Companion Bot Development: A Human Interaction-based Theoretical Lens

Sagarika Suresh Thimmanayakanapalya; Raj Sharman; Harshada Dayasagar Samant

Companion Bot Development: A Human Interaction-based Theoretical Lens

Sagarika Suresh Thimmanayakanapalya
, Raj Sharman
, Harshada Dayasagar Samant

Management Science and Systems

SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Companion bots have the potential to alleviate loneliness and provide companionship. To accomplish this, the bot must generate appropriate conversations that are contextually relevant and interesting to the human companion. This research synthesizes 48 papers pertinent to companion bots. To understand and develop critical companion bot elements of the conversations, this paper explores prior literature to understand the human-interaction theories that have been leveraged.

Original language	English
Title of host publication	29th Annual Americas Conference on Information Systems, AMCIS 2023
Publisher	Association for Information Systems
ISBN (Electronic)	9781713893592
State	Published - 2023
Event	29th Annual Americas Conference on Information Systems: Diving into Uncharted Waters, AMCIS 2023 - Panama City, Panama Duration: Aug 10 2023 → Aug 12 2023

Publication series

Name	29th Annual Americas Conference on Information Systems, AMCIS 2023

Conference

Conference	29th Annual Americas Conference on Information Systems: Diving into Uncharted Waters, AMCIS 2023
Country/Territory	Panama
City	Panama City
Period	08/10/23 → 08/12/23

Keywords

Companion Bot
Conversational Agents
Interaction Theories
Relationship Theories

Cite this

@inproceedings{28146094421c4ed1a5dc7a26d015ac5c,

title = "Companion Bot Development: A Human Interaction-based Theoretical Lens",

abstract = "Companion bots have the potential to alleviate loneliness and provide companionship. To accomplish this, the bot must generate appropriate conversations that are contextually relevant and interesting to the human companion. This research synthesizes 48 papers pertinent to companion bots. To understand and develop critical companion bot elements of the conversations, this paper explores prior literature to understand the human-interaction theories that have been leveraged.",

keywords = "Companion Bot, Conversational Agents, Interaction Theories, Relationship Theories",

author = "Thimmanayakanapalya, \{Sagarika Suresh\} and Raj Sharman and Samant, \{Harshada Dayasagar\}",

note = "Publisher Copyright: {\textcopyright} 2023 29th Annual Americas Conference on Information Systems, AMCIS 2023. All rights reserved.; 29th Annual Americas Conference on Information Systems: Diving into Uncharted Waters, AMCIS 2023 ; Conference date: 10-08-2023 Through 12-08-2023",

year = "2023",

language = "English",

series = "29th Annual Americas Conference on Information Systems, AMCIS 2023",

publisher = "Association for Information Systems",

booktitle = "29th Annual Americas Conference on Information Systems, AMCIS 2023",

address = "United States",

}

Thimmanayakanapalya, SS, Sharman, R & Samant, HD 2023, Companion Bot Development: A Human Interaction-based Theoretical Lens. in 29th Annual Americas Conference on Information Systems, AMCIS 2023. 29th Annual Americas Conference on Information Systems, AMCIS 2023, Association for Information Systems, 29th Annual Americas Conference on Information Systems: Diving into Uncharted Waters, AMCIS 2023, Panama City, Panama, 08/10/23.

Companion Bot Development: A Human Interaction-based Theoretical Lens. / Thimmanayakanapalya, Sagarika Suresh; Sharman, Raj; Samant, Harshada Dayasagar.
29th Annual Americas Conference on Information Systems, AMCIS 2023. Association for Information Systems, 2023. (29th Annual Americas Conference on Information Systems, AMCIS 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Companion Bot Development

T2 - 29th Annual Americas Conference on Information Systems: Diving into Uncharted Waters, AMCIS 2023

AU - Thimmanayakanapalya, Sagarika Suresh

AU - Sharman, Raj

AU - Samant, Harshada Dayasagar

PY - 2023

Y1 - 2023

N2 - Companion bots have the potential to alleviate loneliness and provide companionship. To accomplish this, the bot must generate appropriate conversations that are contextually relevant and interesting to the human companion. This research synthesizes 48 papers pertinent to companion bots. To understand and develop critical companion bot elements of the conversations, this paper explores prior literature to understand the human-interaction theories that have been leveraged.

AB - Companion bots have the potential to alleviate loneliness and provide companionship. To accomplish this, the bot must generate appropriate conversations that are contextually relevant and interesting to the human companion. This research synthesizes 48 papers pertinent to companion bots. To understand and develop critical companion bot elements of the conversations, this paper explores prior literature to understand the human-interaction theories that have been leveraged.

KW - Companion Bot

KW - Conversational Agents

KW - Interaction Theories

KW - Relationship Theories

UR - https://www.scopus.com/pages/publications/85192921299

M3 - Conference contribution

AN - SCOPUS:85192921299

T3 - 29th Annual Americas Conference on Information Systems, AMCIS 2023

BT - 29th Annual Americas Conference on Information Systems, AMCIS 2023

PB - Association for Information Systems

Y2 - 10 August 2023 through 12 August 2023

ER -

Companion Bot Development: A Human Interaction-based Theoretical Lens

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Publication series

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Keywords

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