Chatbots applications in education: A systematic review

Computers and Education Artificial Intelligence, Journal Year: 2021, Volume and Issue: 2, P. 100033 - 100033

Published: Jan. 1, 2021

The introduction of Artificial Intelligence technology enables the integration Chatbot systems into various aspects education. This is increasingly being used for educational purposes. has potential to provide quick and personalised services everyone in sector, including institutional employees students. paper presents a systematic review previous studies on use Chatbots A approach was analyse 53 articles from recognised digital databases. results comprehensive understanding prior research related education, information existing studies, benefits, challenges, as well future areas implementation field implications findings were discussed, suggestions made.

Language: Английский

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Revolutionizing education with AI: Exploring the transformative potential of ChatGPT

Contemporary Educational Technology, Journal Year: 2023, Volume and Issue: 15(3), P. ep429 - ep429

Published: April 3, 2023

Artificial intelligence (AI) introduces new tools to the educational environment with potential transform conventional teaching and learning processes. This study offers a comprehensive overview of AI technologies, their applications in education, difficulties involved. Chatbots related algorithms that can simulate human interactions generate human-like text based on input from natural language are discussed. In addition advantages cutting-edge chatbots like ChatGPT, use education raises important ethical practical challenges. The authors aim provide insightful information how may be successfully incorporated into setting benefit teachers students, while promoting responsible use.

Language: Английский

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What influences algorithmic decision-making? A systematic literature review on algorithm aversion

Technological Forecasting and Social Change, Journal Year: 2021, Volume and Issue: 175, P. 121390 - 121390

Published: Dec. 13, 2021

With the continuing application of artificial intelligence (AI) technologies in decision-making, algorithmic decision-making is becoming more efficient, often even outperforming humans. Despite this superior performance, people consciously or unconsciously display reluctance to rely on algorithms, a phenomenon known as algorithm aversion. Viewed behavioral anomaly, aversion has recently attracted much scholarly attention. view synthesize findings existing literature, we systematically review 80 empirical studies identified through searching seven academic databases and using snowballing technique. We inductively categorize influencing factors under four main themes: algorithm, individual, task, high-level. Our analysis reveals that although individual have been investigated extensively, very little attention given exploring task high-level factors. contribute literature by proposing comprehensive framework, highlighting open issues studies, outlining several research avenues could be handled future research. model guide developers designing developing managers implementing decision.

Language: Английский

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Are users willing to embrace ChatGPT? Exploring the factors on the acceptance of chatbots from the perspective of AIDUA framework

Technology in Society, Journal Year: 2023, Volume and Issue: 75, P. 102362 - 102362

Published: Sept. 14, 2023

Language: Английский

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Chatbots in e-commerce: The effect of chatbot language style on customers’ continuance usage intention and attitude toward brand

Journal of Retailing and Consumer Services, Journal Year: 2022, Volume and Issue: 71, P. 103209 - 103209

Published: Nov. 25, 2022

Language: Английский

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Uncanny Valley Effects on Chatbot Trust, Purchase Intention, and Adoption Intention in the Context of E-Commerce: The Moderating Role of Avatar Familiarity

International Journal of Human-Computer Interaction, Journal Year: 2022, Volume and Issue: 40(2), P. 441 - 456

Published: Sept. 14, 2022

This study investigates the effect of chatbot humanization on perception eeriness, trust, and users’ behavioral intention. Specifically, this employed a 2 (humanization agent avatar: hyperrealistic-animated vs. cartoonish-still) × (avatar familiarity: celebrity avatar non-celebrity avatar) between-subjects experiment (N = 185), in which participants were asked to purchase laptop from an e-commerce vendor by interacting with agent. Based predictions uncanny valley hypothesis (UVE), enhancing human likeness through visual realism animacy was predicted negatively influence trust intention as consequence activation negative affective state (i.e., feeling eeriness). Consistent our predictions, results PLS-SEM showed that (a) significantly increased (b) eeriness influenced agent, c) determined affected willingness reuse chatbot, d) relationship between moderated familiarity avatar. We discuss theoretical implications current UVE well its practical for implementation anthropomorphized agents context.

Language: Английский

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What (de) motivates customers to use AI-powered conversational agents for shopping? The extended behavioral reasoning perspective

Journal of Retailing and Consumer Services, Journal Year: 2023, Volume and Issue: 75, P. 103440 - 103440

Published: June 16, 2023

Artificial Intelligence (AI)-powered conversational agents have become ubiquitous tools in the digital transformation of conventional customer-company interactions. Despite widespread implementation agents, there is still a limited understanding how customers use and resist these technologies for shopping. To address this gap, study investigates factors that influence usage resistance AI-based shopping using extended behavioral reasoning theory (BRT) partial least squares-based structural equation modeling (PLS-SEM). test proposed framework, conducted two empirical studies South Korea. Study 1 focused on text-based chatbots with sample 232 participants, while 2 examined voice-based 234 participants. The results both mainly supported hypotheses driven by BRT. Theoretically, contributes offering comprehensive customer motivation, attitudes, intentions toward AI-powered Managerially, provides important insights retail managers developers By drive resistance, managers, can better design deploy innovative to enhance experience improve business outcomes.

Language: Английский

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Chatbots in customer service: Their relevance and impact on service quality

Procedia Computer Science, Journal Year: 2022, Volume and Issue: 201, P. 421 - 428

Published: Jan. 1, 2022

Chatbots are increasingly finding their way into e-commerce and e-services, as implementation opens up promising opportunities to improve customer service. The present paper examines chatbots in this context, elaborating on functional aspects that rapidly leading significant improvements service quality. First, based a literature review of recent publications field, an overview key features functionalities underlining the relevance for is provided. Second, further contribution made by introducing two categories chatbots' objectives dedication, i.e. "improvement performance" "fulfillment customer's expectations". considered customer-related functions interaction, entertainment, problem-solving, trendiness, customization. chatbot discussed detail. Their positive influence quality, constituting goal, well potential pointed out.

Language: Английский

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Anthropomorphism and social presence in Human–Virtual service assistant interactions: The role of dialog length and attitudes

Computers in Human Behavior, Journal Year: 2022, Volume and Issue: 135, P. 107343 - 107343

Published: June 2, 2022

In this study, we delve into the perceived quality of recommendations provided by AI-based virtual service assistants (VSAs). Specifically, role social presence VSAs in influencing recommendation perceptions is investigated. We also explore how a VSA formed and anthropomorphism plays vital shaping eventually instilling trust among consumers. These relationships are examined context online government services. The results indicate that consumer interaction with - manifesting via anthropomorphism, presence, dialog length, attitudes improves perceptions, which further instills VSA-based recommendations. Perceived was found to strongly influence formation whereas outcomes were be partially conditional on length degree positive toward VSAs. findings additionally suggest can considered actor possesses capability bring "human touch" services, therefore improving overall experience.

Language: Английский

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The appropriation of conversational AI in the workplace: A taxonomy of AI chatbot users

International Journal of Information Management, Journal Year: 2022, Volume and Issue: 69, P. 102568 - 102568

Published: Aug. 29, 2022

There is an exponential growth of the use AI applications in organisations. Due to machine learning capability artificial intelligence (AI) applications, it critical that such systems are used continuously order generate rich data allow them learn, evolve and mature into a better fit for their user organisational context. This research focuses on actual conversational AI, particular chatbot, as one type workplace application answer question: how do employees experience chatbot day-to-day work? Through qualitative case study large international organisation by performing inductive analysis, uncovers different ways which users appropriate identifies two key dimensions determine use: dominant mode interaction understanding technology. Based these dimensions, taxonomy presented, classifies chatbots four types: early quitters, pragmatics, progressives, persistents. The findings contribute particularly chatbots, organisations pave way further this regard. implications practice also discussed.

Language: Английский

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