Table A1

Code book

CodesDisciplinesJournals
1PsychologyComputers in Human Behavior
Cyberpsychology, behaviour and social networking
Behavior Research Methods
2CommunicationCommunication Research
Communication Studies
Public Relations Review
International Journal of Communication
Business and Professional Communication Quarterly
Journal of Communication
Interactions
Speech Communication
3Language and linguisticLanguage and Linguistics Compass
Text&Talk
Journal of Pragmatics
Computer Speech and Language
4Computer and information scienceExpert Systems with Applications
Journal of Information Science and Engineering
Future Generation Computer Systems
Library Hi Tech
Library Hi Tech News
Knowledge-Based Systems
BT Technology Journal
International Journal of Human–Computer Studies
Artificial Intelligence Review
Communication of the ACM
Ethics and Information Technology
The Knowledge Engineering Review
International Journal of Speech Technology
Neurocomputing
Computers and Graphics
Computers in Industry
Government Information Quarterly
International Journal of Medical Informatics
5Business, marketing and managementJournal on Service Management
Studia Universitatis “Vasile Goldis” Arad. Economics Series
Education and Management Engineering
Journal of Business Research
International Journal of Bank Marketing
Management
6PhilosophyPhilosophical Investigations
CodesTopicsDescriptors
1Testing chatbot language and conversation skillsArticles that are about testing chatbot's own conversation skills
2Developing chatbotsArticles about development, new skills and usage possibilities of chatbots and also future aspects
3Troubleshooting chatbotsArticles about troubleshooting chatbots and chatbot usage in problem-solving and, e.g., vandalism online
4Chatbots as learning toolsArticles about how chatbots are used by people in language learning (chatbot as a practice tool, learning and assessment tool)
5How chatbots affect and are used in organizationsArticles about how chatbots are useful and used in organizations, how chatbots are effecting on user engagement, communication quality, customer satisfaction and value creation
CodesDefinition of chatbot
1Yes 
2No 
CodesImplicit or explicit definition
1Implicit 
2Explicit 
0n/a 
CodesTerminology use
1Chatbot or chat bot or chatter bot 
2Conversational bot 
3Robot 
4Agent 
5Virtual assistant 
CodesTerminology used for human–machine exchanges
1Dialogue 
2Conversation 
3Interaction 
4Discussion 
5Discourse 
6Relationship 
CodesConceptual foundationsTheories by code
1Psychology10 = Interpersonal theory
11 = Theory of planned behaviour
12 = Theory of sensorimotor intelligence (Piaget)
13 = Theory of infant cognitive development (Leslie Cohen)
2Linguistic20 = Speech-act theory
21 = Discourse theory
22 = Rhetorical structure theory
23 = Latent semantic analysis theory (LSA)
24 = Segmented discourse representation theory
3Communication30 = Conversation theory
31 = Interpersonal deception theory
4Mass Communication40 = The common ground theory
5Computer mediated communication50 = Media equation theory
51 = Social information processing theory
52 = Expectance violation theory
53 = Information theory
54 = Media Richness theory
6Organization60 = Theory of relational coordination
7Philosophy70 = Theory of intentionality
71 = Computational theory of mind
8Sociology80 = Actor-network theory
81 = Role theory
82 = Innovation diffusion theory
9Information technology90 = An unified theory of technology acceptance
91 = Heretical theory (Intelligent machinery, Alan Turing)
10Computer scienceTechnical papers without actual theories that are about human–robot/human–chatbot interaction. E.g., Computers are Social Actors (CASA), Uncanny valley
11EngineeringTechnical papers about developing, engineering, programming and coding Chatbots, AI devices and programmes (no actual theories mentioned) (e.g., Node-RED, SS-BED)
CodesMetricsDescriptions
1Amount of words, messages and charactersAmount of words or messages, shorthand or emoticons
2Tone of conversation/interaction with the chatbotIn article has been accounted different tones of conversation. (e.g. polite, sincerity, profanity, message supportiveness and effectiveness, friendliness)
3Perceived feelings (conversation with the chatbot)In article has studied perceived feeling after having a conversation with the chatbot (e.g. eeriness, feeling supported, likeability, attitudes, spine-tingling perception, sadness)
4Grammatical structuresDialogue metrics are grammatical structures (e.g. vocabulary range, spelling, nouns, verbs, typos)
5Chatbots interaction skillsArticle has studied different factors about interaction (e.g. agreement, accuracy, follow-up questions, conversation turns, cooperation of speakers, correction rate, response satisfaction, conversation ability and skills, used words and themes, sentences and phrases)
6Conversation styleArticle has been studied conversation styles, like speed, habits, special features (quick, slow, mean answers)
CodesMethodology
1Qualitative 
2Quantitative 
3Mixed methods 
CodesPerspectivesDescriptions
1CommunicationArticle has communication perspective (e.g. about human–chatbot interaction and cognitive interaction skills)
2MarketingArticle has marketing perspective (e.g. about customer service chatbots and consumer responses to chatbots
3PsychologicalArticle has psychological perspective (e.g. humane attitude, emotions and feelings in interaction with chatbots)
4Machine languageArticles perspective is about machine language and it's development (e.g. how chatbots functions or interaction skills are developed)
5EthicalArticle discusses ethical issues as result of chatbots' usage
6OrganizationalArticle deals with chatbot contributions to meeting organizational goals
7ManagerialArticle discusses how managers deal with chatbots, their perspective on potential uses
8StakeholdersArticle focuses on how chatbots and their usage affect stakeholders and organization-–stakeholder relationship
CodesImplicationsDescriptions
0n/aNo clear implications is offered
1Research is improving a chatbot as a toolResearch has developed and improved chatbot and discovered new ways to use chatbot. Models are compared or systems and models are improved in the research. Especially development and opportunities of AI is important in improving chatbots
2Chatbots effects on stakeholder interaction, responses and engagementChatbot's conversation skills affect to user engagement satisfaction, and users engage with chatbots as with other humans. Developing natural interaction and language are important goals
3Present and future impact of chatbot on an organizations' communicationsChatbots affect organization's communication but chatbot's potential are still underutilized and chatbot's role is not yet very well known in organizations
4Chatbots language learning and sentence constructionChatbots can effect positively on language learning by increasing interest and affecting linguistic accuracy. Chatbot's sentence construction also affects perceived humanness
5Psychological affections and emotions in chatbot usersUsers have reacted when chatbot have expressed sympathy or noticed that chatbot or system can actually talk
6Critical reflections on chatbot developmentImplications are about abilities and inabilities of AI and chatbots. AI has developed Chatbot's features
CodesEthical discussion
1Yes 
2No 

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