Modeling users' experiences with interactive systems:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Berlin [u.a.]
Springer
2013
|
| Series: | Studies in computational intelligence
436 |
| Subjects: | |
| Online Access: | Inhaltstext Inhaltsverzeichnis |
| Physical Description: | XII, 161 S. Ill., graph. Darst. |
| ISBN: | 3642309992 9783642309991 9783642433603 |
Staff View
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IMAGE 1
CONTENTS
1 INTRODUCTION 1
1.1 FROM USABILITY TO EXPERIENCE 2
1.2 TWO DISTINCT APPROACHES IN USER EXPERIENCE RESEARCH 3
1.2.1 REDUCTIONIST APPROACHES 4
1.2.2 HOLISTIC APPROACHES 6
1.3 DIVERSITY IN USER EXPERIENCE 8
1.3.1 A FRAMEWORK O F DIVERSITY IN SUBJECTIVE JUDGMENTS 8
1.3.2 FOUR SOURCES O F DIVERSITY IN USER EXPERIENCE 10
1.4 METHODOLOGICAL ISSUES IN ACCOUNTING FOR DIVERSITY 11
1.4.1 UNDERSTANDING INTERPERSONAL DIVERSITY THROUGH PERSONAL ATTRIBUTE
JUDGMENTS 13
1.4.2 UNDERSTANDING THE DYNAMICS O F EXPERIENCE THROUGH EXPERIENCE
NARRATIVES 14
1.5 MANUSCRIPT OUTLINE 15
2 PERSONAL ATTRIBUTE JUDGMENTS 17
2.1 INTRODUCTION 17
2.2 THE REPERTORY GRID TECHNIQUE 2 0
2.3 THE QUANTITATIVE SIDE O F REPERTORY GRID - SOME CONCERNS 21
2.3.1 ARE WE REALLY INTERESTED IN IDIOSYNCRATIC VIEWS? 21
2.3.2 ON BIPOLARITY 22
2.3.3 ON THE MEASUREMENT O F MEANING 25
2.4 ANALYZING PERSONAL ATTRIBUTE JUDGMENTS - AN INITIAL EXPLORATION 25
2.5 THE STUDY 27
2.5.1 METHOD 27
2.6 ANALYSIS PROCEDURE 29
2.6.1 IDENTIFYING HOMOGENEOUS USER GROUPS IN THE USER SEGMENTATION MAP
29
2.6.2 CLASSIFYING ATTRIBUTES FOR INTERPERSONAL ANALYSIS 29
HTTP://D-NB.INFO/1022401777
IMAGE 2
X
CONTENTS
2.6.3 CHARTING PERCEPTUAL MAPS FOR HOMOGENEOUS GROUPS OF
USERS 31
2.7 DISCUSSION 35
2.8 CONCLUSION 38
3 ANALYZING PERSONAL ATTRIBUTE JUDGMENTS 41
3.1 INTRODUCTION 41
3.2 THE STUDY 42
3.3 A MULTI-DIMENSIONAL SCALING APPROACH TO ACCOUNT FOR DIVERSITY 4 2
3.3.1 IDENTIFYING THE DIFFERENT VIEWS 44
3.3.2 DEFINING GOODNESS-OF-FIT CRITERIA 4 4
3.3.3 TWO DIVERSE VIEWS FOR ONE PARTICIPANT 4 5
3.3.4 ASSESSING THE SIMILARITY BETWEEN DIFFERENT VIEWS 48
3.3.5 GROUPING THE HOMOGENEOUS VIEWS 4 9
3.3.6 HOW DO THE DIVERSE VIEWS COMPARE TO THE AVERAGE VIEW? 5 0
3.4 DISCUSSION 53
3.5 CONCLUSION 5 6
4 USER EXPERIENCE OVER TIME 57
4.1 INTRODUCTION 57
4.2 BACKGROUND ON EXPERIENCE AND TEMPORALITY 58
4.2.1 TEMPORAL ASPECTS IN FRAMEWORKS O F EXPERIENCE 59
4.2.2 BEAUTY, GOODNESS AND TIME 59
4.3 STUDY 1 6 0
4.3.1 METHOD 6 0
4.3.2 RESULTS 61
4.3.3 DISCUSSION 64
4.3.4 LIMITATIONS O F THE STUDY 65
4.4 STUDY 2 66
4.4.1 THE STUDY 67
4.4.2 DATA ANALYSIS 69
4.4.3 FINDINGS 7 0
4.4.4 DISCUSSION 78
4.4.5 IMPLICATIONS FOR DESIGN 79
4.5 DISCUSSION 81
4.6 CONCLUSION 82
5 ISCALE: STUDYING LONG-TERM EXPERIENCES THROUGH MEMORY 85
5.1 INTRODUCTION 85
5.2 RECONSTRUCTING EXPERIENCES FROM MEMORY 89
5.2.1 THE CONSTRUCTIVE APPROACH 89
5.2.2 THE VALUE-ACCOUNT APPROACH 9 0
IMAGE 3
CONTENTS
XI
5.2.3 GRAPHING AFFECT AS A WAY TO SUPPORT THE RECONSTRUCTION O F
EXPERIENCES 91
5.2.4 ISCALE 91
5.3 STUDY 1: UNDERSTANDING GRAPHING AS A TOOL FOR THE RECONSTRUCTION O F
EXPERIENCES 94
5.3.1 METHOD 94
5.3.2 ANALYSIS AND RESULTS 96
5.3.3 DISCUSSION 101
5.4 STUDY 2: BENEFITS AND DRAWBACKS O F THE CONSTRUCTIVE AND THE
VALUE-ACCOUNT VERSION O F ISCALE 102
5.4.1 METHOD 102
5.4.2 ANALYSIS AND RESULTS 105
5.4.3 DISCUSSION 108
5.5 CONCLUSION AND FUTURE WORK 110
5.6 APPENDIX - TEMPORAL TRANSFORMATION 113
6 A SEMI-AUTOMATED APPROACH TO THE CONTENT ANALYSIS OF EXPERIENCE
NARRATIVES 115
6.1 INTRODUCTION 115
6.2 AUTOMATED APPROACHES TO SEMANTIC CLASSIFICATION 117
6.2.1 THE LATENT-SEMANTIC ANALYSIS PROCEDURE 117
6.2.2 LIMITATIONS O F LATENT-SEMANTIC ANALYSIS IN THE CONTEXT OF
QUALITATIVE CONTENT ANALYSIS 119
6.3 A SEMI-AUTOMATED APPROACH TO CONTENT ANALYSIS 120
6.3.1 INCORPORATING EXISTING DOMAIN-SPECIFIC KNOWLEDGE 120 6.3.2
ITERATIVE OPEN CODING 121
6.3.3 COMPUTING NARRATIVE SIMILARITY 126
6.3.4 HIERARCHICAL CLUSTERING 127
6.3.5 VISUALIZING INSIGHTS 127
6.4 VALIDATION O F THE PROPOSED APPROACH 129
6.4.1 PREPARING THE DATASET 129
6.4.2 CONCEPT ANALYSIS 130
6.4.3 LATENT-SEMANTIC ANALYSIS ON RESTRICTED TERMS 131
6.4.4 TRADITIONAL LATENT-SEMANTIC ANALYSIS 132
6.4.5 CLUSTER ANALYSIS ON DISSIMILARITY MATRICES 132
6.5 DISCUSSION 134
6.6 CONCLUSION 136
7 CONCLUSIONS 137
7.1 CONTRIBUTIONS O F THIS WORK 137
7.1.1 CONCEPTUALIZING DIVERSITY IN USER EXPERIENCE 138
7.1.2 ESTABLISHING EMPIRICAL EVIDENCE FOR THE PREVALENCE OF DIVERSITY IN
USER EXPERIENCE 138
7.1.3 PROPOSING METHODOLOGICAL TOOLS FOR THE STUDY OF DIVERSITY 139
IMAGE 4
XII CONTENTS
7.2 IMPLICATIONS FOR THE PRODUCT CREATION PROCESS 142
7.2.1 INTEGRATING SUBJECTIVE AND BEHAVIORAL DATA 142
7.2.2 THE END O F SPECIFICATIONS? 144
7.3 AVENUES FOR FUTURE RESEARCH 144
7.3.1 LEVERAGING INSIGHTS ACROSS DIFFERENT EXPLORATORY STUDIES 144
7.3.2 COMPUTATIONAL TOOLS FOR MAKING SURVEY RESEARCH SCALABLE 145
7.3.3 EMPIRICAL KNOWLEDGE BASES FOR FORMING DESIGN GOALS . . . 146 7.3.4
A NEW BASIS FOR USER INSIGHTS? 146
REFERENCES 151 |
| any_adam_object | 1 |
| author | Karapanos, Evangelos |
| author_facet | Karapanos, Evangelos |
| author_role | aut |
| author_sort | Karapanos, Evangelos |
| author_variant | e k ek |
| building | Verbundindex |
| bvnumber | BV040497013 |
| classification_rvk | ST 278 ST 300 |
| ctrlnum | (OCoLC)814441662 (DE-599)DNB1022401777 |
| dewey-full | 004.019 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004.019 |
| dewey-search | 004.019 |
| dewey-sort | 14.019 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| spelling | Karapanos, Evangelos Verfasser aut Modeling users' experiences with interactive systems Evangelos Karapanos Berlin [u.a.] Springer 2013 XII, 161 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence 436 Benutzerrückmeldung (DE-588)4144481-4 gnd rswk-swf Benutzeroberfläche (DE-588)4131424-4 gnd rswk-swf Interaktive Medien (DE-588)4642838-0 gnd rswk-swf Psychometrie (DE-588)4176236-8 gnd rswk-swf Benutzerfreundlichkeit (DE-588)4005541-3 gnd rswk-swf Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd rswk-swf Mensch-Maschine-Kommunikation (DE-588)4125909-9 s Interaktive Medien (DE-588)4642838-0 s Benutzeroberfläche (DE-588)4131424-4 s Benutzerfreundlichkeit (DE-588)4005541-3 s Benutzerrückmeldung (DE-588)4144481-4 s Psychometrie (DE-588)4176236-8 s DE-604 Erscheint auch als Online-Ausgabe 978-3-642-31000-3 Studies in computational intelligence 436 (DE-604)BV020822171 436 text/html http://deposit.dnb.de/cgi-bin/dokserv?id=4040618&prov=M&dok%5Fvar=1&dok%5Fext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025343875&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Karapanos, Evangelos Modeling users' experiences with interactive systems Studies in computational intelligence Benutzerrückmeldung (DE-588)4144481-4 gnd Benutzeroberfläche (DE-588)4131424-4 gnd Interaktive Medien (DE-588)4642838-0 gnd Psychometrie (DE-588)4176236-8 gnd Benutzerfreundlichkeit (DE-588)4005541-3 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd |
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| title | Modeling users' experiences with interactive systems |
| title_auth | Modeling users' experiences with interactive systems |
| title_exact_search | Modeling users' experiences with interactive systems |
| title_full | Modeling users' experiences with interactive systems Evangelos Karapanos |
| title_fullStr | Modeling users' experiences with interactive systems Evangelos Karapanos |
| title_full_unstemmed | Modeling users' experiences with interactive systems Evangelos Karapanos |
| title_short | Modeling users' experiences with interactive systems |
| title_sort | modeling users experiences with interactive systems |
| topic | Benutzerrückmeldung (DE-588)4144481-4 gnd Benutzeroberfläche (DE-588)4131424-4 gnd Interaktive Medien (DE-588)4642838-0 gnd Psychometrie (DE-588)4176236-8 gnd Benutzerfreundlichkeit (DE-588)4005541-3 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd |
| topic_facet | Benutzerrückmeldung Benutzeroberfläche Interaktive Medien Psychometrie Benutzerfreundlichkeit Mensch-Maschine-Kommunikation |
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