Hypothesis: Machine learning has made chat-bots indistinguishable from humans.

Proposal Outline:

Introduction

• Marketing with AI: Chatbots Are Smarther Than You Think: Senturia, 2018
• The future workforce: how conversational AI is changing the game: 2022
• Dr. Bot will see you now: Heaven, 2018
• Research hypothesis

Chatbot Deep Learning (Literature Review)

• The Bots Turning Businesses into Digital Transformers: Saran, 2019
• Get Ready for the Bot Revolution: Waxer (2016)
• The Impact of Chatbot Conversational Skill on Engagement and Perceived Humanness: Schuetzler et al., 2020
• Real Conversations with Artificial Intelligence: Hill et al., 2015

Methodology

• Quantitative research with a nonexperimental study
• Observe a group of participants as they interact with a chatbot and then a human assistant.
• Participants will be asked about their experiences with the AI chatbot and the human assistant.
• A questionnaire might be used to ask the participants if they thought they were engaging with a chatbot or an actual human.

Discussion

The purpose of the study was to test whether participants can distinguish between their interactions with a chatbot or a human. The data should support the hypothesis that chatbots are indistinguishable from humans.

References:

Heaven, D. (2018). Dr. Bot will see you now. MIT Technology Review 121(6), 22–27.

Hill, J., Randolph Ford, W., & Farreras, I. G. (2015). Real Conversations with Artificial  Intelligence: A comparison between human–human online conversations and human–chatbot conversations. Computers in Human Behavior, 49, 245–250. https://doi.org/10.1016/j.chb.2015.02.026

Saran, C. (2019). The Bots Turning Businesses into Digital Transformers. Computer Weekly, 24–28.

Senturia, M. (2018, Autumn). Marketing With AI: Chatbots Are Smarter Than You Think. EContent, 41(4), 18+. https://link.gale.com/apps/doc/A559525860/CDB?u=klnb_fhsuniv&sid=bookmark-CDB&xid=89ea04fc

Schuetzler, R. M., Grimes, G. M., & Scott Giboney, J. (2020). The impact of chatbot conversational skill on engagement and perceived humanness. Journal of Management Information Systems, 37(3), 875–900. https://doi-org.ezproxy.fhsu.edu/10.1080/07421222.2020.1790204

The future workforce: how conversational AI is changing the game. (2022, January 19). Express Computers, NA. https://link.gale.com/apps/doc/A689878411/CDB?u=klnb_fhsuniv&sid=bookmark-CDB&xid=38c54d87

Waxer, C. (2016). Get Ready for the Bot Revolution. Computerworld Digital Magazine, 3(3), 8–14.