Affordances in Human-Chatbot Interaction: A Review of the Literature - Responsible AI and Analytics for an Ethical and Inclusive Digitized Society Access content directly
Conference Papers Year : 2021

Affordances in Human-Chatbot Interaction: A Review of the Literature

Abstract

The present study advances our understanding of human-AI interactions, by identifying and analyzing chatbot affordances in prior research. The results of this review consolidate research findings on chatbots’ affordances, which must be taken into consideration when chatbot-based services are designed and deployed. Specifically, the review of state-of-the-art literature led to the identification of nine high level affordances: Human Like Conversing, Assistance Provision, Facilitation, Distilling Information, Enriching Information, Context Identification, Personalization, Fostering Familiarity and Ensuring Privacy. Our contribution is twofold. First, we map the chatbot affordances identified in prior research and group them in higher-level, overarching affordances through a thematic analysis. Furthermore, we identify areas for future research providing a foundation for researchers aiming to engage with the research area.
Fichier principal
Vignette du fichier
512902_1_En_1_Chapter.pdf (482.72 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03648169 , version 1 (21-04-2022)

Licence

Attribution

Identifiers

Cite

Morten Johan Mygland, Morten Schibbye, Ilias O. Pappas, Polyxeni Vassilakopoulou. Affordances in Human-Chatbot Interaction: A Review of the Literature. 20th Conference on e-Business, e-Services and e-Society (I3E), Sep 2021, Galway, Ireland. pp.3-17, ⟨10.1007/978-3-030-85447-8_1⟩. ⟨hal-03648169⟩
62 View
3 Download

Altmetric

Share

Gmail Facebook X LinkedIn More