Visualizing Off-screen Targets: Effects of Response Time and Visual Cue Design on Users’ Wayfinding Performance Using a Dynamic Peephole Interface

Chen, Chien-Hsiung; Xiao, Li

doi:10.1080/10447318.2021.1876356

Cited by 5 publications

(4 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This research adds a precise understanding of these cues from the perspective of competence and warmth. In addition, while studies have found that human-like characteristics build satisfaction, trust, and social presence in chatbots (Chen et al, 2023a) to animacy and anthropomorphism (Balakrishnan & Dwivedi, 2021b) of chatbots can be reconciled by integrating results from Studies 1 and 2.…”

Section: Discussion On the Study 2 Resultsmentioning

confidence: 99%

Do chatbots establish “humanness” in the customer purchase journey? An investigation through explanatory sequential design

Dwivedi,

Balakrishnan,

Baabdullah

et al. 2023

Psychology and Marketing

View full text Add to dashboard Cite

Chatbots incorporate various behavioral and psychological marketing elements to satisfy customers at various stages of their purchase journey. This research follows the foundations of the Elaboration Likelihood Model (ELM) and examines how cognitive and peripheral cues impact experiential dimensions, leading to chatbot user recommendation intentions. The study introduced warmth and competence as mediating variables in both the purchase and postpurchase stages, utilizing a robust explanatory sequential mixed‐method research design. The researchers tested and validated the proposed conceptual model using a 3 × 3 factorial design, collecting 354 responses in the purchase stage and 286 responses in the postpurchase stage. In the second stage, they conducted in‐depth qualitative interviews (Study 2) to gain further insights into the validity of the experimental research (Study 1). The results obtained from Study 1 revealed that “cognitive cues” and “competence” significantly influence recommendation intentions among chatbot users. On the other hand, “peripheral cues” and warmth significantly contribute to positive experiences encountered during the purchase stage. The researchers further identified 69 thematic codes through exploratory research, providing a deeper understanding of the variables. Theoretically, this study extends the ELM by introducing new dimensions to human‐machine interactions at the heart of digital transformation. From a managerial standpoint, the study emphasizes the significance of adding a “humanness” element in chatbot development to create more engaging and positive customer experiences actively.

show abstract

Section: Discussion On the Study 2 Resultsmentioning

confidence: 99%

Do chatbots establish “humanness” in the customer purchase journey? An investigation through explanatory sequential design

Dwivedi,

Balakrishnan,

Baabdullah

et al. 2023

Psychology and Marketing

View full text Add to dashboard Cite

show abstract

“…Anthropomorphic visual cues, especially humanized profile pictures as human-like features in AI chatbots, could resonate more emotional bonding with the AI chatbot and amplify consumers to perceive a more positive social presence due to the illusion of interaction with the chatbot as a human-human conversation instead of a human-robot conversation. (Chen et al , 2023; Fotheringham and Wiles, 2022; Jackson and Williams, 2021). In other words, the accessibility of social triggers stemming from anthropomorphic visual cues could increase the individual perception that sociable motivation is satisfied in nonhuman entities (Epley et al , 2007).…”

Section: Theoretical Framework and Hypothesesmentioning

confidence: 99%

“…Many previous studies have used humanized profile pictures as the most common exemplar of anthropomorphic visual cues to cause a sense of humanness (Chen et al , 2023; Go and Sundar, 2019). Correspondingly, those studies identified that the use of humanized profile pictures for AI chatbots is used to enhance their human-likeness, which leads to an increase in social perceptions of AI chatbots (Chong et al , 2021; Go and Sundar, 2019).…”

Section: Theoretical Framework and Hypothesesmentioning

confidence: 99%

Business types matter: new insights into the effects of anthropomorphic cues in AI chatbots

Youn

Cho

2023

JSM

View full text Add to dashboard Cite

Purpose This paper aims to examine the relationships between anthropomorphic cues (i.e. degrees of the humanized profile picture and naming) in artificial intelligence (AI) chatbots and business types (utilitarian-centered business vs hedonic-centered business) on consumers’ attitudes toward the AI chatbot and intentions to use the AI chatbot app and to accept the AI chatbot’s recommendation. Design/methodology/approach An online experiment with a 2 (humanized profile pictures: low [semihumanoid] vs high [full-humanoid]) × 2 (naming: Mary vs virtual assistant) × 2 (business types: utilitarian-centered business [bank] vs hedonic-centered business [café]) between-subjects design (N = 520 Mturk samples) was used. Findings The results of this study show significant main effects of anthropomorphic cues (i.e. degrees of profile picture and naming) in AI chatbots and three-way interactions among humanized profile pictures, naming and business types (utilitarian-centered business vs hedonic-centered business) on consumers’ attitudes toward the AI chatbot, intentions to use the AI chatbot app and intentions to accept the AI chatbot’s recommendation. This indicates that the high level of anthropomorphism generates more positive attitudes toward the AI chatbot and intentions to use the AI chatbot app and to accept the AI chatbot’s recommendation in the hedonic-centered business condition. Moreover, the mediated role of parasocial interaction occurs in this relationship. Originality/value This study is the original endeavor to examine the moderating role of business types influencing the effect of anthropomorphism on consumers’ responses, while existing literature overweighted the value of anthropomorphism in AI chatbots without considering the variation of businesses.

show abstract

“…As shown in Figure 1 below, it is the design structure of visual and perceptual interface based on human-computer interaction. [4][5][6] Fig. 1 Visual and perceptual interface design structure based on human-computer interaction task…”

Section: Research Backgroundmentioning

confidence: 99%

Research on Visual Awareness Interface Design Based on Human-Computer Interaction Task

Jin

2021

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

By using the form and specific process of human-computer interaction to comprehensively understand and judge whether users can accurately and quickly recognize products, it has a positive effect on the current visual and perceptual interface design work. On the basis of understanding the achievements of current related scientific research projects, this paper analyzes how to construct and design a new visual and perceptual interface based on human-computer interaction tasks by studying the main factors that affect users’ cognition of visual information interface.

show abstract

Visualizing Off-screen Targets: Effects of Response Time and Visual Cue Design on Users’ Wayfinding Performance Using a Dynamic Peephole Interface

Cited by 5 publications

References 42 publications

Do chatbots establish “humanness” in the customer purchase journey? An investigation through explanatory sequential design

Do chatbots establish “humanness” in the customer purchase journey? An investigation through explanatory sequential design

Business types matter: new insights into the effects of anthropomorphic cues in AI chatbots

Research on Visual Awareness Interface Design Based on Human-Computer Interaction Task

Contact Info

Product

Resources

About