Ordinary User Oriented Model Construction for Assisting Conversational Agents

Leray, David; Sansonnet, Jean-Paul

doi:10.1109/wi-iatw.2006.101

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…Chatbots display agency and may invade personal space, thereby interfering with an individual's cognitive process (Li et al, 2002;Morimoto & Chang, 2006). This may lead to perceptions of being "uninvited" in the conversation (Fournier & Avery, 2011) and consequently to higher intrusiveness (Leray & Sansonnet, 2007). In this case, a source acting less autonomously like a Web site would be more persuasive, leading to the following hypotheses:…”

Section: The Role Of Experiential Perceptionsmentioning

confidence: 99%

“I Am Here to Assist You Today”: The Role of Entity, Interactivity and Experiential Perceptions in Chatbot Persuasion

Ischen

Araujo

Noort

et al. 2020

Journal of Broadcasting & Electronic Media

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Online users are increasingly exposed to chatbots as one form of AI-enabled media technologies, employed for persuasive purposes, e.g., making product/service recommendations. However, the persuasive potential of chatbots has not yet been fully explored. Using an online experiment (N = 242), we investigate the extent to which communicating with a stand-alone chatbot influences affective and behavioral responses compared to interactive Web sites. Several underlying mechanisms are studied, showing that enjoyment is the key mechanism explaining the positive effect of chatbots (vs. Web sites) on recommendation adherence and attitudes. Contrary to expectations, perceived anthropomorphism seems not to be particularly relevant in this comparison.The communication between online users and organizations is increasingly shifting toward interactions with technology driven by artificial intelligence (AI; Sundar, 2020). Among the most prevalent instances of technology with which users are confronted are AI-based chatbots. Defined as "software that accepts natural language as input and generates natural language as output, engaging in a conversation" (Griol et al., 2013, p. 706), chatbots can be found on social media (e.g., Facebook, Twitter) and messaging apps (e.g., Skype, Facebook Messenger); they can be an alternative to (branded) Web sites (e.g., A.s.r., 2019). These stand-alone chatbots are often used for making product or service recommendations (e.g., shopping, financial/health-related CONTACT Carolin Ischen

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Section: The Role Of Experiential Perceptionsmentioning

confidence: 99%

“I Am Here to Assist You Today”: The Role of Entity, Interactivity and Experiential Perceptions in Chatbot Persuasion

Ischen

Araujo

Noort

et al. 2020

Journal of Broadcasting & Electronic Media

View full text Add to dashboard Cite

show abstract

“…These systems have been developed with no concern of the issues a) in Natural Language Understanding (NLU) or b) in symbolic reasoning over the current state of the application. The consequence is that the believability of these agents is very weak, especially for expert users: this phenomenon is known as the "Clippie effect" [4]. As a matter of fact, when users feel frustrated navigating in the CHS to find the effective links of help information, they may naturally think about posting a request i.e.…”

Section: Assisting Conversational Agentmentioning

confidence: 99%

An ACA-Based Semantic Space for Processing Domain Knowledge in the Assistance Context

Xuetao

Bouchet

Sansonnet

2009

2009 International Conference on New Trends in Information and Service Science

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For decades, people have been willing to interact with embodied conversational agents. This has driven researchers to consider more about social engineering than pure technical programming in building agent intelligence. As a typical application, assisting conversational agents aimed at helping people with attempting web-based applications have seen efficiency in many areas from e-learning to e-business and on-line games. The most outstanding feature of this kind of applications is that the assisting agent plays a role as a mediator conversing with users regarding the profile or topic of the to-be-assisted application. In this paper, we present a semantic space to model the knowledge in the assistance context considering both static and dynamic properties of the helping systems.

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Subjectivity and Cognitive Biases Modeling for a Realistic and Efficient Assisting Conversational Agent

Bouchet

Sansonnet

2009

2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology

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Ordinary User Oriented Model Construction for Assisting Conversational Agents

Cited by 6 publications

References 4 publications

“I Am Here to Assist You Today”: The Role of Entity, Interactivity and Experiential Perceptions in Chatbot Persuasion

“I Am Here to Assist You Today”: The Role of Entity, Interactivity and Experiential Perceptions in Chatbot Persuasion

An ACA-Based Semantic Space for Processing Domain Knowledge in the Assistance Context

Subjectivity and Cognitive Biases Modeling for a Realistic and Efficient Assisting Conversational Agent

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