%

Section: Research Communitiesmentioning

confidence: 99%

Section: Research Challengesmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

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Future directions for chatbot research: an interdisciplinary research agenda

et al. 2021

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“…The idea of using chatbots to provide a communication medium for the users is becoming an industry standard and also a promising research direction in academia (Raghuvanshi et al, 2018). Chatbots are normally following a straightforward Input-Intent-Action-Response conversation model designed for modern conversational agents (Baez et al, 2020). In this work, we used a modified version, by refining the Intent and Action steps, to design our domain-specific chatbot for Web service discovery (Figure 1).…”

Section: Discovery Chat-botmentioning

confidence: 99%