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I'm Sorry, Dave, I'm Afraid I Can't Do That: Chatbot Perception and Expectations

Published: 27 October 2017 Publication History

Abstract

Artificial intelligence continues to grow in popularity on mobile platforms, increasing exposure to chatbot apps. Chatbot technology has evolved over time, yet the purpose and added value that chatbots offer has not been clearly defined. In order to design a chatbot that provides a meaningful experience, we must first understand what expectations people have for this technology, and what opportunities are there for chatbots based on user needs. This study includes qualitative data from 54 participants in the US and India, sharing their expectations and experiences with a chatbot. The research objectives include:1) understand user perception and expectations of chatbots 2) surface preferences for input modality and 3) identify domains where chatbots can add meaningful purpose.

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    cover image ACM Conferences
    HAI '17: Proceedings of the 5th International Conference on Human Agent Interaction
    October 2017
    550 pages
    ISBN:9781450351133
    DOI:10.1145/3125739
    This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike International 4.0 License.

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    New York, NY, United States

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    Published: 27 October 2017

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    Author Tags

    1. artificial intelligence
    2. chatbots
    3. input
    4. mobile

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    • (2024)The Role of Social Factors in the Acceptance of Artificial Intelligence-Based Services: the Example of the Banking Sector of Bosnia and HerzegovinaSouth East European Journal of Economics and Business10.2478/jeb-2024-001019:1(145-158)Online publication date: 29-Jun-2024
    • (2024)Duygusal Yalnızlığa Bir Çözüm Olarak Chatgpt: Kişilerarası İletişimin Yeni AracıChatGPT as a Solution to Emotional Loneliness: A New Tool for Interpersonal CommunicationTürkiye İletişim Araştırmaları Dergisi10.17829/turcom.1360418Online publication date: 5-Jan-2024
    • (2024)Chatbots from the users’ perspective – A systematic literature reviewVezetéstudomány / Budapest Management Review10.14267/VEZTUD.2024.07-08.0755:7-8(74-85)Online publication date: 10-Jul-2024
    • (2024)Grounding with Structure: Exploring Design Variations of Grounded Human-AI Collaboration in a Natural Language InterfaceProceedings of the ACM on Human-Computer Interaction10.1145/36869028:CSCW2(1-27)Online publication date: 8-Nov-2024
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    • (2024)Explaining the Wait: How Justifying Chatbot Response Delays Impact User TrustProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665550(1-16)Online publication date: 8-Jul-2024
    • (2024)Understanding Public Perceptions of AI Conversational Agents: A Cross-Cultural AnalysisProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642840(1-17)Online publication date: 11-May-2024
    • (2024)The Employees Intention to Work in Artificial Intelligence-Based Hybrid EnvironmentsIEEE Transactions on Engineering Management10.1109/TEM.2022.319366471(3266-3277)Online publication date: 2024
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