How whatsappization of the chatbot affects perceived ease of use, perceived usefulness, and attitude toward using in a drive-sharing task

With the advent of large language models, a spotlight has been turned onto chatbots. Utilizing the Technology Acceptance Model (TAM), we investigated whether whatsappization of the chatbot – making the conversation more resemble a WhatsApp conversation – improves Perceived Ease of Use, Perceived Usefulness, and Attitude Toward Using. In today's world, given that WhatsApp conversations sometimes substitute for face-to-face communication, borrowing this format for use in another framework was reasonable. Participants, assigned a drive-sharing task, communicated with a textual chatbot via WhatsApp and had to decide whether to take a lift to college with a driver suggested by the chatbot. Whatsappization of the chatbot was done in two ways: Through a dialog-style conversation (Dialog versus No Dialog), and by adding WhatsApp indicators – “Last Seen”, “Connected”, “Read Receipts”, and “Typing …” (Indicators versus No Indicators). The research was full factorial, with a 2 by 2 design. 120 participants were randomly assigned to one of the four groups, with 30 participants in each group. The results, using one-way ANOVAs, demonstrated that the interaction with the chatbot was longer under the Dialog compared to the No Dialog condition, and participants in the Dialog condition had a lower rating for Attitude Toward Using. In addition, both for the Perceived Ease of Use and Perceived Usefulness constructs, participants' ratings were lower under the Indicators compared to the No Indicators condition. Our findings signal that whatsappization of the chatbot decreased user's motivation to use the system. Hence, the current study suggests that a non-human agent should not try to imitate a WhatsApp conversation. • We studied the effects of whatsappization of the chatbot in a drive-sharing task. • We examined a dialog-style conversation and adding WhatsApp indicators. • The Attitude Toward Using was lower under the Dialog condition. • The Perceived Ease of Use was lower under the Indicators condition. • The Perceived Usefulness was lower under the Indicators condition.

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Publication Details

Journal
Computers in Human Behavior Reports
Published
2024-11-28
DOI
https://doi.org/10.1016/j.chbr.2024.100546
Citations
6
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
2.08
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article

How whatsappization of the chatbot affects perceived ease of use, perceived usefulness, and attitude toward using in a drive-sharing task

Nirit Yuviler-Gavish, Rotem Halutz, Liad Neta
6 citations
Computers in Human Behavior Reports
AI in Service Interactions
2.08
article

How whatsappization of the chatbot affects perceived ease of use, perceived usefulness, and attitude toward using in a drive-sharing task

Nirit Yuviler-Gavish, Rotem Halutz, Liad Neta
article en
6 citations

Abstract

With the advent of large language models, a spotlight has been turned onto chatbots. Utilizing the Technology Acceptance Model (TAM), we investigated whether whatsappization of the chatbot – making the conversation more resemble a WhatsApp conversation – improves Perceived Ease of Use, Perceived Usefulness, and Attitude Toward Using. In today's world, given that WhatsApp conversations sometimes substitute for face-to-face communication, borrowing this format for use in another framework was reasonable. Participants, assigned a drive-sharing task, communicated with a textual chatbot via WhatsApp and had to decide whether to take a lift to college with a driver suggested by the chatbot. Whatsappization of the chatbot was done in two ways: Through a dialog-style conversation (Dialog versus No Dialog), and by adding WhatsApp indicators – “Last Seen”, “Connected”, “Read Receipts”, and “Typing …” (Indicators versus No Indicators). The research was full factorial, with a 2 by 2 design. 120 participants were randomly assigned to one of the four groups, with 30 participants in each group. The results, using one-way ANOVAs, demonstrated that the interaction with the chatbot was longer under the Dialog compared to the No Dialog condition, and participants in the Dialog condition had a lower rating for Attitude Toward Using. In addition, both for the Perceived Ease of Use and Perceived Usefulness constructs, participants' ratings were lower under the Indicators compared to the No Indicators condition. Our findings signal that whatsappization of the chatbot decreased user's motivation to use the system. Hence, the current study suggests that a non-human agent should not try to imitate a WhatsApp conversation. • We studied the effects of whatsappization of the chatbot in a drive-sharing task. • We examined a dialog-style conversation and adding WhatsApp indicators. • The Attitude Toward Using was lower under the Dialog condition. • The Perceived Ease of Use was lower under the Indicators condition. • The Perceived Usefulness was lower under the Indicators condition.

Computers in Human Behavior ReportsVol. 16
Braude College of Engineering Karmiel (IL)
Reduced inequalities
Openalex Percentile: Top 11%
AI in Service Interactions
2.08
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