1. A method of determining consumer adoption of AI-powered services through user surveys, comprising the steps of: conducting a survey of a sample of consumers to gather information about their usage and perception of AI-powered services; analysing the survey results to identify patterns and trends in consumer adoption and usage of AI-powered services; and generating a report based on the analysis of the survey results, wherein the report includes insights into consumer adoption and usage of AI-powered services.

2. The method of claim 1, further comprising the step of using the report to inform the development and marketing of AI-powered services.

3. The method of claim 1, wherein the survey includes questions about the consumers' level of trust in AI-powered services, their preferences for using AI-powered services, and their willingness to pay for such services.

4. The method of claim 1, wherein the sample of consumers is selected to be representative of the target market for AI-powered services.

5. The method of claim 1, wherein the survey is conducted online using a survey platform.

6. The method of claim 1, further comprising the step of conducting follow-up surveys to track changes in consumer adoption and usage of AI-powered services over time.

7. A system for determining consumer adoption of AI-powered services through user surveys, comprising: a data collection module for conducting a survey of a sample of consumers to gather information about their usage and perception of AI-powered services; an analysis module for analysing the survey results to identify patterns and trends in consumer adoption and usage of AI-powered services; and a reporting module for generating a report based on the analysis of the survey results, wherein the report includes insights into consumer adoption and usage of AI-powered services.

8. The system of claim 7, wherein the sample of consumers is selected to be representative of the target market for AI-powered services.

9. The system of claim 7, wherein the survey is conducted online using a survey platform.

10. The system of claim 7, further comprising the step of conducting follow-up surveys to track changes in consumer adoption and usage of AI-powered services over time. Consumer acceptance of AI Enabled Services in retail banking Abstract A system for determining consumer adoption of AI-powered services utilizes user surveys to gain insights into consumer behavior and preferences. The system comprises a data collection module for conducting surveys among a sample of consumers, gathering information about their usage and perception of AI-powered services. An analysis module processes the survey results to identify patterns and trends in consumer adoption and usage of AI-powered services. A reporting module generates a report based on the analysis, providing insights into consumer adoption and usage of AI-powered services. This system enables stakeholders to better understand consumer behavior and preferences, allowing for the development and marketing of AI-powered services that meet the needs and expectations of consumers, ultimately driving increased adoption of AI-powered services across various industries. , Claims:Claims :

1. A method of determining consumer adoption of AI-powered services through user surveys, comprising the steps of: conducting a survey of a sample of consumers to gather information about their usage and perception of AI-powered services; analysing the survey results to identify patterns and trends in consumer adoption and usage of AI-powered services; and generating a report based on the analysis of the survey results, wherein the report includes insights into consumer adoption and usage of AI-powered services.

2. The method of claim 1, further comprising the step of using the report to inform the development and marketing of AI-powered services.

3. The method of claim 1, wherein the survey includes questions about the consumers' level of trust in AI-powered services, their preferences for using AI-powered services, and their willingness to pay for such services.

4. The method of claim 1, wherein the sample of consumers is selected to be representative of the target market for AI-powered services.

5. The method of claim 1, wherein the survey is conducted online using a survey platform.

6. The method of claim 1, further comprising the step of conducting follow-up surveys to track changes in consumer adoption and usage of AI-powered services over time.

7. A system for determining consumer adoption of AI-powered services through user surveys, comprising: a data collection module for conducting a survey of a sample of consumers to gather information about their usage and perception of AI-powered services; an analysis module for analysing the survey results to identify patterns and trends in consumer adoption and usage of AI-powered services; and a reporting module for generating a report based on the analysis of the survey results, wherein the report includes insights into consumer adoption and usage of AI-powered services.

8. The system of claim 7, wherein the sample of consumers is selected to be representative of the target market for AI-powered services.

9. The system of claim 7, wherein the survey is conducted online using a survey platform.

10. The system of claim 7, further comprising the step of conducting follow-up surveys to track changes in consumer adoption and usage of AI-powered services over time.

Description:Consumer acceptance of AI Enabled Services in retail banking
Field of the Invention
[0001] The present invention relates generally to the field of market research, and more specifically to a method and system for determining consumer adoption of artificial intelligence (AI)-powered services by leveraging user surveys to gather insights and measure consumer attitudes, preferences, and behavioral intentions towards AI-powered services. The invention provides a systematic approach to collect, analyze, and interpret survey data from users, enabling the assessment of consumer adoption and the identification of potential barriers, opportunities, and strategies for enhancing the acceptance and use of AI-powered services in various industries and markets.

Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] In recent years, artificial intelligence (AI) has made significant advancements, leading to the development and deployment of AI-powered services across various industries, including healthcare, finance, retail, and transportation. These AI-powered services have the potential to revolutionize the way businesses operate and provide value to consumers by offering enhanced efficiency, accuracy, personalization, and convenience. However, despite the increasing availability and sophistication of AI-powered services, consumer adoption has not been uniform, with some consumers embracing AI-powered services wholeheartedly while others remain skeptical or unaware of their potential benefits.
[0004] Understanding the factors that drive consumer adoption of AI-powered services is crucial for businesses, policymakers, and researchers alike, as this understanding can inform the development of strategies and interventions aimed at increasing consumer acceptance and use of these services. One of the most effective methods for gauging consumer adoption of AI-powered services is through user surveys, which can provide valuable insights into consumer attitudes, preferences, and behavioral intentions. However, the design, administration, and analysis of user surveys for this purpose can be complex and require a systematic approach to ensure the accuracy and reliability of the resulting insights.
[0005] A key challenge in determining consumer adoption of AI-powered services is the diverse range of services and use cases, each of which may have unique barriers and drivers of adoption. For instance, consumers may be more willing to adopt AI-powered services in certain domains, such as entertainment or shopping, but may have concerns about privacy, security, or trust when it comes to AI-powered services in healthcare or finance. Moreover, demographic factors, such as age, education, and cultural background, can also influence consumer adoption and perception of AI-powered services.
[0006] Another challenge lies in the rapidly evolving nature of AI technology and the services it powers. As new AI-powered services emerge and existing services improve, consumer expectations and preferences may change over time, necessitating continuous monitoring and updating of survey instruments and analysis methodologies to capture these evolving trends.
[0007] Furthermore, the design and administration of user surveys for determining consumer adoption of AI-powered services must take into account the potential biases and limitations associated with self-report data, including social desirability bias, recall bias, and respondent fatigue. Ensuring that survey instruments are carefully crafted, validated, and administered can help mitigate these biases and enhance the reliability of the resulting insights.
[0008] In light of these challenges and opportunities, there is a need for a comprehensive and systematic method and system for determining consumer adoption of AI-powered services through user surveys. The present invention addresses this need by providing a robust and adaptable approach to designing, administering, and analyzing user surveys to gather insights into consumer attitudes, preferences, and behavioral intentions towards AI-powered services, enabling the identification of potential barriers, opportunities, and strategies for enhancing consumer acceptance and use of these services across various industries and markets.
[0009] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
Summary
[00010] Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
[00011] The present invention relates generally to the field of market research, and more specifically to a method and system for determining consumer adoption of artificial intelligence (AI)-powered services by leveraging user surveys to gather insights and measure consumer attitudes, preferences, and behavioral intentions towards AI-powered services. The invention provides a systematic approach to collect, analyze, and interpret survey data from users, enabling the assessment of consumer adoption and the identification of potential barriers, opportunities, and strategies for enhancing the acceptance and use of AI-powered services in various industries and markets.
[00012] The disclosed method provides a comprehensive approach for determining consumer adoption of AI-powered services using user surveys. The process begins by conducting a survey of a representative sample of consumers to gather information about their usage, perception, and preferences regarding AI-powered services. These surveys may be conducted online using a survey platform and include questions related to the consumers' level of trust, preferences for utilizing AI-powered services, and their willingness to pay for such services.
[00013] The next step involves analysing the survey results to identify patterns and trends in consumer adoption and usage of AI-powered services. This analysis may reveal insights into factors that influence consumer behaviour, such as the perceived benefits, concerns, or barriers to adopting AI-powered services. By understanding these factors, businesses can better tailor their offerings and marketing strategies to meet the needs and preferences of their target market.
[00014] Following the analysis, a report is generated based on the survey results, providing insights into consumer adoption and usage of AI-powered services. This report can be utilized by stakeholders to inform the development and marketing of AI-powered services, ensuring that they align with consumer expectations and preferences. The report may also help identify potential areas for improvement or opportunities for growth within the AI-powered services market.
[00015] In addition to the initial survey, the method may involve conducting follow-up surveys to track changes in consumer adoption and usage of AI-powered services over time. This ongoing monitoring allows businesses to stay up-to-date with evolving consumer trends and preferences, ensuring that their AI-powered services remain relevant and competitive in the market.
[00016] By employing this method, businesses can gain a deeper understanding of their target market and make data-driven decisions to optimize their AI-powered services. The insights gained from these surveys can be invaluable for informing product development, marketing strategies, and overall business growth. Furthermore, the method helps businesses address any potential barriers to adoption, fostering trust and acceptance of AI-powered services among consumers.
[00017] In summary, this method of determining consumer adoption of AI-powered services through user surveys offers a robust approach for understanding consumer behaviour and preferences. By conducting surveys, analysing the results, and generating actionable insights, businesses can develop and market AI-powered services that meet consumer needs and expectations, ultimately driving increased adoption of these services across various industries. The method's adaptability and the ability to conduct follow-up surveys also ensure that businesses can keep pace with the ever-changing landscape of consumer preferences in the AI-powered services market.
[00018] The described system offers an innovative approach to determining consumer adoption of AI-powered services by utilizing user surveys. This system consists of three main components: a data collection module, an analysis module, and a reporting module, each playing a crucial role in generating valuable insights into consumer behavior and preferences.
[00019] The data collection module is responsible for conducting surveys among a sample of consumers, gathering information about their usage and perception of AI-powered services. By selecting a representative sample of the target market, the system ensures that the insights obtained accurately reflect the preferences and concerns of the broader consumer base. The survey may be conducted online and include questions related to consumers' level of trust, preferences for utilizing AI-powered services, and their willingness to pay for such services.
[00020] Once the survey data has been collected, the analysis module processes the results to identify patterns and trends in consumer adoption and usage of AI-powered services. This analysis provides a comprehensive understanding of the factors influencing consumer behavior, such as perceived benefits, concerns, or barriers to adopting AI-powered services. By recognizing these factors, businesses can tailor their offerings and marketing strategies to meet the needs and preferences of their target market more effectively.
[00021] The reporting module generates a report based on the analysis of the survey results, providing insights into consumer adoption and usage of AI-powered services. This report enables stakeholders to make data-driven decisions regarding the development and marketing of their AI-powered services, ensuring alignment with consumer expectations and preferences. The report may also help identify potential areas for improvement or opportunities for growth within the AI-powered services market.
[00022] The system's modular design allows for adaptability and scalability, making it suitable for businesses across various industries. Additionally, by conducting follow-up surveys, businesses can track changes in consumer adoption and usage of AI-powered services over time. This ongoing monitoring ensures that businesses remain up-to-date with evolving consumer trends and preferences, enabling them to maintain relevance and competitiveness in the market.
[00023] In summary, the system for determining consumer adoption of AI-powered services through user surveys provides a comprehensive and adaptable approach to understanding consumer behaviour and preferences. By combining data collection, analysis, and reporting, the system enables businesses to develop and market AI-powered services that meet consumer needs and expectations, driving increased adoption across various industries. The system's ability to conduct follow-up surveys ensures that businesses can stay ahead of the ever-changing landscape of consumer preferences in the AI-powered services market, promoting long-term success and growth.
Brief Description of the Drawings
[00024] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00025] FIG. 1 represents an exemplary method representation of consumer acceptance of ai enabled services, according to some embodiments of the present disclosure.
[00026] FIG. 2 is a system for consumer acceptance of AI enabled services, according to some embodiments of the present disclosure.

Detailed Description
[00027] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00028] In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
[00029] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items.
[00030] Pursuant to the "Detailed Description" section herein, whenever an element is explicitly associated with a specific numeral for the first time, such association shall be deemed consistent and applicable throughout the entirety of the "Detailed Description" section, unless otherwise expressly stated or contradicted by the context.
[00031] The present invention relates generally to the field of market research, and more specifically to a method and system for determining consumer adoption of artificial intelligence (AI)-powered services by leveraging user surveys to gather insights and measure consumer attitudes, preferences, and behavioral intentions towards AI-powered services. The invention provides a systematic approach to collect, analyze, and interpret survey data from users, enabling the assessment of consumer adoption and the identification of potential barriers, opportunities, and strategies for enhancing the acceptance and use of AI-powered services in various industries and markets.
[00032] The present invention provides a method and system for determining consumer adoption of AI-powered services through user surveys, analysing the collected data to identify patterns and trends in consumer adoption, and generating a report that includes insights into consumer adoption and usage of AI-powered services. The following embodiments describe various aspects of the invention, including the survey design, administration, analysis, and reporting, as well as the use of the generated insights to inform the development and marketing of AI-powered services.
[00033] FIG 1. illustrates about a flow diagram of the method 100 comprising steps of (at step 102) conducting a survey of a sample of consumers to gather information about their usage and perception of AI-powered services; (at step 104) analysing the survey results to identify patterns and trends in consumer adoption and usage of AI-powered services; and (at step 106) generating a report based on the analysis of the survey results, wherein the report includes insights into consumer adoption and usage of AI-powered services.
[00034] In one embodiment of the invention, a survey is designed to gather information about consumers' usage and perception of AI-powered services. The survey may include questions about consumers' level of trust in AI-powered services, their preferences for using such services, their willingness to pay for these services, and any perceived barriers or concerns regarding the adoption and usage of AI-powered services. The survey may also include demographic questions to capture information about the respondents' age, gender, education, and other relevant characteristics, allowing for a deeper understanding of how these factors may influence consumer adoption and usage patterns.
[00035] Referring to the preceding embodiment, sample of consumers for the survey is selected to be representative of the target market for AI-powered services, ensuring that the survey results accurately reflect the population of interest. This may be achieved through various sampling techniques, such as random sampling, stratified sampling, or quota sampling, depending on the specific goals of the research and the characteristics of the target market.
[00036] Referring to the preceding embodiment, survey may be conducted online using a survey platform, such as SurveyMonkey or Qualtrics, which allows for efficient administration and data collection. Online survey platforms enable the customization of the survey design, including question types (e.g., multiple-choice, Likert scale, open-ended), skip logic, and branching, to ensure a smooth and user-friendly experience for respondents. Additionally, online survey platforms can facilitate the recruitment of respondents through various channels, such as email invitations, social media advertising, or panel providers, and can provide automated reminders and incentives to encourage survey completion.
[00037] Once the survey data is collected, the results are analysed to identify patterns and trends in consumer adoption and usage of AI-powered services. This may involve descriptive statistics, such as frequencies, means, and standard deviations, to summarize the overall trends in the data. More advanced statistical techniques, such as regression analysis, cluster analysis, or factor analysis, may also be employed to explore the relationships between different variables, identify underlying factors driving consumer adoption, or segment consumers based on their attitudes and behaviours.
[00038] In yet another embodiment, in addition to quantitative analysis, qualitative analysis of open-ended survey responses may be conducted to gain deeper insights into consumers' experiences, perceptions, and concerns related to AI-powered services. This may involve coding the responses into categories or themes, followed by an interpretation of the findings to identify common patterns and areas of interest.
[00039] Based on the analysis of the survey results, a report is generated that includes insights into consumer adoption and usage of AI-powered services. The report may present an overview of the key findings, such as the level of consumer awareness and familiarity with AI-powered services, the factors influencing trust and adoption, and the specific preferences or concerns that may affect consumer behaviour. The report may also include visualizations, such as charts or graphs, to effectively communicate the findings to stakeholders. The insights derived from the report can be used to inform the development and marketing of AI-powered services, by identifying opportunities for improvement, addressing potential barriers, and tailoring marketing messages to resonate with consumers' needs and preferences.
[00040] To track changes in consumer adoption and usage of AI-powered services over time, follow-up surveys may be conducted at regular intervals, such as annually or biannually. These follow-up surveys may utilize the same survey instrument as the initial survey or may incorporate modifications to reflect any changes in the AI-powered services landscape or consumer preferences. By comparing the results of the follow-up surveys with the initial survey, researchers can assess the progress of consumer adoption, identify emerging trends, and evaluate the impact of any interventions or marketing efforts aimed at promoting AI-powered services.
[00041] Longitudinal analysis of the survey data can provide valuable insights into the dynamics of consumer adoption and the factors that drive changes in consumer behaviour over time. This may involve the use of statistical techniques such as growth curve modelling, time series analysis, or panel data analysis to explore the relationships between variables and identify any patterns or predictors of change in consumer adoption and usage of AI-powered services.
[00042] In yet another embodiment, the method and system described in the present invention can be customized to focus on specific AI-powered services or industries, depending on the research objectives and target market. For instance, the survey instrument may be tailored to capture information about consumers' experiences and perceptions of AI-powered healthcare services, such as telemedicine, virtual health assistants, or AI-powered diagnostic tools. Similarly, the survey may focus on AI-powered services in the financial sector, such as robo-advisors, AI-driven credit scoring, or fraud detection systems.
[00043] By customizing the survey and analysis for specific AI-powered services or industries, researchers can gain more nuanced insights into the factors that drive consumer adoption in these contexts and develop targeted strategies for promoting the acceptance and use of these services.
[00044] In yet another embodiment, in addition to survey data, the method and system described in the present invention may also incorporate other sources of data to provide a more comprehensive understanding of consumer adoption and usage of AI-powered services. This may include data from social media platforms, online reviews, or usage data from AI-powered service providers, which can be analysed using techniques such as sentiment analysis, text mining, or machine learning algorithms to identify trends, patterns, or correlations with the survey findings. By integrating multiple sources of data, researchers can obtain a richer and more complete picture of consumer adoption and usage of AI-powered services, enabling them to develop more effective strategies for promoting these services and addressing potential barriers to adoption.
[00045] Thus, the present invention provides a method and system for determining consumer adoption of AI-powered services through user surveys, analysing the collected data to identify patterns and trends in consumer adoption, and generating a report that includes insights into consumer adoption and usage of AI-powered services. The insights derived from this method and system can be used to inform the development and marketing of AI-powered services, track changes in consumer adoption over time, and tailor strategies to specific AI-powered services or industries, ultimately enhancing the acceptance and use of these services across various markets.
[00046] FIG. 2. depicts an architectural paradigm of system 200 for determining consumer adoption of AI-powered services through user surveys. This system is designed to gather information about consumers' usage and perception of AI-powered services, analyse the collected data to identify patterns and trends in consumer adoption, and generate a report that includes insights into consumer adoption and usage of AI-powered services. The following embodiments describe various components and aspects of the invention, including the data collection module 202, analysis module 204, and reporting module 206, as well as their interaction and integration within the system.
[00047] In one embodiment of the invention, the system includes a data collection module for conducting a survey of a sample of consumers to gather information about their usage and perception of AI-powered services. The data collection module may be implemented as a web-based application or a mobile application, allowing consumers to access and complete the survey using their preferred device, such as a computer, tablet, or smartphone.
[00048] The data collection module may include an interface for designing the survey, allowing researchers to create and customize the survey questions, response options, and other survey elements. This interface may support various question types, such as multiple-choice, Likert scale, open-ended, and matrix questions, as well as advanced features like skip logic, branching, and piping.
[00049] The data collection module may provide tools and features for selecting a representative sample of consumers and recruiting them to participate in the survey. This may include integration with panel providers, social media advertising, or email invitation systems, as well as features for managing participant lists, sending reminders, and monitoring response rates.
[00050] The data collection module may include features for collecting and managing the survey data, such as data validation checks, progress tracking, and data export capabilities. The data collected through the survey may be stored in a secure database or data storage system, ensuring the confidentiality and integrity of the data.
[00051] In another embodiment of the invention, the system includes an analysis module for analysing the survey results to identify patterns and trends in consumer adoption and usage of AI-powered services. The analysis module may be implemented as a software application or a cloud-based service, allowing researchers to access and analyse the survey data using a variety of statistical techniques and data visualization tools.
[00052] The analysis module may provide tools for calculating and displaying descriptive statistics, such as frequencies, means, standard deviations, and cross-tabulations, to summarize the overall trends in the survey data. The analysis module may support a range of inferential statistical techniques, such as regression analysis, cluster analysis, factor analysis, or hypothesis testing, to explore relationships between variables, identify underlying factors driving consumer adoption, or test specific hypotheses about consumer behaviour.
[00053] The analysis module may include features for conducting qualitative analysis of open-ended survey responses, such as text mining, sentiment analysis, or thematic coding, to gain deeper insights into consumers' experiences, perceptions, and concerns related to AI-powered services. The analysis module may provide a variety of data visualization tools, such as charts, graphs, and heatmaps, to effectively communicate the findings of the analysis and facilitate interpretation of the results.
[00054] In yet another embodiment of the invention, the system includes a reporting module for generating a report based on the analysis of the survey results, wherein the report includes insights into consumer adoption and usage of AI-powered services. The reporting module may be implemented as a software application, a cloud-based service, or an integrated feature within the analysis module, allowing researchers to create and customize the report according to their specific needs and objectives.
[00055] The reporting module may include various features and functionalities. For example, the reporting module may provide a selection of report templates, designed to present the findings of the survey analysis in a clear, concise, and visually appealing format. Researchers may choose from a variety of templates, such as executive summaries, detailed reports, or interactive dashboards, depending on the intended audience and purpose of the report. The reporting module may include tools for customizing and editing the report, such as adding or modifying text, images, and data visualizations, as well as adjusting the layout, formatting, and styling of the report. This allows researchers to tailor the report to their specific needs and preferences, ensuring that the insights and findings are effectively communicated to stakeholders.
[00056] The reporting module may provide options for exporting the report in various formats, such as PDF, Word, PowerPoint, or HTML, to facilitate distribution and sharing of the report with stakeholders. Additionally, the reporting module may include features for sharing the report directly with stakeholders via email, social media, or a web-based platform, ensuring that the insights and findings are easily accessible and actionable.
[00057] The data collection module, analysis module, and reporting module may be designed to interact and integrate seamlessly within the system, enabling a streamlined and efficient process for determining consumer adoption of AI-powered services through user surveys. The data collected through the data collection module may be automatically transferred to the analysis module for processing and analysis, reducing the need for manual data handling and minimizing the risk of data errors or loss.
[00058] The analysis module may be designed to perform real-time analysis of the survey data as it is collected, enabling researchers to monitor the progress of the survey and obtain preliminary findings and insights even before the survey is completed. Similarly, the reporting module may be capable of generating real-time reports based on the ongoing analysis, allowing researchers to share and discuss preliminary findings with stakeholders.
[00059] The system may include features for collaboration and workflow management, allowing multiple researchers or team members to work together on the survey design, analysis, and reporting tasks. This may involve tools for assigning tasks, tracking progress, sharing files, and communicating with team members, ensuring efficient coordination and collaboration throughout the project.
[00060] The system described in the present invention can be customized to focus on specific AI-powered services or industries, depending on the research objectives and target market. For instance, the survey instrument within the data collection module may be tailored to capture information about consumers' experiences and perceptions of AI-powered healthcare services, financial services, retail services, or any other specific AI-powered service domain. Similarly, the analysis module and reporting module may be adapted to incorporate industry-specific knowledge, terminology, or benchmarks, ensuring that the insights and findings are relevant and actionable for stakeholders within the specific AI-powered service domain.
[00061] In addition to survey data, the system described in the present invention may also incorporate other sources of data to provide a more comprehensive understanding of consumer adoption and usage of AI-powered services. This may include data from social media platforms, online reviews, or usage data from AI-powered service providers, which can be analysed using techniques such as sentiment analysis, text mining, or machine learning algorithms to identify trends, patterns, or correlations with the survey findings. By integrating multiple sources of data, the system can obtain a richer and more complete picture of consumer adoption and usage of AI-powered services, enabling researchers to develop more effective strategies for promoting these services and addressing potential barriers to adoption.
[00062] The system described in the present invention may be designed to support longitudinal and comparative analysis of consumer adoption and usage of AI-powered services. This may involve conducting follow-up surveys at regular intervals, such as annually or biannually, and comparing the results of these surveys with the initial survey to track changes in consumer adoption and usage over time.
[00063] By comparing the results of the follow-up surveys with the initial survey, researchers can assess the progress of consumer adoption, identify emerging trends, and evaluate the impact of any interventions or marketing efforts aimed at promoting AI-powered services. The analysis module and reporting module may be equipped with features and tools for conducting longitudinal and comparative analysis, such as growth curve modelling, time series analysis, or panel data analysis, to explore the relationships between variables and identify patterns or predictors of change in consumer adoption and usage of AI-powered services.
[00064] In addition to the traditional statistical techniques described in the earlier embodiments, the system may also incorporate advanced analytics capabilities, such as predictive analytics and machine learning algorithms, to model and forecast consumer adoption and usage of AI-powered services. The analysis module may include features for training and evaluating machine learning models, such as regression models, decision trees, or neural networks, using t

Claims
I/We Claim:
1. A method of determining consumer adoption of AI-powered services through user surveys, comprising the steps of: conducting a survey of a sample of consumers to gather information about their usage and perception of AI-powered services; analysing the survey results to identify patterns and trends in consumer adoption and usage of AI-powered services; and generating a report based on the analysis of the survey results, wherein the report includes insights into consumer adoption and usage of AI-powered services.
2. The method of claim 1, further comprising the step of using the report to inform the development and marketing of AI-powered services.
3. The method of claim 1, wherein the survey includes questions about the consumers' level of trust in AI-powered services, their preferences for using AI-powered services, and their willingness to pay for such services.
4. The method of claim 1, wherein the sample of consumers is selected to be representative of the target market for AI-powered services.
5. The method of claim 1, wherein the survey is conducted online using a survey platform.
6. The method of claim 1, further comprising the step of conducting follow-up surveys to track changes in consumer adoption and usage of AI-powered services over time.
7. A system for determining consumer adoption of AI-powered services through user surveys, comprising: a data collection module for conducting a survey of a sample of consumers to gather information about their usage and perception of AI-powered services; an analysis module for analysing the survey results to identify patterns and trends in consumer adoption and usage of AI-powered services; and a reporting module for generating a report based on the analysis of the survey results, wherein the report includes insights into consumer adoption and usage of AI-powered services.
8. The system of claim 7, wherein the sample of consumers is selected to be representative of the target market for AI-powered services.
9. The system of claim 7, wherein the survey is conducted online using a survey platform.
10. The system of claim 7, further comprising the step of conducting follow-up surveys to track changes in consumer adoption and usage of AI-powered services over time.

Consumer acceptance of AI Enabled Services in retail banking
Abstract
A system for determining consumer adoption of AI-powered services utilizes user surveys to gain insights into consumer behavior and preferences. The system comprises a data collection module for conducting surveys among a sample of consumers, gathering information about their usage and perception of AI-powered services. An analysis module processes the survey results to identify patterns and trends in consumer adoption and usage of AI-powered services. A reporting module generates a report based on the analysis, providing insights into consumer adoption and usage of AI-powered services. This system enables stakeholders to better understand consumer behavior and preferences, allowing for the development and marketing of AI-powered services that meet the needs and expectations of consumers, ultimately driving increased adoption of AI-powered services across various industries. , Claims:Claims
I/We Claim:
1. A method of determining consumer adoption of AI-powered services through user surveys, comprising the steps of: conducting a survey of a sample of consumers to gather information about their usage and perception of AI-powered services; analysing the survey results to identify patterns and trends in consumer adoption and usage of AI-powered services; and generating a report based on the analysis of the survey results, wherein the report includes insights into consumer adoption and usage of AI-powered services.
2. The method of claim 1, further comprising the step of using the report to inform the development and marketing of AI-powered services.
3. The method of claim 1, wherein the survey includes questions about the consumers' level of trust in AI-powered services, their preferences for using AI-powered services, and their willingness to pay for such services.
4. The method of claim 1, wherein the sample of consumers is selected to be representative of the target market for AI-powered services.
5. The method of claim 1, wherein the survey is conducted online using a survey platform.
6. The method of claim 1, further comprising the step of conducting follow-up surveys to track changes in consumer adoption and usage of AI-powered services over time.
7. A system for determining consumer adoption of AI-powered services through user surveys, comprising: a data collection module for conducting a survey of a sample of consumers to gather information about their usage and perception of AI-powered services; an analysis module for analysing the survey results to identify patterns and trends in consumer adoption and usage of AI-powered services; and a reporting module for generating a report based on the analysis of the survey results, wherein the report includes insights into consumer adoption and usage of AI-powered services.
8. The system of claim 7, wherein the sample of consumers is selected to be representative of the target market for AI-powered services.
9. The system of claim 7, wherein the survey is conducted online using a survey platform.
10. The system of claim 7, further comprising the step of conducting follow-up surveys to track changes in consumer adoption and usage of AI-powered services over time.