Exploring the effects of specialist versus generalist embodied virtual agents in a multi-product category online store

Can an angry pedagogical agent enhance mental effort and learning performance in a multimedia learning environment?

Purpose

This study aims to examine if a pedagogical agent’s expressed anger, when framed as a feedback cue, can enhance mental effort and learning performance in a multimedia learning environment than expressed happiness.

Design/methodology/approach

A between-subjects experiment was conducted in which learners engaged with a multimedia learning material that taught programming algorithms, featuring a pedagogical agent who expressed anger or happiness as a feedback cue in response to the learners’ prior performance. Learners completed a self-reported scale and post-test for measuring mental effort and learning performance, respectively.

Findings

Female learners reported higher mental effort and had better learning performance when the pedagogical agent expressed anger than happiness. Male learners reported marginally lower mental effort when the pedagogical agent expressed anger than happiness.

Originality/value

This study focuses on a pedagogical agent’s expressed emotion as social information to learners. Extending from research advocating a pedagogical agent’s positive emotional expression, this study highlights the potential benefits of a pedagogical agent’s negative emotional expression, such as anger, as a cue for learners to enhance learning effort and performance in a multimedia learning environment.

Multi-Chatbot or Single-Chatbot? The Effects of M-Commerce Chatbot Interface on Source Credibility, Social Presence, Trust, and Purchase Intention

Most chatbot interfaces in contemporary m-commerce platforms feature a single chatbot that provides recommendations for all product categories. Nonetheless, there is an emerging research interest in multi-chatbot systems designating multiple chatbots as product/domain-specific advisers. Given the dearth of studies investigating the effects of multi-chatbot versus single-chatbot in the m-commerce context, we addressed this research gap by conducting an online between-subjects experiment to explore how the m-commerce chatbot interface types can differently influence source credibility, social presence, trusting beliefs, and purchase intention. Based on 154 valid responses, the single-chatbot interface led to higher social presence and trusting beliefs toward the m-commerce platform than the multi-chatbot interface. Males attributed the chatbot with higher competence and reported higher purchase intention through the m-commerce platform when engaging with the single-chatbot interface than the multi-chatbot interface. These findings suggest that designating chatbots as product-specific advisers in a multi-chatbot interface without labels to accentuate expertise could not evoke the users to categorize them as product specialists. Moreover, the multi-chatbot interface could have imposed user confusion and unfamiliarity cues, decreasing trust in the m-commerce platform. These findings’ theoretical, design, and managerial implications are discussed through the lens of the computers-are-social-actors paradigm, source credibility theory, source specialization, multiple source effect, and m-commerce behavioral research.

The Trustworthiness of Voice Assistants in the Context of Healthcare Investigating the Effect of Perceived Expertise on the Trustworthiness of Voice Assistants, Providers, Data Receivers, and Automatic Speech Recognition

As an emerging market for voice assistants (VA), the healthcare sector imposes increasing requirements on the users’ trust in the technological system. To encourage patients to reveal sensitive data requires patients to trust in the technological counterpart. In an experimental laboratory study, participants were presented a VA, which was introduced as either a “specialist” or a “generalist” tool for sexual health. In both conditions, the VA asked the exact same health-related questions. Afterwards, participants assessed the trustworthiness of the tool and further source layers (provider, platform provider, automatic speech recognition in general, data receiver) and reported individual characteristics (disposition to trust and disclose sexual information). Results revealed that perceiving the VA as a specialist resulted in higher trustworthiness of the VA and of the provider, the platform provider and automatic speech recognition in general. Furthermore, the provider’s trustworthiness affected the perceived trustworthiness of the VA. Presenting both a theoretical line of reasoning and empirical data, the study points out the importance of the users’ perspective on the assistant. In sum, this paper argues for further analyses of trustworthiness in voice-based systems and its effects on the usage behavior as well as the impact on responsible design of future technology.

Exploring the effects of a non-interactive talking avatar on social presence, credibility, trust, and patronage intention in an e-commerce website

While prior research has examined the effects of interactive e-commerce avatars that simulate the roles of virtual assistants and recommender agents, there is lack of empirical study that investigates the effects of non-interactive talking avatars in e-commerce. This is unfortunate, as many websites today utilize non-interactive talking avatars that provide one-way dialogue in the forms of greetings, introduction of the company, and description of products and services offered. To bridge this gap, our study aims to investigate the effects of non-interactive talking avatar on perceptions of social presence, credibility, website trust, and patronage intention in an online store. Comparing between the experimental (website with avatar) and control (website without avatar) conditions, the experimental results showed that perceived social presence was significantly enhanced by the presence of the non-interactive talking avatar. Furthermore, the presence of the avatar had positive effects on website trust and patronage intention among male participants; but had negative effects on perceptions of information credibility and website patronage intention among females. Analysis based on participants’ comments suggests that females were more critical towards certain shortcomings of the non-interactive talking avatar; citing limited interactivity and artificial dialogue from text-to-speech engine. Additionally, the comment analysis suggests that females preferred processing textual over auditory information (as spoken by the avatar) about the products in the online store. Theoretical and managerial implications related to non-interactive talking avatars are discussed in this paper.