AIMC Topic: Consumer Behavior

Clear Filters Showing 41 to 50 of 81 articles

Is Artificial Intelligence Customer Service Satisfactory? Insights Based on Microblog Data and User Interviews.

Cyberpsychology, behavior and social networking
A growing number of sectors are delivering customer services powered by artificial intelligence (AI) instead of humans, with evidence indicating labor cost reduction and efficiency improvement. However, it would be worthwhile to examine the extent to...

Impact of Factors of Online Deceptive Reviews on Customer Purchase Decision Based on Machine Learning.

Journal of healthcare engineering
Online deceptive reviews widely exist in the online shopping environment. Numerous studies have investigated the impact of online product reviews on customer behaviour and sales. However, the existing literature is mainly based on real product review...

Decompartmentalisation as a simple color manipulation of plant-based marbling meat alternatives.

Biomaterials
Recent efforts for cell-based meat cuts focus on engineering edible scaffolds, with visual cues which are key to enhancing consumer acceptance, receiving less attention Here, we employed artificial intelligence (AI)-based screening of potential plant...

Gaze and Event Tracking for Evaluation of Recommendation-Driven Purchase.

Sensors (Basel, Switzerland)
Recommendation systems play an important role in e-commerce turnover by presenting personalized recommendations. Due to the vast amount of marketing content online, users are less susceptible to these suggestions. In addition to the accuracy of a rec...

Analyzing Description, User Understanding and Expectations of AI in Mobile Health Applications.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Previous research has studied medical professionals' perception of artificial intelligence (AI). However, there has been a limited understanding of how healthcare consumers perceive and use AI-powered technologies such as mobile health apps. We colle...

Insights into mobile health application market via a content analysis of marketplace data with machine learning.

PloS one
BACKGROUND: Despite the benefits offered by an abundance of health applications promoted on app marketplaces (e.g., Google Play Store), the wide adoption of mobile health and e-health apps is yet to come.

SE-stacking: Improving user purchase behavior prediction by information fusion and ensemble learning.

PloS one
Online shopping behavior has the characteristics of rich granularity dimension and data sparsity and presents a challenging task in e-commerce. Previous studies on user behavior prediction did not seriously discuss feature selection and ensemble desi...

State-Transition Modeling of Human-Robot Interaction for Easy Crowdsourced Robot Control.

Sensors (Basel, Switzerland)
Robotic salespeople are often ignored by people due to their weak social presence, and thus have difficulty facilitating sales autonomously. However, for robots that are remotely controlled by humans, there is a need for experienced and trained opera...

Robots at work: People prefer-and forgive-service robots with perceived feelings.

The Journal of applied psychology
Organizations are increasingly relying on service robots to improve efficiency, but these robots often make mistakes, which can aggravate customers and negatively affect organizations. How can organizations mitigate the frontline impact of these robo...

Using Behavioral Analytics to Predict Customer Invoice Payment.

Big data
Experiences from various industries show that companies may have problems collecting customer invoice payments. Studies report that almost half of the small- and medium-sized enterprise and business-to-business invoices in the United States and Unite...