{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":1,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":19,"n_cols":5,"rows_kept":19,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[9,2,9,3],[10,2,10,3],[13,2,13,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNISA996464544103316"]
[null,null,"Titolo",null,"Chatbot research and design : 5th international workshop, conversations 2021, virtual event, November 23-24, 2021, revised selected papers / / edited by Asbjø Følstad, [and six others]"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-030-94890-0"]
[null,null,"Descrizione fisica",null,"1 online resource (217 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science ; ; v.13171"]
[null,null,"Disciplina",null,"005.437"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Contents -- Chatbot User Insight -- Understanding Users' Acceptance of Chatbots: An Extended TAM Approach -- 1 Introduction -- 2 Theoretical Framework and Hypotheses Development -- 2.1 TAM -- 2.2 Compatibility, Trust, and Perceived Enjoyment -- 2.3 Hypotheses -- 3 Research Method -- 3.1 Measurement Development, Procedure and Data Collection -- 4 Data Analysis and Results -- 4.1 Partial Least Square (PLS) Path Modeling -- 4.2 Measurement Model (Construct Validity) -- 4.3 Structural Model -- 4.4 Content Analysis of Consumers' Attitudes Toward the Chatbot -- 5 Discussions and Implications -- 5.1 Theoretical Implications -- 5.2 Practical Implications -- 6 Limits and Future Research -- Appendix -- References -- Expert Insights for Designing Conversational User Interfaces as Virtual Assistants and Companions for Older Adults with Cognitive Impairments -- 1 Introduction and Background -- 1.1 Related Work -- 2 Methods -- 2.1 Participants -- 2.2 Materials -- 2.3 Procedure and Analysis -- 3 Results: Pros and Cons of CUIs for Older Adults -- 3.1 CUI's Level of Expertise -- 3.2 CUI's Emotional Intelligence/Importance of Personalization -- 3.3 Most Promising CUI Features as Expressed by Experts -- 3.4 Factors of User Acceptance -- 4 Discussion and Conclusions -- References -- Understanding People's Expectations When Designing a Chatbot for Cancer Patients -- 1 Introduction -- 2 Background -- 2.1 Chatbots for Cancer Patients -- 2.2 Attribution of Human Characteristics to Chatbots -- 2.3 Participatory Design in Chatbots -- 3 Methodology -- 3.1 Participants -- 3.2 Study Design -- "]
[{"$nulls":4},"4 Results and Discussion -- 4.1 Activity 1 -- 4.2 Activity 2 -- 4.3 Activity 3 -- 5 Limitations of the Study -- 6 Conclusion and Future Work -- References."]
[{"$nulls":4},"Individualized Learning Patterns Require Individualized Conversations - Data-Driven Insights from the Field on How Chatbots Instruct Students in Solving Exercises -- 1 Introduction -- 2 Theoretical Background -- 2.1 Related Research on Educational Chatbots -- 2.2 Theoretical Foundations of Chatbot-Based Instruction -- 3 Research Design -- 3.1 Field Setting -- 3.2 Demographic Background of Study Participants -- 3.3 Chatbot Software Integrated into the Programming Course -- 3.4 Data Preprocessing and Analysis -- 4 Results -- 4.1 Aggregated Chatbot Interaction Statistics -- 4.2 Comparing Interactions by Task Difficulty -- 4.3 Identifying Different Types of User Groups -- 5 Discussion and Implications -- 6 Conclusion -- References -- Chatbots Supporting Collaboration and Social Interaction -- How Can a Chatbot Support Human Resource Management? Exploring the Operational Interplay -- 1 Introduction -- 2 Background -- 2.1 Human Resource Management -- 2.2 Chatbots for Organizational Purposes -- 2.3 An Organizational Perspective on Chatbots? -- 3 Research Questions -- 4 Method -- 4.1 Research Design -- 4.2 Participants and Recruitment -- 4.3 The HRM Chatbots -- 4.4 Interview Guide and Process -- 4.5 Analysis -- 5 Results -- 5.1 Organization's Motivations for Taking up a Chatbot for the HRM Function -- 5.2 How the Chatbot Supports the HRM Function -- 5.3 How the Chatbot Affects the HRM Function -- 5.4 The HRM Chatbot in the Wider Organizational Context -- 6 Discussion -- 6.1 The Operational Interplay Between the Chatbot and the HRM Function -- 6.2 Implications -- 6.3 Limitations and Future Work -- References -- How to Find My Task? Chatbot to Assist Newcomers in Choosing Tasks in OSS Projects -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Materials -- 3.2 Procedures -- 4 Results -- 4.1 Quantitative Analysis."]
[{"$nulls":4},"4.2 Qualitative Analysis of the Open-Questions -- 5 Discussion -- 5.1 Limitations -- 6 Conclusion -- References -- Incorporating Social Practices in Dialogue Systems -- 1 Introduction -- 2 Related Work -- 3 Extending the Dialogue Management Systems -- 3.1 Context -- 3.2 Meaning -- 3.3 Expectations -- 3.4 Activities -- 4 Exemplifying the Usage -- 4.1 An Example Scenario with Alternative Dialogues -- 4.2 Setting up the System for the Scenario -- 5 Discussion and Conclusion -- References -- Socially Aware Interactions: From Dialogue Trees to Natural Language Dialogue Systems -- 1 Introduction -- 2 Background -- 2.1 Social Context -- 2.2 Social Identity Theory and Social Practice Theory -- 2.3 Cognitive Social Frames -- 3 Related Work -- 3.1 Scripted Dialogues -- 3.2 Context-Aware Conversational Agents -- 4 Dialogue System -- 4.1 Deliberation Cycle -- 4.2 Application -- 4.3 Authoring -- 4.4 Anamnesis Scenario -- 5 Discussion -- 6 Conclusion -- References -- Chatbot UX and Design -- The Impact of Chatbot Linguistic Register on User Perceptions: A Replication Study -- 1 Introduction -- 2 Background -- 3 User Perceptions of Register: the Original Study -- 4 Data Collection -- 5 Register Characterization -- 6 Text Modification -- 7 User Perceptions Study -- 7.1 Participants -- 7.2 Analysis of the Linguistic Features -- 7.3 Discussion -- 8 Conclusions -- References -- Conversational Agent Voting Advice Applications: A Comparison Between a Structured, Semi-structured, and Non-structured Chatbot Design for Communicating with Voters About Political Issues -- 1 Introduction -- 2 Related Research -- 2.1 Effects of the Chatbot Design -- 2.2 The Users' Level of Education -- 3 Method -- 3.1 Design -- 3.2 Participants -- 3.3 Materials -- 3.4 Instrumentation and Procedure -- 4 Results -- 5 Conclusion -- 6 "]
[{"$nulls":4},"Discussion -- References."]
[{"$nulls":4},"Social Research with Gender-Neutral Voices in Chatbots - The Generation and Evaluation of Artificial Gender-Neutral Voices with Praat and Google WaveNet -- 1 Introduction -- 2 Literature Review -- 2.1 Perception and Properties of Gender-Specific Voices -- 2.2 Gender Neutrality -- 3 Method -- 3.1 Choice of Production Methods -- 3.2 Production of the Voices -- 3.3 Evaluation of the Voices -- 4 Results -- 4.1 Gender Perception -- 4.2 Naturalness and Pleasantness of the Voices -- 4.3 Confirmation of the Assessments -- 5 Discussion and Conclusion -- References -- Design Matters! How Visual Gendered Anthropomorphic Design Cues Moderate the Determinants of the Behavioral Intention Towards Using Chatbots -- 1 Introduction -- 2 Theoretical Background and Hypotheses Development -- 2.1 Chatbot Acceptance Research and Definition of the Key UTAUT Determinants -- 2.2 The Role of Gendered Anthropomorphic Chatbot Design Cues -- 3 Research Design and Data Collection -- 4 Results -- 5 Discussion -- 6 Limitations and Further Research Implications -- 7 Conclusion -- References -- Author Index."]