Tianling Xie

PhD Candidate, Instructor

University of Toledo,ISSCM department

Research Interests

Social Chatbot, Persuasive Chatbot, Artificial Intelligence (AI) Adoption, Human-AI interaction, Human-Computer Behavior Studies

Methodologies

Interview

Interview participants with grounded theory method.

Survey

Collect survey data and analyze with structural equation modeling method.

Experiment

Examine causal relationship by manipulating factors in lab or online environment.

Text Mining

Parse texual data from the internet and analyze trends and patterns using R packages.

Featured Research

Exploring relationship development with social chatbots: A mixed-method study of Replika

Iryna Pentina, Tyler Hancock, Tianling Xie

2023

Computers in Human Behavior (ABDC Rank “A”)

This mixed-method investigation proposes and empirically tests a human-Artificial Intelligence (AI) relationship development model in the context of social chatbots.Utilizing data from representative populations and employing method triangulation, the study uniquely combines existing human-computer interaction theoretical concepts (Computers are Social Actors, Perceived Social Presence, and Parasocial Interaction) with interpersonal relationship theories (Social Penetration and Attachment Theories) to advance an explanatory model of human – AI relationship development mechanism...

Friend, mentor, lover: does chatbot engagement lead to psychological dependence?

Tianling Xie, Iryna Pentina, Tyler Hancock

2023

Journal of service Management (ABDC Rank “A”)

The purpose of this study is to explore customer-artificial intelligence (AI) service technology engagement and relationship development drivers, as well as potential negative consequences in the context of social chatbots.

Consumer-machine relationships in the age of artificial intelligence: Systematic literature review and research directions

Iryna Pentina, Tianling Xie, Tyler Hancock, Ainsworth Bailey

2023

Psychology & Marketing (ABDC Rank “A”)

This systematic literature review analyzes 37 peer-reviewed empirical studies focusing on human–AI relationships published between 2018 and 2023.

Attachment theory as a framework to understand relationships with social chatbots: a case study of Replika

Tianling Xie, Iryna Pentina

2022

Proceedings of the 55th Hawaii International Conference on System Sciences

We analyzed in-depth interview transcripts obtained from 14 existing users of AI companion chatbot Replika. The emerging themes were interpreted through the lens of the attachment theory.

Teaching Interests

Business analytics, business statistics, database, website development, supply chain management, Excel applications.

Classes Taught

Business Analytics

Introduction class for regression, clustering, simulation, linear programing, etc.

Business Statistics

Statistic indices, simple linear regression, probability, normal distribution, sampling distribution, hypothesis testing.

Micro-computer Applications

Applications for Powerpoint, Word, and Excel.

Information Technology Management

SAP, advanced Excel, Microsoft Access, and Visio, for business decision making and problem solving.

Principles of Manufacturing & Service Systems

Supply chain, sales and operations planning, MRP, materials management, quality management, and project management, etc.

Technical

  • HTML
  • CSS
  • JAVASCRIPT
  • PYTHON
  • C#
  • VBA
  • SPSS
  • AMOS
  • R

Awards

  • Pacemaker Award – University of Toledo
  • Best Paper Nomination – The 55th Hawaii International Conference on System Sciences
  • Outstanding Student Research Paper – Midwest Business Administration Association 2020 Conference
  • Education

    University of Toledo- Toledo,Ohio

  • PhD - Manufacturing and Technology Management (Current)
  • Master in Accountancy
  • Zhejiang University of Finance and Economy- China

  • Bachelor's Degree in Accounting
  • Tianling Xie — tianling.xie@rockets.utoledo.edu