Agentic Relationship Dynamics in Human-AI Collaboration: A study of interactions with GPT-based agentic IS artifacts

Björn Svensson; Christina Keller

Agentic Relationship Dynamics in Human-AI Collaboration: A study of interactions with GPT-based agentic IS artifacts

Department of Informatics

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

Abstract

Generative Artificial Intelligence (AI) having become increasingly embedded into work in both academia and industry has put a magnifying glass on Human-AI collaboration. With this paper, we seek to answer calls for research on the interactions between human and AI agents and their outcomes. We adopt the IS Delegation Framework (Baird & Maruping, 2021) to look at dynamics in relationships between human agents and Generative Pre-trained Transformer-based agentic IS artifacts and how these dynamics manifest. By conducting and analyzing data from semi-structured interviews, we were able to identify five salient agentic relationship dynamics affecting common understanding, willingness to delegate, cognitive load in human agents, confidence, and human agents' abilities to break GPT-based agentic IS artifacts' "thought loops". With this, we aim to provide nuanced insight into GPT-based agentic IS artifacts and agentic relationship dynamics involving cognitive tasks.

Original language	English
Title of host publication	Proceedings of the 57th Hawaii International Conference on System Sciences
Publisher	University of Hawaii at Manoa
Pages	7292-7301
Number of pages	10
ISBN (Electronic)	978-0-9981331-7-1
Publication status	Published - 2024 Jan 3
Event	57th Hawaii International Conference on System Sciences - Hilton Hawaiian Village Waikiki Beach Resort, Honolulu, United States Duration: 2024 Jan 3 → 2024 Jan 6 https://hicss.hawaii.edu

Conference

Conference	57th Hawaii International Conference on System Sciences
Abbreviated title	HICSS57
Country/Territory	United States
City	Honolulu
Period	2024/01/03 → 2024/01/06
Internet address	https://hicss.hawaii.edu

Subject classification (UKÄ)

Information Systems, Social aspects

Free keywords

generative artificial intelligence
generative AI
IS delegation
agentic IS artifacts

Access to Document

https://hdl.handle.net/10125/107261Licence: CC BY-NC-ND

Cite this

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title = "Agentic Relationship Dynamics in Human-AI Collaboration: A study of interactions with GPT-based agentic IS artifacts",

abstract = "Generative Artificial Intelligence (AI) having become increasingly embedded into work in both academia and industry has put a magnifying glass on Human-AI collaboration. With this paper, we seek to answer calls for research on the interactions between human and AI agents and their outcomes. We adopt the IS Delegation Framework (Baird & Maruping, 2021) to look at dynamics in relationships between human agents and Generative Pre-trained Transformer-based agentic IS artifacts and how these dynamics manifest. By conducting and analyzing data from semi-structured interviews, we were able to identify five salient agentic relationship dynamics affecting common understanding, willingness to delegate, cognitive load in human agents, confidence, and human agents' abilities to break GPT-based agentic IS artifacts' {"}thought loops{"}. With this, we aim to provide nuanced insight into GPT-based agentic IS artifacts and agentic relationship dynamics involving cognitive tasks.",

keywords = "generative artificial intelligence, generative AI, IS delegation, agentic IS artifacts",

author = "Bj{\"o}rn Svensson and Christina Keller",

year = "2024",

month = jan,

day = "3",

language = "English",

pages = "7292--7301",

booktitle = "Proceedings of the 57th Hawaii International Conference on System Sciences",

publisher = "University of Hawaii at Manoa",

note = "57th Hawaii International Conference on System Sciences, HICSS57 ; Conference date: 03-01-2024 Through 06-01-2024",

url = "https://hicss.hawaii.edu",

}

Svensson, B & Keller, C 2024, Agentic Relationship Dynamics in Human-AI Collaboration: A study of interactions with GPT-based agentic IS artifacts. in Proceedings of the 57th Hawaii International Conference on System Sciences. University of Hawaii at Manoa, pp. 7292-7301, 57th Hawaii International Conference on System Sciences, Honolulu, Hawaii, United States, 2024/01/03. <https://hdl.handle.net/10125/107261>

Agentic Relationship Dynamics in Human-AI Collaboration: A study of interactions with GPT-based agentic IS artifacts. / Svensson, Björn ; Keller, Christina.
Proceedings of the 57th Hawaii International Conference on System Sciences. University of Hawaii at Manoa, 2024. p. 7292-7301.

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

TY - GEN

T1 - Agentic Relationship Dynamics in Human-AI Collaboration: A study of interactions with GPT-based agentic IS artifacts

AU - Svensson, Björn

AU - Keller, Christina

PY - 2024/1/3

Y1 - 2024/1/3

N2 - Generative Artificial Intelligence (AI) having become increasingly embedded into work in both academia and industry has put a magnifying glass on Human-AI collaboration. With this paper, we seek to answer calls for research on the interactions between human and AI agents and their outcomes. We adopt the IS Delegation Framework (Baird & Maruping, 2021) to look at dynamics in relationships between human agents and Generative Pre-trained Transformer-based agentic IS artifacts and how these dynamics manifest. By conducting and analyzing data from semi-structured interviews, we were able to identify five salient agentic relationship dynamics affecting common understanding, willingness to delegate, cognitive load in human agents, confidence, and human agents' abilities to break GPT-based agentic IS artifacts' "thought loops". With this, we aim to provide nuanced insight into GPT-based agentic IS artifacts and agentic relationship dynamics involving cognitive tasks.

AB - Generative Artificial Intelligence (AI) having become increasingly embedded into work in both academia and industry has put a magnifying glass on Human-AI collaboration. With this paper, we seek to answer calls for research on the interactions between human and AI agents and their outcomes. We adopt the IS Delegation Framework (Baird & Maruping, 2021) to look at dynamics in relationships between human agents and Generative Pre-trained Transformer-based agentic IS artifacts and how these dynamics manifest. By conducting and analyzing data from semi-structured interviews, we were able to identify five salient agentic relationship dynamics affecting common understanding, willingness to delegate, cognitive load in human agents, confidence, and human agents' abilities to break GPT-based agentic IS artifacts' "thought loops". With this, we aim to provide nuanced insight into GPT-based agentic IS artifacts and agentic relationship dynamics involving cognitive tasks.

KW - generative artificial intelligence

KW - generative AI

KW - IS delegation

KW - agentic IS artifacts

M3 - Paper in conference proceeding

SP - 7292

EP - 7301

BT - Proceedings of the 57th Hawaii International Conference on System Sciences

PB - University of Hawaii at Manoa

T2 - 57th Hawaii International Conference on System Sciences

Y2 - 3 January 2024 through 6 January 2024

ER -

Agentic Relationship Dynamics in Human-AI Collaboration: A study of interactions with GPT-based agentic IS artifacts

Abstract

Conference

Subject classification (UKÄ)

Free keywords

Access to Document

Fingerprint

Cite this